Score · Assess & Decide · Analysis & Finance
Buyer interview signal scoring for a burning problem
Each problem and solution averaged, banded, and flagged against the burning-problem and likely-adopted bars.
You receive: A reviewed interview-scoring calculator + the passing test report, run on your interview scores.
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Example
A sample of what this play produces. Your result is generated for your inputs.
Problems
| Label | Average | Band | Below bar |
|---|---|---|---|
| Getting real work out of AI is manual craft: re-explain the business every session, carry the output by hand, nothing compounds | 9 | burning | false |
| Contracting a freelancer for each one-off task is too slow and too expensive at pre-seed | 7 | moderate | true |
Solutions
| Label | Average | Band | Below bar |
|---|---|---|---|
| A living workspace that holds the venture's facts and runs ready-made plays with them | 7.5 | likely-adopted | false |
Below threshold flags
| Kind | Label | Average | Bar |
|---|---|---|---|
| problem | Contracting a freelancer for each one-off task is too slow and too expensive at pre-seed | 7 | 8 |
Inputs
- 9
- 10
- 8
- 9
- 7
- 8
- 6
- 7
- 8
- 7
- 9
- 6
Worked example on STUD.com's own venture (four founder interviews, respondent scores illustrative). The core problem averages 9.0 and bands burning; the adjacent freelancer problem averages 7.0, below the 8.0 bar, so it is flagged as not burning enough to build on. Whether a burning problem is the right one to chase stays a human call.
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