Captures why a deal was won or lost in the rep's own words — the competitive dynamic, the objections, and what actually determined the outcome. Designed to reveal real win/loss drivers when synthesized across a quarter.
What was the final outcome of this deal, and what do you think was the single biggest factor that determined it?
Be specific — price, product fit, relationship, timing, or something else entirely.
Who else was involved in the buying decision, and did we ever lose track of a stakeholder's concerns?
Think beyond the main contact — economic buyer, technical evaluator, end users.
What competitor(s) were in this deal, and what did they do well that we didn't?
If no competitor was involved, say so — that's useful information too.
What objection came up that we were least prepared for?
The moment where you had to improvise an answer.
How confident are you that this outcome reflects the real reason, not just the official close reason in the CRM?
Be honest — CRM close reasons are often oversimplified.
What would you do differently if you ran this deal again?
Concrete and specific beats general lessons.
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 · ~15 min session