Question | Location(s) | Language(s) | Tag(s) | Response Type(s) | Category | Question (HK-EN) | Question (VN-EN) | Question (HK-CN) | Question (HK-Traditional CN) | Question (VN-VN) | Responses (EN) | Responses (SG-EN) | Responses (VN-EN) | Responses (HK-EN) | Responses (HK-CN) | Responses (HK-TCN) | Responses (VN) | Recommendations | Templates: How to use | Source | |
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What is your annual total individual income (before taxes)? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Income | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided buckets of **annual individual income** ranges are a general base for you to start with. The annual individual income ranges are localized to each country and based on average income ranges for that country (see sources). It is important to adjust the bucketing of the income ranges more finely or broadly based on the possible distribution of your target demographics AND to adjust them if you are running research in other countries. If you don't, you may miss major insights and differences. For example, you may already know that 90% your initial target market are working professionals in Australia and New Zealand. Because these aren't (yet) in the Question Bank, you need to research the average annual individual income for working professionals in both of these countries. Then, create the individual income ranges to make sure they adequately capture insights you can take action on. In another example, you may know that your ideal target market is Wall Street executives based in New York City, USA. If you use the provided bucket of annual individual income ranges for the United States, the majority of this population would fall in the $100,000+ bucket. Having every respondent choose one response would not give you any additional insights and make this question entirely useless. You have to research what the typical income range is for this demographic and adjust the individual income buckets for them. | [HK Breakdown of HHI](https://www.statistics.gov.hk/pub/B10500012019QQ04B0100.pdf) [SG Breakdown of HHI](https://www.singstat.gov.sg/-/media/files/publications/households/pp-s26.pdf) [US Breakdown of HHI](https://www.census.gov/data/tables/2019/demo/income-poverty/p60-266.html) | ||||||||||||||
What is your annual total household income before taxes? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Income | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided buckets of **annual household income** ranges are a general base for you to start with. The annual household income ranges are localized to each country and based on average household income ranges for that country (see sources). It is important to adjust the bucketing of the income ranges more finely or broadly based on the possible distribution of your target demographics AND to adjust them if you are running research in other countries. If you don't, you may miss major insights and differences. For example, you may already know that 90% your initial target market are working professionals in Australia and New Zealand. Because these aren't (yet) in the Question Bank, you need to research the average annual household income for working professionals in both of these countries. Then, create the household income ranges to make sure they adequately capture insights you can take action on. In another example, you may know that your ideal target market is parents of preschoolers in California. If you use the provided bucket of annual household income ranges for the United States, you may exclude some higher income ranges in California above the $200,000+ bucket. You may need to research typical household income ranges for California and adjust the income buckets to ensure you receive representative responses for this demographic. | [HK Breakdown of HHI] (https://www.statistics.gov.hk/pub/B10500012019QQ04B0100.pdf) [SG Breakdown of HHI] (https://www.singstat.gov.sg/-/media/files/publications/households/pp-s26.pdf) [US Breakdown of HHI] (https://www.census.gov/data/tables/2019/demo/income-poverty/p60-266.html) | ||||||||||||||
What is your total (biweekly / monthly) individual income before taxes? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Income | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided buckets of **monthly individual income** ranges are a general base for you to start with. The monthly individual income ranges are localized to each country and based on average income ranges for that country (see sources). It is important to adjust the bucketing of the income ranges more finely or broadly based on the possible distribution of your target demographics AND to adjust them if you are running research in other countries. If you don't, you may miss major insights and differences. For example, you may already know that 90% your initial target market are working professionals in Australia and New Zealand. Because these aren't (yet) in the Question Bank, you need to research the average monthly individual income for working professionals in both of these countries. Then, create the individual income ranges to make sure they adequately capture insights you can take action on. In another example, you may know that your ideal target market is Wall Street executives based in New York City, USA. If you use the provided bucket of monthly individual income ranges for the United States, the majority of this population would fall in the $100,000+ bucket. Having every respondent choose one response would not give you any additional insights and make this question entirely useless. You have to research what the typical income range is for this demographic and adjust the individual income buckets for them. | [HK Breakdown of HHI] (https://www.statistics.gov.hk/pub/B10500012019QQ04B0100.pdf) [SG Breakdown of HHI] (https://www.singstat.gov.sg/-/media/files/publications/households/pp-s26.pdf) [US stats] (https://www.bls.gov/news.release/pdf/wkyeng.pdf) | ||||||||||||||
What is your total (biweekly / monthly) household income before taxes? | United States, Singapore, Hong Kong, Vietnam | English, Vietnamese, Cantonese, Simplified Chinese | Income | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided buckets of **monthly household income** ranges are a general base for you to start with. The monthly household income ranges are localized to each country and based on average household income ranges for that country (see sources). It is important to adjust the bucketing of the income ranges more finely or broadly based on the possible distribution of your target demographics AND to adjust them if you are running research in other countries. If you don't, you may miss major insights and differences. For example, you may already know that 90% your initial target market are working professionals in Australia and New Zealand. Because these aren't (yet) in the Question Bank, you need to research the average monthly household income for working professionals in both of these countries. Then, create the household income ranges to make sure they adequately capture insights you can take action on. In another example, you may know that your ideal target market is parents of preschoolers in California. If you use the provided bucket of monthly household income ranges for the United States, you may exclude some higher income ranges in California above the $200,000+ bucket. You may need to research typical household income ranges for California and adjust the income buckets to ensure you receive representative responses for this demographic. | [HK Breakdown of HHI] (https://www.statistics.gov.hk/pub/B10500012019QQ04B0100.pdf) [SG Breakdown of HHI] (https://www.singstat.gov.sg/-/media/files/publications/households/pp-s26.pdf) [US stats] (https://www.bls.gov/news.release/pdf/wkyeng.pdf) | ||||||||||||||
What is your gender? | Generic, United States, Hong Kong, Vietnam | English, Cantonese, Simplified Chinese, Vietnamese | Gender | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: [The American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) offers guidelines around best practices for asking questions around sex, gender identity and sexual orientation. In summary: questions around sex, gender identity and sexual orientation are often misrepresented (e.g. asking a question about gender identity but listing responses related to sex) or lumped together (e.g. asking a question about sexual orientation and listing responses for both gender identity and sexual orientation) in surveys. However, sex, gender identity, and sexual orientation are separate survey questions. Make sure you ask the right gender question that is relevant to the data you need to collect. The American University Center for Diversity and Inclusion defines **Gender Identity** as referring to the internal / psychological sense of self, regardless of what sex a person was assigned at birth. When asking about gender as a category, words like woman, man, and trans should be used. | [US Response] (https://www.hrc.org) [American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) | ||||||||||||||
What is your sex? | Generic, United States | English | Gender | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: [The American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) offers guidelines around best practices for asking questions around sex, gender identity and sexual orientation. In summary: questions around sex, gender identity and sexual orientation are often misrepresented (e.g. asking a question about gender identity but listing responses related to sex) or lumped together (e.g. asking a question about sexual orientation and listing responses for both gender identity and sexual orientation) in surveys. However, sex, gender identity, and sexual orientation are separate survey questions. Make sure you ask the right gender question that is relevant to the data you need to collect. The American University Center for Diversity and Inclusion defines **Sex** as referring to the biological make up in terms of chromosomes, hormones, and primary and secondary sex characteristics. When asking about sex as a category, words like male, female and intersex should be used. | [American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) | ||||||||||||||
To which sexual orientation do you most identify? | Generic, United States | English | Gender | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: [The American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) offers guidelines around best practices for asking questions around sex, gender identity and sexual orientation. In summary: questions around sex, gender identity and sexual orientation are often misrepresented (e.g. asking a question about gender identity but listing responses related to sex) or lumped together (e.g. asking a question about sexual orientation and listing responses for both gender identity and sexual orientation) in surveys. However, sex, gender identity, and sexual orientation are separate survey questions. Make sure you ask the right gender question that is relevant to the data you need to collect. The American University Center for Diversity and Inclusion defines **Sexual Orientation** as referring to a person’s emotional, physical, and sexual attraction to other people. When asking about sexual orientation as a category, words like gay / lesbian, bisexual / pansexual, and heterosexual should be used. Please note that homosexual is not recommended as it is often used in a pejorative tone. | [American University Center for Diversity and Inclusion] (https://nebula.wsimg.com/4c27929f438a2dee7c064e1c5b2a7b51?AccessKeyId=B6885E9DB42D0C2EAC6F&disposition=0&alloworigin=1) | ||||||||||||||
What is your age? | Generic, Hong Kong, Vietnam | English, Cantonese, Simplified Chinese, Vietnamese | Age | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided buckets of age ranges are a general base for you to start with. The 18-year old cut off is a common boundary for delineating responses from legal minors vs an adults; similarly, 65 or older for retirees. It is important to adjust the bucketing of the age ranges more finely or broadly based on the possible distribution of your target demographics. If you don't, you may miss major insights and differences. For example, you may already known that 90% of your target market is between ages 18-30. If you use the provided bucket of age ranges, there are only two broad buckets that fall within your ideal target. However, perhaps ages 18-21 have very different feedback than ages 22-25. Ages 26-29 also respond very differently than ages 30+, but have similar opinions to ages 22-25. These nuances may be missed if the age ranges aren't properly adjusted. | |||||||||||||||
What is your current employment status? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided employment responses are a general base for you to start with. The responses should be adjusted based on the norms of your target country. For example, consider how many hours does country classifies as working full time. There may also be other options, like mandatory military service in South Korea and Singapore. You should also adjust the responses to fit your target market and the type of data you need to collect. For example, if you are targeting workers in the gig / freelance economy, you may want to ask more questions around contract employment vs full-time employment. If you are targeting college students, they may have full-time internships, part-time internships, part-time jobs, paid university jobs, unpaid university jobs, volunteer positions, etc. | |||||||||||||||
What is your spouse/partner's current employment status? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided employment responses are a general base for you to start with. The responses should be adjusted based on the norms of your target country. For example, consider how many hours does country classifies as working full time. There may also be other options, like mandatory military service in South Korea and Singapore. You should also adjust the responses to fit your target market and the type of data you need to collect. For example, if you are targeting workers in the gig / freelance economy, you may want to ask more questions around contract employment vs full-time employment. If you are targeting college students, they may have full-time internships, part-time internships, part-time jobs, paid university jobs, unpaid university jobs, volunteer positions, etc. | |||||||||||||||
Which of the following best describes which industry you work in? | Generic, United States | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided industries are a general base for you to start with and need to be adjusted based on how that industry is categorized in your target country and / or to match your specific target market. If you are asking a high level industry question like in the responses provided, make sure to check how the country you're surveying lists the industries. For example, different countries may combine certain industries, split out ones that are listed here, or have entirely different industry categorizations. The best place to find country industry categorizations is from that country's **national census.** The industries provided are very high level categorizations. For the US Example, refer to the [Census 2017 Industry Code List with Cross Walk] (https://www2.census.gov/programs-surveys/demo/guidance/industry-occupation/2017-industry-code-list-with-crosswalk.xlsx) to view all of the sub industries under the higher level categorization. For example, **Manufacturing** itself has **79** sub industries listed under it. If you need to collect more granular data (i.e. you want to collect the sub industries), you can either 1) create a question branch that goes from the higher level industry --> sub industries listed under it or 2) have all of the options listed out in a drop down at once. We recommend #1, as #2 is a lot of responses for the participant to sift through. However, if you're limited with survey questions and / don't have the branching functionality, #2 works fine. Finally, if you are targeting specific industries, you should adjust the responses based on the higher level / sub industries within your target market. For example, if you are targeting Agriculture workers, you can simply list out the 5 sub divisions as options and add an "Other" option. Anyone that selects the "other" would be disqualified from taking your survey. | [US Census Bureau](https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html) | ||||||||||||||
What best describes the type of organization you work for? | Generic, United States | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided organization classifications are a general base for you to start with and need to be adjusted based on how that industry is categorized in your target country and / or to match your specific target market. If you are asking a high level organization question like in the responses provided, make sure to double check how the country you're surveying in classifies organizational sectors. Different countries may combine certain sectors, split out ones that are listed here, or have entirely different organization categorizations. The best place to find country industry categorizations is from that country's **national census.** In both the generic and localized responses, the organization types provided are high level categorizations. If you need to collect more data about an organization, you should adjust these to match your target market or ask more follow up questions. For example, if you are targeting private sector employees / companies that are Series A-C in the US, just knowing they work for a for-profit / non-profit organization may not give you enough actionable insights. If your survey is already targeting the private sector, you can adjust this question to ask what funding stage their company is in. The alternative is to ask this question first, then for those who select "private sector" you follow up with the question about funding stages. | [US Census Bureau](https://www.census.gov/topics/employment/industry-occupation/about/class-of-worker.html) | ||||||||||||||
What best describes your funding stage? | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: For the most part, this question and its responses can be used as is. However, it can also be adjust to better match your survey's goals and the information you need to collect. For example, if you only need to know the general stage a company is in and don't need to know the specifics of their series, then you can combine the series A-D options and only ask if they are in the pre-seed / seed / series / IPO stage. | |||||||||||||||
Which of the following best matches your job title? | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided job titles are a high level base for you to start with. The responses will need to be adjusted or clarified based on your country's levels and your specific target market. For country alignment / clarification: global companies often have similar titles that represent different roles in different countries, hence the need to align salary and pay grade globally. A manager in one country may have the same responsibilities as someone considered a senior analyst in another country, etc. Make sure to also adjust the responses based on your target market as well. For example, if you are targeting c-suite level executives +, only three of the provided responses contain c-suite level options - the rest of the responses may be useless for you to ask. Instead of using the responses in this example, you could bucket all the non c-suite level responses together as "Other" and then list out different c-suite level roles separately. Anything listed as "Other" can be DQed from your survey. In another example, you may be targeting UX employees. While some of the options may be appropriate, it's missing some of the typical wording you may see UX roles listed as, such as: junior, mid-level, principle, lead, etc. In this case, you'd to research what UX roles are typically called and adjust the response to reflect a typical UX org. | [Amplitude Research](http://www.amplituderesearch.com/market-research-questions.shtml) | ||||||||||||||
Which of the following best matches your department / function? | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided departments are a base for you to start with. The responses will need to be adjusted or clarified based on a company's departments / functions and to match your target market. The departments provided are an example of how a company may be structured and are generic categorizations. If you are asking this within one company, the responses will need to be adjusted based on how that company is structured. For example, maybe there is no separate Engineering, Marketing, or UX department and everything rolls up into the Product department. Another example could be that the Engineering department is split up by functions, such as data science, front end, back end, etc. If you are targeting employees across multiple companies, it's better to word this as job function instead of department. Once again, these are very generic response and may not perfectly match the data you need to collect. For example, if you are going after different roles within the Health Care industry, there are several missing functions in the provided responses. You will need to adjust the responses based on what's appropriate within the Health Care industry. You may also need to adjust the responses if you are targeting different types of roles within functions / departments. For example, if you are targeting the UX department / function, you may decide to splice the data by different roles, e.g. designers, researchers, writers, etc. It may also be the case that while these roles are "UX," they report into a different department or function. In both instances, the responses will have to be adjusted to collect the data you need. | |||||||||||||||
How many years in total have you worked? | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided years total buckets are a general base for you to start with and are okay to use if you are targeting gen pop. The different buckets should to be adjusted to better fit your specific target markets. In one example, say you are targeting Gen Xers that hold a Bachelor's degree or higher. Gen X was born between 1965 and 1979/80. In 2021, this population is between 41-56 years old. If an assumption is that the majority of our target will have received a Bachelor's degree only and that they received it after attending a 4 year college, then we can assume that most Gen Xers will have graduated around age 22. This would mean that most of our population has around 19 - 34 years of experience in the workforce. Of course not everyone would fall within this range, e.g. some may have gone to school late, gotten higher education, took time out of the workforce to raise kids, medical reasons, etc., but it should be a good range that represents the target. Based our the above assumptions, if we used the provided 'years worked' buckets, we wouldn't be collecting very representative data on Gen Xers with a Bachelors degree+. A very small % would select the majority of the buckets, and the buckets that do represent this population are very wide ranges. Therefore, we should adjust the years worked buckets to something more like: - I have not worked - 0 - 15 years - 16 - 20 years - 21 - 25 years - 26 - 30 years - 31 - 35 years - 36 years or more years Making this change would allow you to collect more nuanced data that's more representative of your target market. | |||||||||||||||
Which of the following describes where you currently work? | Generic | English | Employment | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: Example responses aren't provided for this question as it can go in many different directions. This question could be changed to ask about industry, public vs private, international vs local, size of company, main function of the company, etc. If you know the direction you want to take the question, then create your own response options as a single-select question. If you aren't sure where you want to take this question or what the response options should be, then you have two options: Option 1: Perform secondary research that will give you the insights to create the responses. I.e. read online reports, interview experts in the field, talk to people within your company, ask for internal data, etc. Option 2. Explore this question in qualitative interviews or turn it into an open-ended question in this survey. Both of these will allow you to collect all potential qualitative responses, giving you the insights to turn it into a close-ended response in the future. **However,** for this particular question, we **don't** recommend you turn it into an open-ended response in a survey. Because the question is so vague, you could get responses that are all over the place and it may end up being a waste of a question. It's better to explore this in qualitative interviews or to explore Option 1. | |||||||||||||||
What is the total number of employees working for company? If you don't know, make your best guess. | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided employee amount buckets are a general base for you to start with and should be adjusted based on your target market. For example, if your target market is larger enterprise companies, most of your responses will probably fall under the 500+ employees option. This would be useless data for you, as you can't splice the data any further. You'll want to create larger buckets that account for companies that have employees totals of 2,500, 10,000, 50,000, etc. In another example, if your target market is startups with less than 10 employees, you'll want to break the lowest buckets out further to get more nuanced data. Anyone with 11 employees can be DQed from the survey. Another option is to turn this into a 'numerical' response and allow the participant to fill in their own number or range. However, they may have no idea what the number should be in this instance, whereas at least if they're presented with options they can make an educated guess. | [US Census](https://data.census.gov/cedsci/table?tid=ABSCS2018.AB1800CSA04&hidePreview=true) | ||||||||||||||
What is the total number of people working on your team? If you don't know, make your best guess. | Generic | English | Employment | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: For this question, you should define **team,** as team could be interpreted as department, your manager and their reports, who you directly work with, etc. The provided team size buckets are a general base for you to start with and should be adjusted based on your target market. For example, if your target market is larger enterprise companies, depending on how you define "team," the team sizes could be fairly large. If you don't adjust the buckets to account for larger team sizes, you won't be collecting data that useful or representative of your target market. In another example, if your target market is startups with less than 10 employees, you'll want to break the lowest buckets out further to get more nuanced data - these teams will be extremely small, if there even are "teams." Anyone with 11+ team members can be DQed from the survey. Another option is to turn this into a 'numerical' response and allow the participant to fill in their own number or range. However, they may have no idea what the number should be in this instance, whereas at least if they're presented with options they can make an educated guess. | [US Census](https://data.census.gov/cedsci/table?tid=ABSCS2018.AB1800CSA04&hidePreview=true) | ||||||||||||||
What is the highest degree or level of school you have completed? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Education | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided degrees are a general base for you to start with. Make sure to adjust the responses based on your country and target market. For country specific adjustments: different countries follow different education systems. See the examples of how the United States and Singapore classify their education systems. Although there are some similarities between the two, e.g. in higher education like Bachelor's degrees and up, Singapore has more certifications before a Bachelor's degree than the United States does. While you could get away with interchanging the two, to avoid any confusion and to collect the right data, it's best to make sure to adjust the responses for their individual education systems. For target market adjustments: you can use these responses as is, especially if you're targeting a more gen pop. If your target market is more specific, you can adjust the responses to either collect more granular data or to qualify them based on larger buckets. For example, if your target market is medical professionals like doctors, dentists, physical therapists, chiropractors, etc., then you can assume the participants will have higher education and you don't need to include some of the lower degree. If the data is relevant to your study, then you can create more granular response options based on the different types of medical degrees. | |||||||||||||||
What is your marital status? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Marital Status | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a generic base for different relationship statuses. If you are targeting gen pop, you can use this question and response as is. However, if you are targeting a specific target market, then you may need to adjust the response to fit your target better. For example, if you're targeting divorced people and need to collect more nuanced data, you could create more specific responses such as "recently divorced, in the process of getting divorced, want to file for divorce, divorced for a while, etc" or "divorced and single, divorced and in a relationship, divorced and remarried, etc." Another to collect more nuanced data is to use this question / response as is. Then for those that select "divorced" to branch into follow up questions that are relevant to your study, e.g when they got divorced, the status of the divorce, etc. | |||||||||||||||
Do you currently have children? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Family | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided question and response can be used as is. This will typically be used to qualify them for a study or to branch them into more questions about having / not having children. | |||||||||||||||
How many children do you have? | Generic, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Family | Single-select, Drop-down, Numerical | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a generic base for amount of kids someone may have. You may need to adjust the responses depending on which country / location you are running this study in or based on a more specific target market. For country / location adjustments: in different countries or regional areas within a country, it may be typical to have more or less children. For example, when examining the [2020 total fertility rate](https://www.cia.gov/the-world-factbook/field/total-fertility-rate/country-comparison) (aka child born per woman) of each country, Taiwan had the lowest rate at 1.07 and Niger had the highest at 6.91. So if we were running this question in Taiwan, we could probably show less options and if we were running this in Niger we'd probably have to add more options. For target market adjustments: similarity, you may need to adjust the responses based on your target market. For example, if you're targeting new moms, you can assume most new moms will have one kid, maybe a few more if they have twins or triplets. You can probably list the options as - 1 - 2 - 3+ to keep things simple. | |||||||||||||||
How old are your children? Select all that apply. | Generic, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Family | Multi-select, Single-select, Numerical | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided children's age range buckets are a generic base that is typically used to identify dependents that are still in high school or younger. However, the response should be adjusted based on your target market, especially if you want to know if the parents have kids that are older than high school aged. For example, if you are targeting parents of high school kids, most of the provided age range buckets won't be representative of your population. You will be collecting a lot of data that you can't take action on. Instead, you can break down the options to something such as "13 or younger, 14, 15, 16, 17, 18, 19+" or smaller buckets like "12 or younger, 13-14, 15-16, 17-18, 19+.". Adjusting the responses in this will allow you to collect more data points and explore any difference / similarities between these ages. If you used the buckets in the example, it would be hard to explore major differences because high school aged kids are all lumped together in 2 buckets. In another example, if your target market is parents of children that are aged 20 - 24, then the provided age buckets would all fall within the 18+ age range. This would be completely useless data to you as you wouldn't be able to explore anything. You'd have to create new age ranges that would allow you to collect insights. | |||||||||||||||
What is your race / ethnicity? | United States, Singapore, Hong Kong | English | Ethnicity | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
(What is your / where do you have) residential status? | United States, Singapore, Hong Kong | Cantonese, English | Residency | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What is your nationality / resident status OR Are you a citizen of (country)? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Residency | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Where do you live? | United States, Singapore, Hong Kong, Vietnam | English, Vietnamese, Cantonese | Residency | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Do you have any financial dependents? | Generic | English | Financial Responsibilities | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Who are you financially responsible for? Select all that apply. | Generic, Hong Kong | English, Cantonese | Financial Responsibilities | Multi-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Which of the following describes your role in decisions about (topic) in your household? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Financial Responsibilities | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Which of the following best describes your primary residence? | United States, Singapore, Hong Kong | English, Cantonese, Simplified Chinese | Property | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What best describes your current living situation? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Property | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Which best describes ownership of the property you live? | Generic | English | Property | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Do you currently have a mortgage? | Generic, Hong Kong | English, Cantonese | Property | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Which types of vehicles do you own? | Generic | English | Vehicles | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What religion are you? | United States, Singapore | English | Religion | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Which of the following languages are you literate in? | United States, Singapore | English | Language | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What of the following languages are you fluent in speaking? | United States, Singapore | English | Language | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What do you consider (language)? | Generic | English | Language | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
What is your current degree of mastery for understanding (language)? | Generic | English | Language, Likert Scale | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
What is your current degree of mastery for speaking (language)? | Generic | English | Language, Likert Scale | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
What is your current degree of mastery for reading (language)? | Generic | English | Language, Likert Scale | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
What is your current degree of mastery for writing (language)? | Generic | English | Language, Likert Scale | Single-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
Select which people you use (language) with. | Generic | English | Language | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
Select which situation you use (language) in. | Generic | English | Language | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
Select which place you use (language) in. | Generic | English | Language | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | [Cornell] (https://conf.ling.cornell.edu/pdfs/LangUseQuesF_copy.pdf) | ||||||||||||||
How many people live in your household? | Generic | English | Household | Single-select, Open-ended | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
Who lives in your household? | Generic, Singapore | English | Household | Multi-select | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
What types of transportation do you take to (location)? | Generic, Singapore | English | Transport | Multi-select, Single-select | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. | |||||||||||||||
What is your email address? | Generic, Hong Kong | English, Cantonese, Simplified Chinese | Open-ended, Email | Data Collection | Email is one data collection method on your users. | ||||||||||||||||
How would you feel if you could no longer use (product / service)? | Generic, Hong Kong | English, Cantonese | PMF Metric, Likert Scale | Single-select, Likert Scale | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | |||||||||||||||
How would you feel if we discontinued this (feature)? | Generic | English | Improvement, PMF Metric, Likert Scale | Single-select, Likert Scale | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
How useful did you find (product / service)? | Generic, Hong Kong | English, Cantonese | PMF Metric, Likert Scale, Consumer Feedback | Single-select, Likert Scale | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | |||||||||||||||
What benefits do you think (product / service) has? | Generic, Hong Kong | English, Cantonese | Benefits, PMF Metric | Multi-select, Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **Option 1:** Keep it open-ended till clear winners emerge **Option 2:** Use multi-select to quantify your findings Creating options from small sample sizes might create a false-choice. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
How often do you shop online? (Exclude getting food and calling a car). | Generic, Hong Kong | English, Cantonese | Online Shopping, Likert Scale | Single-select, Likert Scale | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | |||||||||||||||
What are your favorite places to do online shopping? | Generic, Hong Kong | English, Cantonese | Online Shopping | Open-ended | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. | |||||||||||||||
Which of these impacts your online shopping experience most? Select your top 3. | Generic, Hong Kong, Vietnam | English, Cantonese, Vietnamese | Online Shopping | Multi-select, Single-select, Ranking | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. | |||||||||||||||
When you’re thinking about buying (product) online, what 3 brands come to mind? | Generic, Hong Kong | English, Cantonese | Branding, Online Shopping | Open-ended, Multi-select | Market Research | Unaided awareness is typically measuring what's top of mind, while aided awareness is typically measuring brand recognition. Both are measures to be continuously tracked so as to determine whether marketing efforts are working. | [Survey Monkey](https://www.surveymonkey.com/mp/unaided-vs-aided-brand-awareness-survey-questions/?program=7013A000000mweBQAQ&utm_bu=CR&utm_campaign=71700000064348497&utm_adgroup=58700005704021004&utm_content=39700052007397610&utm_medium=cpc&utm_source=adwords&utm_term=p52007397610&utm_kxconfid=s4bvpi0ju&gclid=CjwKCAjw-YT1BRAFEiwAd2WRtvKfpnE1XrUAXyWlX3taxvsbYVedVhNouFv6ZvHS8rfsFgUkUl0lVRoCe1cQAvD_BwE) | ||||||||||||||
When you’re thinking about buying (product), what 3 brands come to mind? | Generic, Hong Kong | English, Cantonese | Branding | Open-ended, Multi-select | Market Research | Unaided awareness is typically measuring what's top of mind, while aided awareness is typically measuring brand recognition. Both are measures to be continuously tracked so as to determine whether marketing efforts are working. | [Survey Monkey](https://www.surveymonkey.com/mp/unaided-vs-aided-brand-awareness-survey-questions/?program=7013A000000mweBQAQ&utm_bu=CR&utm_campaign=71700000064348497&utm_adgroup=58700005704021004&utm_content=39700052007397610&utm_medium=cpc&utm_source=adwords&utm_term=p52007397610&utm_kxconfid=s4bvpi0ju&gclid=CjwKCAjw-YT1BRAFEiwAd2WRtvKfpnE1XrUAXyWlX3taxvsbYVedVhNouFv6ZvHS8rfsFgUkUl0lVRoCe1cQAvD_BwE) | ||||||||||||||
Select which statement you agree with best. | Generic, Vietnam | English, Vietnamese | Rating | Single-select | Template Standards | This is typically used when you're deciding between a few options. Forcing users to choose 1 option over a few others helps you understand which they would prefer. | - Which statement do you agree with best about how you prefer to text message? - I prefer messaging via the phone's default SMS application - I prefer messaging via messaging applications on my phone (i.e. phone apps for Whatsapp, Telegram, FB Messenger) - I messaging via messaging applications on my computer (i.e. desktop apps for Whatsapp, Telegram, FB Messenger) - Which season do you prefer the most? - Fall - Winter - Spring - Summer | ||||||||||||||
What types of products have you purchased online before? Select all that apply. | Generic, Vietnam | English, Vietnamese | Online Shopping | Multi-select, Open-ended | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. **Option 1:** Leaving it open ended will allow people to list out all possibilities of things they've purchased **Option 2:** Listing options allows you to focus on specific products, industries, etc., The example list contains generic online shopping categories. | |||||||||||||||
Why would you be unwilling to perform (actions) online? | Generic, Vietnam | English, Vietnamese | Online Shopping | Multi-select, Single-select, Open-ended | Behavior, status, characteristics | Behavioral questions can help understand your users actions and preferences. **Option 1:** If you don't have a lot of research yet, it's good to collect all the possible qualitative reasons **Option 2:** Listing options allows you to focus on specific reasons / problems you've identified. The example list are some generic options. | |||||||||||||||
What is the primary benefit that you have received from (product / service)? | Generic | English | Benefits | Multi-select, Single-select, Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. It's best to leave this open-ended for as long as possible. Great to ask new users, active users and sometimes even inactive users or cancellation. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
Have you recommended (product / service) to anyone? | Generic | English | Recommendation | Single-select | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. A very simple NPS - because traditional NPS is confusing and hypothetical questions give you hypothetical answers; unreliable. In product, it's more important to understand action than hypotheticals. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
How did you discover (product / service)? | Generic | English | Referrer | Single-select, Multi-select | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. Adjust this list to what is relevant to your product/service. Always good to know which distribution / marketing channels are working and what types of customers they are bringing in. Quality of users is much more important than quantity. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
Where did you first find out about us? | Generic | English | Referrer | Open-ended, Single-select | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. Always good to know which distribution / marketing channels are working and what types of customers they are bringing in. Quality of users is much more important than quantity. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
How did you find our site? | Generic | English | Referrer | Open-ended, Single-select | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. Always good to know which distribution / marketing channels are working and what types of customers they are bringing in. Quality of users is much more important than quantity. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
What were the search terms used find our site? | Generic | English | Referrer, Marketing | Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. Always good to know which distribution / marketing channels are working and what types of customers they are bringing in. Quality of users is much more important than quantity. For example, this really helped us to focus our SEM campaigns and economize our campaign spend on high-impact keywords. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
What search term did you use to find us? | Generic | English | Referrer, Marketing | Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. Always good to know which distribution / marketing channels are working and what types of customers they are bringing in. Quality of users is much more important than quantity. This really helped us to focus our SEM campaigns and economize our campaign spend on high-impact keywords. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
What would you likely use as an alternative if (product / service) were no longer available? | Generic | English | Alternatives | Multi-select, Single-select, Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **Option 1:** An open-ended question of either / both should follow: - How did you accomplish this in the past? - List some of the alternatives that come to mind (for those who see possible alternatives) **Option 2:** If you've a good understanding of the competitive landscape | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
What type of person do you think would most benefit from (product / service)? | Generic | English | Audience | Multi-select, Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. **Option 1:** Keep it open-ended till clear winners emerge **Option 2:** - Use multi-select to quantify your findings - Creating options from small sample sizes might create a false-choice. | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
How can we improve (product / service) to better meet your needs? | Generic | English | Improvement | Open-ended | Product-Market Fit | A Product Market Fit metric, which can help you understand the value individual features are delivering for the users. - Recommend keeping this open-ended - Slicing this by PMF Metric would help to prioritize features by impact - Word clouds are great for visualizing responses | [PMF Survey] (https://pmfsurvey.com) | ||||||||||||||
Were you able to accomplish your goal today? | Generic | English | Ease of task | Single-select | Usability | Used with a pop-up survey so answers are meant to be knee-jerk reactions; these questions should be simple and concise. | |||||||||||||||
How easy or difficult was it for you to complete your task today? | Generic | English | Ease of task, Likert Scale | Single-select, Likert Scale | Usability | Used with a pop-up survey so answers are meant to be knee-jerk reactions; these questions should be simple and concise. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | |||||||||||||||
Were you able to find what you were looking for? | Generic | English | Findability | Single-select | Usability | - Will help in understanding if the navigation system is too complex or if items important to users are buried too deep. - Helps to eliminate frustration | |||||||||||||||
How likely is it that you will recommend our (product / company) to a friend or colleague? | Generic | English | NPS | Rating | Continuous Feedback | The Net Promoter Score (NPS) is a measure of the likelihood of your customers to recommend your product or service to their friends, colleagues and others in their network. General rule of thumb is to only ask one follow-up question. | |||||||||||||||
How would you rate our (product / service) on a scale of 1 - 10? | Generic | English | NPS | Rating | Continuous Feedback | The Net Promoter Score (NPS) is a measure of the likelihood of your customers to recommend your product or service to their friends, colleagues and others in their network. General rule of thumb is to only ask one follow-up question. | |||||||||||||||
How would you rate your overall experience on our site today? | Generic | English | NPS | Rating | Continuous Feedback | The Net Promoter Score (NPS) is a measure of the likelihood of your customers to recommend your product or service to their friends, colleagues and others in their network. General rule of thumb is to only ask one follow-up question. | |||||||||||||||
Does this page meet your expectations? | Generic | English | Bounce Rates | Single-select | Continuous Feedback | - Use with: Pages with the highest bounce rate - When: Users are about to abandon page -Flat out asking people if their expectations were met, combined with the reefer data, will give you better insight into what went wrong with that visitors experience. | |||||||||||||||
Does this page contain the information you were looking for? | Generic | English | Bounce Rates | Single-select | Continuous Feedback | - Use with: Pages with the highest bounce rate - When: Users are about to abandon page Flat out asking people if their expectations were met, combined with the reefer data, will give you better insight into what went wrong with that visitors experience. | |||||||||||||||
What type of product / service did you expect (your product / service) to offer? | Generic | English | Bounce Rates, Marketing | Single-select, Open-ended | Market Research | - Use with: Pages with the highest bounce rate - When: Users are about to abandon page This can help understand if a) your marketing and distribution is sending the right message and/or b) if your UVP (unique value proposition) is clear on your actual page | |||||||||||||||
What's one feature we can that would make (product / service) indispensable to you? | Generic | English | Improvement, Feature | Single-select | Continuous Feedback | This can help prioritise features in your product roadmap. HOWEVER, be cautious that you're making the feature changes for the right persona | |||||||||||||||
Of these four options, what's the next thing you think we should build? | Generic | English | Improvement, Feature | Single-select | Continuous Feedback | This can help prioritise features in your product roadmap. HOWEVER, be cautious that you're making the feature changes for the right persona | |||||||||||||||
How often do you use (this feature)? | Generic | English | Improvement, Feature | Single-select | Continuous Feedback | - This can help understand which current features are valued by your users. - If they've never found the feature, it could mean 1) it's not useful 2) the site is hard to navigate 3) the messaging isn't strong | |||||||||||||||
Have feedback or an idea? Leave it here! | Generic | English | Improvement, Feature | Open-ended | Continuous Feedback | This can help prioritise features in your product roadmap. HOWEVER, be cautious that you're making the feature changes for the right persona. | |||||||||||||||
Rate how acceptable (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Acceptable is great for understanding consumer attitudes or beliefs, especially about controversial topics (e.g. e-cigs, abortion, animal testing). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How acceptable do you think it is for your underage children and their friends to drink alcohol under your supervision? - Rate how acceptable you think the following action is: using a sick day at work to do something fun, e.g. attending a concert or taking a day trip. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how appropriate (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Appropriate is great for understanding consumer attitudes or beliefs, especially about controversial topics (e.g. dress code, behavior). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How appropriate do you think it is to correct someone's grammar in the middle of an argument? - Mark wants to propose to his girlfriend during his brother's wedding reception. Rate how appropriate you think it would it be for Mark to do so. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how important (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Importance is great when you want to understand the value participants give to certain topics (e.g. features, moments, actions, etc). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How important is to speak with a representative before you purchase a financial product online? - Rate how important work-life balance is for your career. - Rate each of the following factors on importance when considering colleges: - Proximity to a city - Vast alumni network - Full time internship/co-op opportunities | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much you agree with (X). | Generic, Hong Kong | English, Cantonese | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Agreement is great when you want to understand the stance consumers take on certain topics, actions, situations, features, etc. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How much do you agree that a company has to be socially responsible for you to consider purchasing from them? - Rate how much you agree with the following statement: I want an authentic local experience when I travel. - How much do you agree or disagree with the following statements about wearing a fitness tracker: - I wear one because it is fashionable. - I wear one because I care about my health. - I wear one because all my friends do. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how true (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Truth is great when you want to understand the stance consumers take on certain topics, actions, situations, features, etc. Be cautious that this is often from the perception of the consumer and may need to be taken with a grain of salt. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How true is the following statement: it is difficult to pick a restaurant when I'm making dinner plans with 3+ friends. - How true is it that you keep your New Year's resolution every year? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how difficult (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Difficulty is great when you want to understand the struggle consumers have in certain situations (e.g. completing actions, making decisions). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How easy is it to get food delivered to your home in less than 30 minutes? - How easy or difficult was it receive your refund? - Rate how easy or difficult it was to perform each of the following tasks on our website: - Finding the items I was searching for. - Adding items to my cart. - Paying for my items. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much (X) reflects you / your opinions. | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Reflect your opinion is great for understanding consumer attitudes or beliefs, especially about controversial topics (e.g. faith, politics, actions). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How true is that you will always defend your friends and family, regardless of the situation. - How much does the following statement reflect your brand loyalty: I will always buy Company X, even if another company is selling the same product for less. - Rate how much the following statements reflect your purchasing behaviors: - Most of my purchases are impulse buys. - Everytime I see a sale I check it out. - Everytime I see a sale I make a purchase. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much (X) reflects your beliefs. | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Reflect your beliefs is great for understanding consumer attitudes or beliefs, especially about controversial topics (e.g. faith, politics, actions). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How much do you believe that all corporations should go fully remote? - Rate how much the following statements reflect your beliefs on public transportation: - Public transportation should be accessible to everyone, no matter their disability. - Public transportation should be affordable to everyone, no matter their income. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much (X) is a priority. | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Priority is great when you want to understand the value participants give to certain topics (e.g. features, moments, actions, etc). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - With each new release, much do you prioritize buying the newest iPhone? - How much do you prioritize individual time away from your significant other? - To help us understand your work goals, rate how you prioritize each of the following: - Maintaining a good work-life balance - Befriending my co-workers - Taking on more job responsibility | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how concerning (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Concern is great when you want to understand the impact certain topics, situations, etc. have on consumers. Be cautious that consumers may have different thresholds for what "concern" means for them. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How concerned are you with the amount of time children spend in front of electronic screens? - Rate how concerned you are with the following situation: receiving an invitation for a party with 10+ people during the pandemic. - Rate how much you're concerned about the following experiences when traveling: - Losing my luggage - Getting gravely injured / falling ill - Experiencing bad weather | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much of a problem (X). | Generic | English | Branding, Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, JTBD, ODI, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Problem is great when you want to understand the impact certain topics, situations, etc. have on consumers. Be cautious that consumers may have different thresholds for what a "problem" means for them. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - If you have no connecting flight, how much of a problem is it when your flight is delayed for <1 hour? - The wait time to see a doctor may take up to 2 hours. How much of a problem is this? - Rate how much of a problem you had performing the following actions on our mobile app: - Finding the item I'm searching for - Comparing items - Adding my payment information | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much of an affect (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Understanding problem and need, Template Standards | Affect is great when you want to understand the impact certain topics, situations, etc. have on consumers. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - In 2022, our magazine plans to switch to digital only. How much does affect your willingness to renew your subscription? - Rate how the following actions affected your decision to cancel our service: - Increasing our price - Changing our UI - Removing X functionality | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much you consider (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Consideration is great if you want to gauge future interest for a situation, product, action, etc. Caution: This is a hypothetical usage question. Take the results from this question with a grain of salt. Humans are poor predictors of the future, even if it's their own behaviour. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - Thanks for trialing our product! After your experience, would you buy our product when we launch? - If your favorite team was in last place, would you still watch their matches? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much you support (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Support is great when you want to understand the value participants give to certain topics (e.g. features, moments, actions, beliefs, etc.). **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - The city is proposing to build a new sports stadium at 123 Street. How much do you support this? - Discover where you fall on the political spectrum by rating how much your support or oppose the following items: - A woman's right to choose whether to have an abortion or not. - Stricter background checks for gun purchases. - Separation of church and state in the government. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how probable (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Probable is great if you want to gauge future interest for a situation, product, action, etc. Caution: This is a hypothetical usage question. Take the results from this question with a grain of salt. Humans are poor predictors of the future, even if it's their own behaviour. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How probable is it that you will travel to 5+ countries this year? - After attending undergrad, rate how probable it is that you will pursue the follower higher degrees: - Master’s degree (e.g. MA, MS, MEng, MEd, MSW, MBA) - Professional degree (e.g. MD, DDS, DVM, LLB, JD) - Doctorate (e.g. PhD, EdD) | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how desirable (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Desirable is great if you want to gauge future interest for a situation, product, action, etc. Caution: This is a hypothetical usage question. Take the results from this question with a grain of salt. Humans are poor predictors of the future, even if it's their own behaviour. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - Below is a preview of two new dishes. How desirable does the food look? - Rate how desirable each of the following new features are for the question bank: - Ability to import my own questions - Ability to chat with other researchers - Ability to translate questions into other languages - Ability to export questions | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Have you participated in / used (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Participation is great to understand past actions, which can be used to predict future actions. Be cautious about self-reported data, as it isn't always true to their actual behaviors. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - Have you ever attended a group yoga class? - Have you ever used food delivery apps (e.g. UberEats, Postmates Grubhub, etc.) - Have you participated in another obstacle race before ours (e.g. Tough Mudder, Spartan Race)? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how frequently (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Frequency is great to understand past, current or estimated future actions, uses, etc. Be cautious about self-reported data, as it isn't always true to their actual behaviors. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How often do you launch quantitative surveys? - How frequently do you pay with cash when dining out? - How frequently do you purchase travel insurance when you fly? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how frequently you use (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Frequency of use is great to understand current actions, which can be used to predict future actions. Be cautious about self-reported data, as it isn't always true to their actual behaviors. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How often do you use a website's chat function when online shopping? - How frequently do you use the following apps when calling a car: - Uber - Lyft | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how familiar you are with (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Familiarity is a great to understand the awareness consumers have with certain topics, trends, products, etc. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How familiar are you with all candidates in the race? - Rate how familiar you are with each of the following LinkedIn functionalities: - Connecting with colleagues - Searching for job opportunities - LinkedIn Learning | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how aware you are with (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Awareness is a great to understand the awareness consumers have with certain topics, trends, products, etc. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How aware are you of the product Airtable and its functionalities? - Rate how aware you are about current events in each of the following continents: - North America - Europe - Asia - Etc. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how likely (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Likely is great if you want to gauge future interest for a situation, product, action, etc. Caution: This is a hypothetical usage question. Take the results from this question with a grain of salt. Humans are poor predictors of the future, even if it's their own behaviour. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How likely would you be to use the Bellini Slushie Research Question Bank to write a survey? - How likely would you be to pay for a Netflix-like subscription for video games? - How likely are you to buy a home in the next 5 years? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much (X) detracts from (Y). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Detracts / enhances is great when you want to understand the effect one variable may have on another variable. For example, a feature to a product, new branding to a product's marketing campaign, the ambiance to a restaurant's appeal, etc. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How much has Instagram's new UI enhanced/detracted from your experience using the app? - Rate how much your perception of Miley Cyrus as a person detracts from the experience of listening to her music. | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how much of a barrier (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Good / bad is great for understanding a consumer's experience. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How much of a barrier do you think your education level is when applying for jobs? - How much of an emotional barrier do you feel between you and your partner? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how good / bad (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Good / bad is great for understanding a consumer's experience. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How was your experience at the doctor's today? - How would you evaluate your interactions with your teammate? | ||||||||||||||
Rate how satisfied you are with (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, NPS | Likert Scale, Rating, Single-select | Template Standards | Satisfaction is great for understanding a consumer's experience. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How satisfied are you with your experience booking your rental car? - Rate how satisfied you are with your new biking shoes' ability to: - Keep your feet warm during cold temperatures - Keep your feet dry when it's wet out - Keep a grip on the bike pedals | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate the quality / experience of (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Quality / experience is great for understanding a consumer's experience. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - Rate the level of care you received from your doctor today. - Evaluate your teammate on the following factors: - Collaboration - Quality of work - Presentation skills - Mentoring of juniors | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how (X) is compared to (Y). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Comparison is great for understanding how a consumer rates two different situations, products, experiences, etc. against each other. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How would you compare the messaging on Screen A to the messaging on Screen B? - Below are app comparison screens of Uber's navigation and international competitor's navigation. Rate how you would compare each competitor's navigation to Uber's navigation. (Note: when selecting your response, rate the competitor against Uber. E.g., if you think the competitor's navigation is better than Uber's, select somewhat/much better) - Lyft (North America) - Grab (Southeast Asia) - Ola Cabs (India) - Didi (China) | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how responsible (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Responsible is great for understanding consumer attitudes towards decision making and consequences. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How much responsibility do you have in your family's financial decisions? - How much responsibility do celebrities have to be good role models for kids? | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how influential (X). | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Influential is great for understanding how much something (e.g. a person, belief, feature, etc.) affects a consumer. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How influential were the debates on your voting decision? - Rate how influential the following functions were on your decision to pay for our service: - Third-party app integrations - Time management / task tracking - Seamless payment system - Referral / review portal | [Marquette University] (https://www.marquette.edu/student-affairs/assessment-likert-scales.php) | |||||||||||||
Rate how (X) performs / ranks. | Generic | English | Audience, Opinion, Lifestyle, Problem Intensity, Consumer Need, Solution Appeal, Consumer Feedback, Feature, Improvement, NPS, Likert Scale | Likert Scale, Rating, Single-select | Template Standards | Performs / ranks is great for understanding a consumer's perception of an experience. This can be compared against multiple products, experiences, etc. **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | - How would rank United Airlines against other US airlines? - How well does United Airlines perform on the following factors: - Customer service - Flight prices - Inflight food | ||||||||||||||
How appealing is (concept)? | Generic | English | Consumer Feedback, Solution Appeal, Likert Scale | Single-select, Likert Scale | Concept Testing | This is typically used in **concept testing**. In concept testing, you present users with a new concept by showing them a descriptive paragraph, prototype, wireframe, video, etc. that illustrates the concept. The user is then asked to rate the concept on certain measures. Over time, you will have a benchmark of past scores (e.g. appeal may average around 55%). When you run a new concept test, you gauge how well the current concept scores against the benchmark (e.g. the new concept got 67% appeal, which is better than benchmark of 55%) **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [Everything You Need to Get Started With Concept Testing] (https://blog.hubspot.com/service/concept-testing) | ||||||||||||||
How relevant is (concept)? | Generic | English | Consumer Feedback, Likert Scale | Single-select, Likert Scale | Concept Testing | This is typically used in **concept testing**. In concept testing, you present users with a new concept by showing them a descriptive paragraph, prototype, wireframe, video, etc. that illustrates the concept. The user is then asked to rate the concept on certain measures. Over time, you will have a benchmark of past scores (e.g. appeal may average around 55%). When you run a new concept test, you gauge how well the current concept scores against the benchmark (e.g. the new concept got 67% appeal, which is better than benchmark of 55%) **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [Everything You Need to Get Started With Concept Testing] (https://blog.hubspot.com/service/concept-testing) | ||||||||||||||
How unique is (concept)? | Generic | English | Consumer Feedback, Likert Scale | Single-select, Likert Scale | Concept Testing | This is typically used in **concept testing**. In concept testing, you present users with a new concept by showing them a descriptive paragraph, prototype, wireframe, video, etc. that illustrates the concept. The user is then asked to rate the concept on certain measures. Over time, you will have a benchmark of past scores (e.g. appeal may average around 55%). When you run a new concept test, you gauge how well the current concept scores against the benchmark (e.g. the new concept got 67% appeal, which is better than benchmark of 55%) **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [Everything You Need to Get Started With Concept Testing] (https://blog.hubspot.com/service/concept-testing) | ||||||||||||||
How exciting is (concept)? | Generic | English | Consumer Feedback, Likert Scale | Single-select, Likert Scale | Concept Testing | This is typically used in **concept testing**. In concept testing, you present users with a new concept by showing them a descriptive paragraph, prototype, wireframe, video, etc. that illustrates the concept. The user is then asked to rate the concept on certain measures. Over time, you will have a benchmark of past scores (e.g. appeal may average around 55%). When you run a new concept test, you gauge how well the current concept scores against the benchmark (e.g. the new concept got 67% appeal, which is better than benchmark of 55%) **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [Everything You Need to Get Started With Concept Testing] (https://blog.hubspot.com/service/concept-testing) | ||||||||||||||
How likely are you to purchase (concept)? | Generic | English | Consumer Feedback, Solution Appeal, Likert Scale | Single-select, Likert Scale | Concept Testing | This is typically used in **concept testing**. In concept testing, you present users with a new concept by showing them a descriptive paragraph, prototype, wireframe, video, etc. that illustrates the concept. The user is then asked to rate the concept on certain measures. Over time, you will have a benchmark of past scores (e.g. appeal may average around 55%). When you run a new concept test, you gauge how well the current concept scores against the benchmark (e.g. the new concept got 67% appeal, which is better than benchmark of 55%) **NOTE**: This is a Likert Scale. Learn more about LIkert Scales and how to use them in surveys [here] (https://bellinislushie.com/blog/what-are-likert-scales-and-how-do-i-use-them-in-my-survey?utm_source=QB&utm_medium=Question&utm_campaign=Likert). The scales in the responses are just examples and need to be adjusted based on your research needs. | [Everything You Need to Get Started With Concept Testing] (https://blog.hubspot.com/service/concept-testing) | ||||||||||||||
What are your pronouns? | Generic | English | Gender | Single-select, Drop-down | Demographic | Demographic questions are important to include as they help you understand the user's responses and / or make sure you're targeting the right participants. Read more about the importance of demographics and how to design demographic survey questions [here](https://bellinislushie.com/blog/why-do-i-still-need-to-care-about-demographics-survey-data?utm_source=QB&utm_medium=Question&utm_campaign=Demographics). **NOTE**: The provided responses are a general base for you to start with. Make sure to adjust the responses based on your country and target market. | |||||||||||||||
I think that I would like to use this system frequently. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I found the system unnecessarily complex. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I thought the system was easy to use. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I think that I would need the support of a technical person to be able to use this system. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I found the various functions in this system were well integrated. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I thought there was too much inconsistency in this system. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I would imagine that most people would learn to use this system very quickly. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I found the system very cumbersome to use. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I felt very confident using the system. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) | ||||||||||||||
I needed to learn a lot of things before I could get going with this system. | Generic | English | Likert Scale, System Usability Scale | Single-select | Usability | **The System Usability Scale (SUS) provides a “quick and dirty”, reliable tool for measuring the usability.** It consists of a 10 item questionnaire with five response options for respondents; from Strongly agree to Strongly disagree. Originally created by John Brooke in 1986, it allows you to evaluate a wide variety of products and services, including hardware, software, mobile devices, websites and applications. **The noted benefits of using SUS include that it:** - Is a very easy scale to administer to participants - Can be used on small sample sizes with reliable results - Is valid – it can effectively differentiate between usable and unusable systems **If you are considering using a SUS, keep the following in mind:** - The scoring system is somewhat complex - There is a temptation, when you look at the scores, since they are on a scale of 0-100, to interpret them as percentages, they are not - The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking - SUS is not diagnostic - its use is in classifying the ease of use of the site, application or environment being tested **Interpreting scoring can be complex.** The participant’s scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. Though the scores are 0-100, these are not percentages and should be considered only in terms of their percentile ranking. Based on research, a SUS score above a 68 would be considered above average and anything below 68 is below average, however the best way to interpret your results involves “normalizing” the scores to produce a percentile ranking. See the source for more references and templates on using and scoring with SUS. | (System Usability Scale)[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) |
Your missing survey design toolkit.
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© 2021 Bellini Slushie
This is a database of basic survey questions. Free for anyone to access and use. New questions added everyday!
Tzeying has been doing UX Strategy & Research across 7 countries in the Asia-Pacific for 10+ years.
Alexandria has been doing concept validation and development in the US and Asia for 5+ years.