Captures what slowed the team, what worked, and whether last sprint's action items actually changed anything. Designed to produce a searchable brief — not a sticky-note archive.
What slowed you down most this sprint — and was it the same thing as last sprint?
Think about blockers, unclear requirements, waiting on others, tooling issues, or anything that added friction.
What did we ship that you're proud of, and why did it go well?
Be specific about what made it work — process, collaboration, preparation, or something else.
Did last sprint's action items actually change anything? Which ones landed, and which ones didn't?
If you don't remember what the action items were, that's useful information too.
What's one decision we made this sprint that you'd make differently in hindsight?
Technical, process, or prioritization decisions all count.
How would you rate the overall effectiveness of this sprint?
Consider delivery, team collaboration, and how much friction there was.
What's the one thing that would make the next sprint noticeably better for you?
Be concrete — 'better communication' is less useful than 'a 10-minute kickoff on each ticket before we start coding'.
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 · ~20 min session