Extract reusable knowledge from a completed project before the team moves on.
Overall, how successful was this project?
1 = did not meet objectives, 5 = exceeded expectations.
What went better than expected?
Practices, decisions, or team dynamics that you'd want to repeat.
What was the biggest challenge your team faced?
The hardest thing to navigate — not just what took the most time.
What risks materialised that you didn't anticipate at the start?
Surprises that, with hindsight, could have been caught earlier.
What would you do differently if starting this project over?
Be specific — vague hindsight doesn't transfer to future teams.
What knowledge from this project is most important to document for future teams?
Technical decisions, process discoveries, stakeholder dynamics, or domain knowledge.
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 6 questions · ~10 min session