Evaluates documentation completeness, example quality, and information findability from the user's perspective. Designed for product and developer-experience teams seeking prioritized, actionable improvement signals.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
23
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to our Documentation Feedback Survey.
We're conducting this survey to understand how well our documentation supports your work and where we can improve. Your responses are confidential, will be reported only in aggregate, and will be used internally to prioritize documentation improvements.
There are no right or wrong answers — we simply want your honest experience. Participation is voluntary and you may stop at any time. The survey takes approximately 6–8 minutes to complete.
Please click 'Next' to begin.
Q2
Multiple Choice
How often did you consult our documentation in the past 30 days?
Daily or almost daily
2–3 times per week
About once per week
A few times in the past 30 days
Once in the past 30 days
Not in the past 30 days
Q3
Multiple Choice
Which of the following do you use to find documentation? Select all that apply.
Search box within the docs site
Left navigation or sidebar
In-page table of contents
Tags or categories
Search engine (e.g., Google)
Links from the product UI
In-product help or tooltips
SDK README or code comments
Bookmarks or direct links
Asked a colleague
Contacted support or account rep
Community forum or Q&A
Other
Q4
Opinion Scale
Overall, how complete is the documentation for the features you use?
Range: 1 – 7
Min: Not at all completeMid: NeutralMax: Very complete
Q5
Opinion Scale
How confident are you that the documentation is up-to-date and accurate?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Very confident
Q6
Long Text
Which topics, steps, or edge cases feel missing or too shallow? Please include links or feature names if possible.
Max chars
Q7
Multiple Choice
In the past 30 days, did you use code examples or sample configurations from the docs?
Yes
No
Not applicable — my use doesn't involve code or configuration
Q8
Opinion Scale
How accurate and error-free were the code examples or sample configurations you used?
Range: 1 – 7
Min: Not at all accurateMid: NeutralMax: Very accurate
Q9
Opinion Scale
How relevant were the examples to your specific use case or technology stack?
Range: 1 – 7
Min: Not at all relevantMid: NeutralMax: Very relevant
Q10
Opinion Scale
How easy was it to adapt the examples to your own project?
Range: 1 – 7
Min: Very difficultMid: NeutralMax: Very easy
Q11
Opinion Scale
How easy is it to find the documentation you need?
Range: 1 – 7
Min: Very difficultMid: NeutralMax: Very easy
Q12
Opinion Scale
When you search the docs site, how often does the first page of results contain the answer you need?
Range: 1 – 7
Min: NeverMid: NeutralMax: Always
Q13
Multiple Choice
After reading the documentation, how often do you still need to contact support for the same issue?
Almost always
Often
Sometimes
Rarely
Never
I don't contact support
Q14
Multiple Choice
When you contact support about a documentation issue, what are the main reasons? Select all that apply.
Steps are unclear or ambiguous
Missing detail for edge cases
Content is outdated or has version mismatches
Cannot locate the right page
Examples don't run or don't match my stack
Need confirmation of best practice
Prefer human confirmation
Other
Q15
Ranking
Please rank the following documentation improvements from most to least important.
Drag to order (top = most important)
Improve search relevance and results
Add more end-to-end examples
Clarify step-by-step task guides
Expand troubleshooting and diagnostics
Make version differences and changes clearer
Add more conceptual overviews
Q16
Long Text
If you could add one example or template to the docs, what would it cover?
Max chars
Q17
AI Interview
We'd like to explore your documentation experience in a bit more depth. An AI interviewer will ask you a couple of follow-up questions.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q18
Long Text
Based on your responses in this survey, is there anything else you'd like to share about your documentation experience?
Max chars
Q19
Multiple Choice
Which best describes your role?
Developer / Engineer
Data Scientist / Analyst
DevOps / SRE
Product Manager
Technical Writer
Support / Customer Success
Other
Q20
Multiple Choice
How long have you been using our product?
Less than 1 month
1–3 months
4–12 months
1–2 years
3+ years
Q21
Multiple Choice
How many employees work at your company?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001+
Q22
Multiple Choice
In which region are you primarily located?
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
Prefer not to say
Q23
Chat Message
Thank you for your time — your feedback will directly inform documentation improvements. If you have urgent issues, please reach out to our support team.
Frequently Asked Questions
What is QuestionPunk?
QuestionPunk is an AI-powered survey and research platform that turns traditional surveys into adaptive conversations. Describe your research goal and get a complete survey draft, conduct AI-moderated interviews with dynamic follow-ups, detect low-quality responses, and produce insights automatically. It's fast, flexible, and scalable across qualitative and quantitative research.
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Sign up, then choose how to build: describe your research goal and let AI generate a survey, pick a template, or start from scratch. Add question types, set logic, preview, and share.
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How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
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