Captures what confused new engineers, what took longer than it should have, and what they had to figure out themselves. Synthesize across cohorts to build a prioritized list of what to actually fix.
What took you the longest to figure out in your first month — and how did you eventually figure it out?
Could be a process, a system, an unwritten rule, a deployment step, or a codebase quirk.
How well did the onboarding process prepare you to contribute independently?
Consider setup docs, codebase walkthroughs, introductions to team norms, and clarity on how to get unblocked.
What do you wish had been documented that wasn't?
The things you had to ask someone about — or stumbled into by accident.
Where did the onboarding docs or setup guides send you down a wrong path?
Out-of-date instructions, missing steps, assumptions about your environment that didn't hold.
What was surprising about how the team actually works — different from what you expected or what was written down?
Real process vs. documented process, informal norms, how decisions actually get made.
What's the one thing you'd change about onboarding for the next engineer who joins?
Be specific — a concrete addition, removal, or change, not a general direction.
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