Advanced Guide
Confidence Intervals
Understand confidence bands, uncertainty, and decision thresholds for launches.
Advanced Guide
What confidence helps with
Confidence is useful when the team must decide how cautiously to read the summary signal.
Confidence is useful when the team must decide how cautiously to read the summary signal.
Example: if one message scores 68% with a 61–75% interval and another scores 72% with a 64–80% interval, the run does not establish a clear winner; the plausible ranges still overlap substantially.
When the interval is wide, improve the message or persona inputs and run a deeper review. When it is narrower and the qualitative objections point the same way, prioritize the candidate for validation with real users.
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What confidence helps with
- Confidence is useful when the team must decide how cautiously to read the summary signal.
- Example: if one message scores 68% with a 61–75% interval and another scores 72% with a 64–80% interval, the run does not establish a clear winner; the plausible ranges still overlap substantially.
- When the interval is wide, improve the message or persona inputs and run a deeper review. When it is narrower and the qualitative objections point the same way, prioritize the candidate for validation with real users.
02
What confidence cannot do
- It does not convert synthetic feedback into guaranteed market performance.
- It cannot rescue weak persona framing or vague message inputs.
- It should not override strong qualitative objections.