Close the learning loop on every significant deal — won or lost. Capture the real reason, the competitive dynamic, and what would have changed the outcome.
Tell me about this opportunity — what was the customer's situation and what were they trying to accomplish?
Set the scene: company size, role of the buyer, what triggered their search, what they were trying to solve.
What was the outcome — win or loss — and what's your honest read on the primary reason?
The stated reason from the customer and your own analysis may differ. Share both if you have a view.
Which competitors were in the mix — and how did they position against us?
What did the customer say about them? What advantages did they claim? Did pricing come up?
What objections came up during the process — and how did you handle them?
List the objections in order of how hard they were to handle. What resolved them — or what didn't?
What worked in our favor throughout this deal?
Messages that landed, proof points that moved things, moments where we had a clear advantage.
If you had to name the one thing that determined the outcome — what would it be?
One thing. If it was a win, what closed it? If it was a loss, what would have changed the outcome?
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 · ~3 min session