Structured post-session feedback on a product or prototype.
What were you trying to accomplish in this session?
Describe your goal in your own words — what did you expect to be able to do?
Were you able to complete your goal?
→ If answer is "No" → skip to Q3
→ If answer is "Yes" → skip to Q4
Where did you get stuck or confused?
Describe the specific point where things went wrong — what were you looking for, and what happened instead?
How easy was the product to use overall?
1 = very difficult, 5 = very easy.
What worked well?
Tell us what felt intuitive, clear, or satisfying — what should we keep?
What was most frustrating or confusing?
Be specific — describe moments where you hesitated, had to backtrack, or felt lost.
What one change would make the biggest difference to your experience?
If you could only fix one thing, what would it be?
After each completed session, Mayetik generates a structured AI summary. Here's an example of the output format — the actual content reflects each respondent's answers.
The respondent's answers highlighted three recurring themes — each supported by specific examples drawn from their experience. The summary captures what was said, not what was expected.
Two responses stood out as unusually detailed and pointed to an area worth following up on. The full text of each answer is preserved below the summary.
Based on the patterns in this session, the AI identified three concrete actions for the project team to consider. These are drawn directly from the respondent's own suggestions.
Generated from 7 questions · ~10 min session