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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.

Part of Validate Demand

Example

A sample of what this play produces. Your result is generated for your inputs.

Problems

LabelAverageBandBelow bar
Getting real work out of AI is manual craft: re-explain the business every session, carry the output by hand, nothing compounds9burningfalse
Contracting a freelancer for each one-off task is too slow and too expensive at pre-seed7moderatetrue

Solutions

LabelAverageBandBelow bar
A living workspace that holds the venture's facts and runs ready-made plays with them7.5likely-adoptedfalse

Below threshold flags

KindLabelAverageBar
problemContracting a freelancer for each one-off task is too slow and too expensive at pre-seed78
Inputs
Problem bar
8
Solution bar
6
Problems
Label
Getting real work out of AI is manual craft: re-explain the business every session, carry the output by hand, nothing compounds
Scores
  • 9
  • 10
  • 8
  • 9
Label
Contracting a freelancer for each one-off task is too slow and too expensive at pre-seed
Scores
  • 7
  • 8
  • 6
  • 7
Solutions
Label
A living workspace that holds the venture's facts and runs ready-made plays with them
Scores
  • 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.

Opens later

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