Prototype Usability Debrief Survey
A structured post-session debrief for prototype usability tests, measuring task completion, perceived difficulty, friction points, and improvement priorities to inform iterative design decisions.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Have you tested interactive prototypes before today?
- Yes
- No
- Not sure
Now think about the main task you were asked to complete during this session.
The navigation structure was clear and predictable.
Which of the following obstacles, if any, did you encounter during the task? Select all that apply.
- Couldn't find the right feature
- Unclear wording or labels
- Navigation felt inconsistent
- Buttons or links didn't work
- Pages loaded slowly
- Too much visual clutter
- Form or validation issues
- No obstacles
- Other
Overall, how satisfied are you with the prototype experience?
We'd like to learn a bit more about your experience. A short follow-up conversation will ask a couple of questions based on your earlier responses.
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your time—your feedback will directly help us improve this prototype!
Which device did you primarily use during this session?
- Desktop or laptop
- Smartphone
- Tablet
- Other
Were you able to complete the main task in this session?
- Completed without issues
- Completed with minor issues
- Completed with major issues
- Partially completed
- Could not complete
- Did not attempt
Labels and instructions were easy to understand.
If you encountered any friction during the task, please briefly describe the most significant point.
How likely are you to recommend this product to a colleague, based on what you experienced today?
Based on your responses in this survey, is there anything else you would like to share about your experience with the prototype?
Which best describes your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Which browser did you use during this session?
- Chrome
- Safari
- Firefox
- Edge
- Other
- Not sure
Approximately how long did it take you to finish or stop the main task?
- Less than 1 minute
- 1–2 minutes
- 3–5 minutes
- 6–10 minutes
- More than 10 minutes
- Not sure
The visual design helped me focus on the right actions.
If you could change one thing about this prototype, what would you change first?
- Make labels clearer
- Simplify navigation
- Improve visibility of the primary action
- Reduce the number of steps
- Improve error messages and guidance
- Increase contrast and visual hierarchy
- Nothing—it works as is
- Other
In which region do you currently live?
- Africa
- Asia
- Europe
- Latin America and the Caribbean
- Middle East
- North America
- Oceania
- Prefer not to say
How easy or difficult was the main task to complete?
The overall flow of steps felt logical and efficient.
What is the highest level of education you have completed?
- Less than high school
- High school or equivalent
- Some college
- Associate degree
- Bachelor's degree
- Postgraduate degree
- Other
- Prefer not to say
How many errors or restarts did you experience during the main task, if any?
- 0 (none)
- 1
- 2
- 3
- 4 or more
- Not sure
In one sentence, what did the main flow help you accomplish?
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Homemaker or caregiver
- Unemployed and seeking work
- Retired
- Prefer not to say
Did you use any of the following to help you proceed? Select all that apply.
- No help needed
- Used on-screen hints or tooltips
- Retried steps or guessed
- Sought help from someone
- Used search
- Other
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
- Combines structured usability metrics (task completion, time-on-task, error/restart counts, workarounds used) with attitudinal ratings on navigation, labels, visual design, and flow
- Includes an AI follow-up interview that can adaptively probe on friction points and obstacles reported earlier in the survey, rather than relying only on fixed follow-up questions
- Captures open-text detail on what the main flow helped users accomplish and the single most disruptive friction point, giving qualitative context to the quantitative scores
- Rounds out the debrief with device/browser context and demographic segmentation (age, gender, region, education, employment) for cross-cutting analysis of usability results
QuestionPro
System Usability Scale Survey TemplateThis is a fielding-ready template built around the classic System Usability Scale (SUS), a well-known 10-item standardized instrument. It's a solid choice for teams wanting a validated, benchmarkable usability score, but it is a fixed-question static form rather than a task-specific prototype debrief. It doesn't cover task-level friction detail (device, errors, obstacles) the way a dedicated prototype debrief would.
What it does well
- Based on a widely recognized, standardized usability scale (SUS) with established benchmarking norms
- Fielding-ready template usable out of the box
- QuestionPro's platform supports broader survey logic and reporting features
Where it falls short
- Static question set with no adaptive AI follow-up to probe individual responses
- No voice AI interview option or guided screen-share task capability
- No per-response automated quality scoring or transparent prompt methodology
SurveySparrow
Website Usability Survey TemplateThis template targets general website usability feedback rather than a structured post-session prototype test debrief, so it's a comparable but not identical use case. SurveySparrow's conversational, chat-style form format is a genuine strength for completion rates. It lacks the task-specific structure (completion, time-on-task, error counts) built into a true usability test debrief.
What it does well
- Conversational, chat-like survey format designed to improve engagement and completion
- Fielding-ready template aimed at general website feedback
- Part of a broader survey platform with omnichannel distribution
Where it falls short
- No adaptive AI-driven follow-up interview or voice AI interview option
- Not structured around discrete task completion, time-on-task, or error tracking specific to prototype testing
- No automated per-response quality scoring or published prompt methodology
Typeform
System Usability Survey TemplateAnother SUS-style template, this one built on Typeform's polished single-question-per-screen interface. It's fielding-ready and easy to distribute, but like other SUS templates it's a fixed set of attitudinal statements rather than a task-by-task usability debrief with completion and friction tracking. It also does not include any live or AI-assisted interview component.
What it does well
- Clean, single-question interface known for higher completion rates on longer surveys
- Fielding-ready and quick to deploy
- Based on the standardized SUS methodology
Where it falls short
- No adaptive AI follow-up or voice AI interview capability
- No structured task completion, time-on-task, or error/restart tracking
- No automated per-response quality scoring or transparent prompt-level methodology disclosed
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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