Q01
Message
All templatesDeveloper & Engineering
Developer Documentation Findability & Navigation UX Survey
Evaluates how easily developers can find, navigate, and understand technical documentation. Measures discoverability, search quality, information architecture fit, and terminology clarity to prioritize documentation UX improvements.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
22 questions · ~10 min
Q02
Multiple Choice
Have you used any developer documentation in the last 30 days?
- Yes
- No
Q03
Opinion Scale
How easy was it to find the topic you needed?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q04
Multiple Choice
Did you use the site's search feature during your most recent session?
- Yes
- No
Q05
Opinion Scale
How well did the page structure and content flow match the task you were trying to accomplish?
Scale: 1 – 7
Min:Not at all wellMax:Extremely well
Q06
Opinion Scale
How clear and consistent was the terminology used in the documentation?
Scale: 1 – 7
Min:Very unclear and inconsistentMax:Very clear and consistent
Q07
Long Text
Was anything missing or hard to locate? Please describe the topic and where you expected to find it.
Q08
Multiple Choice
Which best describes your primary role?
- Front-end developer
- Back-end developer
- Full-stack developer
- Mobile developer
- Data / ML practitioner
- DevOps / SRE
- Technical writer
- Product manager
- Other
Q09
Message
Thank you for your time — your feedback directly helps improve developer documentation!
Q10
Multiple Choice
How often do you use developer documentation?
- Daily
- Several times a week
- Weekly
- Monthly
- Less often
Q11
Opinion Scale
How much effort did it take to find the information you needed?
Scale: 1 – 7
Min:Very little effortMax:A great deal of effort
Q12
Opinion Scale
How relevant were the search results to what you were looking for?
Scale: 1 – 7
Min:Not at all relevantMax:Extremely relevant
Q13
Opinion Scale
After reading the documentation, how confident were you that you could complete your task?
Scale: 1 – 7
Min:Not at all confidentMax:Completely confident
Q14
Long Text
Please list any terms, acronyms, or parameter names that were unclear or confusing. Include examples if possible.
Q15
AI Interview
Based on your survey responses, we'd like to explore your documentation experience in a bit more depth. An AI moderator will ask you a couple of follow-up questions.
Q16
Multiple Choice
How many years of professional coding or technical experience do you have?
- 0–1
- 2–4
- 5–9
- 10+
Q17
Long Text
Which documentation site or product did you use most recently?
Q18
Opinion Scale
How would you rate the overall navigation structure of the documentation you used?
Scale: 1 – 7
Min:Very poorMax:Excellent
Q19
Ranking
Rank the following navigation aids by how much they help you find information (most helpful first).
- Search
- Table of contents
- Left-hand sidebar
- On-page headings
- Related links
- Site-wide navigation
Drag to rank
Q20
Multiple Choice
What is the primary programming language you used with this documentation?
- JavaScript / TypeScript
- Python
- Java
- C# / .NET
- Go
- C / C++
- Ruby
- PHP
- Swift / Kotlin
- Other
Q21
Multiple Choice
What is the size of your organization?
- Just me
- 2–10
- 11–50
- 51–250
- 251–1,000
- 1,001+
Q22
Dropdown
In which region are you located?
- North America
- Europe
- Asia
- South America
- Africa
- Oceania
- Middle East
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes an AI follow-up interview that adapts to each respondent's earlier answers about their documentation experience, going beyond fixed-choice questions
- Combines quantitative UX metrics (findability, search relevance, navigation structure, terminology clarity) with open-text follow-ups on unclear terms and missing content
- Uses a ranking exercise to prioritize which navigation aids (e.g., search, sidebar, breadcrumbs) actually help users, giving direct input for IA decisions
- Captures role, experience level, primary language, and org size as segmentation variables so findability issues can be analyzed by developer persona
QuestionPro
Technical Documentation Survey TemplateThis is a fielding-ready static survey template focused on technical documentation feedback, covering clarity and usefulness at a general level. It's a reasonable starting point for basic satisfaction tracking but doesn't appear structured around specific UX dimensions like search quality or information architecture fit. As with most QuestionPro templates, it is built for standard multiple-choice/rating question flows rather than conversational depth.
What it does well
- Ready-to-use template within an established survey platform with broad question-type support
- Backed by QuestionPro's reporting and analytics dashboard
- Likely customizable within their survey builder for teams already on that platform
Where it falls short
- No adaptive AI follow-up questioning — respondents get the same fixed question set regardless of their answers
- No voice AI interview or guided screen-share task option to observe actual navigation/search behavior
- No published methodology on how questions were validated or scored, unlike a platform with transparent, per-response quality scoring
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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