Q01
Message
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Technical Documentation Usability & Effectiveness Survey
Evaluates whether developers, engineers, and other technical users can actually find answers, understand concepts, and finish tasks using your documentation — not just whether they like it. An AI follow-up interview reconstructs the last real incident where the docs helped or failed them, surfacing specifics a satisfaction score alone would miss.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
Which best describes how you most often use our technical documentation?
- API/reference documentation
- Getting started or setup guides
- Troubleshooting or error resolution
- Step-by-step tutorials or how-to guides
- Release notes or changelogs
- Other
Q03
Multiple ChoiceRequired
In the last 30 days, how often have you consulted our technical documentation?
- Daily
- A few times a week
- A few times a month
- Once
- Not at all in the last 30 days
Q04
Opinion ScaleRequired
The last time you needed specific information, how easy was it to find in the documentation?
Scale: 1 – 7
Min:Very difficult to findMax:Very easy to find
Q05
Opinion ScaleRequired
How much did the documentation help you complete that task without needing to ask a colleague, search elsewhere, or contact support?
Scale: 1 – 7
Min:Did not help at allMax:Helped me complete it entirely
Q06
MatrixRequired
Rate the documentation on each of the following:
5 rows × 5 columns
- Accuracy of the information
- Clarity of writing and explanations
- Quality and relevance of code examples
- How up to date it is with the current product/version
- Ease of navigation and search
Columns: Poor · Below average · Average · Good · Excellent
Q07
Multiple ChoiceRequired
Thinking of the most recent time you used the documentation, were you able to complete what you set out to do?
- Yes, fully
- Yes, but only partially
- No, I gave up
- No, I found the answer somewhere else (forum, colleague, support, etc.)
Q08
AI Interview
Reconstruct the most recent specific instance where the respondent used the documentation: what they were trying to accomplish, which page or section they landed on, and exactly where it helped or broke down. If they said they gave up or found the answer elsewhere, probe what they searched for, why the docs didn't surface it, and where they ultimately found the answer. If they said the docs fully solved their task, probe what made that page work so well so it can be used as a model.
Q09
Best–Worst Trade-off (MaxDiff)Required
If we could only fix a few things about the documentation, which would matter most to you?
- Better search functionality
- More complete, runnable code examples
- More diagrams or visual explanations
- Faster updates after new releases
- Clearer explanations of error messages
- Better organization and navigation between topics
- More real-world use-case walkthroughs
Pick best & worst per setBest:Would improve my experience mostWorst:Would improve my experience least
Q10
Rating ScaleRequired
Overall, how satisfied are you with our technical documentation?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q11
Long Text
Is there a specific page, guide, or topic that's especially confusing, outdated, or missing right now? Include a link or title if you can.
Q12
Multiple Choice
Which best describes your role?
- Software developer/engineer
- DevOps/SRE
- Technical writer
- Product manager
- QA/test engineer
- IT administrator
- Student/learner
- Other
- Prefer not to say
Q13
Message
That's everything — thank you! Your feedback and the AI interview responses go directly into a report the documentation team uses to prioritize fixes.
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 reconstructs the respondent's most recent specific instance of using the documentation, surfacing concrete details a scale score can't capture
- Pairs opinion-scale questions on findability and task completion with a matrix rating across multiple documentation dimensions, so we quantify usability rather than just satisfaction
- Uses a MaxDiff exercise to force-rank which documentation problems matter most, giving prioritized fix targets instead of a flat list of complaints
- Closes with a long-text prompt for specific confusing/outdated pages plus a role question, so feedback can be routed and traced back to context
QuestionPro
Technical Documentation Survey TemplateThis is a directly comparable static survey template for evaluating technical documentation, covering similar ground like ease of use and satisfaction. It's a fielding-ready template within a broad, established survey platform rather than one built around AI-driven interviews. Question logic and reporting appear to follow QuestionPro's standard survey/reporting toolset.
What it does well
- Purpose-built template specifically for technical documentation feedback
- Backed by a large, mature survey platform with broad question-type and distribution options
- Likely includes standard analytics/reporting dashboards typical of QuestionPro
Where it falls short
- No adaptive AI follow-up interview to reconstruct a specific incident behind a satisfaction rating
- No mention of voice AI interviews or guided screen-share tasks to observe real documentation use
- No transparent, per-response quality scoring or published interview prompt methodology
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.