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Documentation Experience & Findability Assessment

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)
  1. Improve search relevance and results
  2. Add more end-to-end examples
  3. Clarify step-by-step task guides
  4. Expand troubleshooting and diagnostics
  5. Make version differences and changes clearer
  6. 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 a lightweight survey platform for live AI interviews you control. It's fast, flexible, and scalable—adapting every question in real time, moderating responses across languages, letting you steer prompts, models, and flows, and even generating surveys from a simple prompt. Get interview-grade insight with survey-level speed across qual and quant.
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