KPI score interpretation
PublishedRoastIQ scores are paired with named KPI definitions so teams know what the number is meant to represent before acting on it.
Validation notes
Calibration and claim boundaries
This page exists to make the product easier to trust. It explains what is calibrated and published today, what confidence labels mean, and where the public site deliberately stops short of making stronger claims.
Current calibration state
Benchmark context
PublishedBenchmark labels provide context for whether a result looks above, around, or below the bar for comparable work.
Confidence language
PublishedConfidence labels are there to signal how heavily a team should lean on a diagnostic when making a decision.
Public agreement coefficients
Not yet publishedThis site does not currently publish panel-agreement coefficients or external validation percentages, and it should not imply otherwise.
How teams should use the outputs
Use the report to narrow decisions, not to pretend uncertainty has disappeared. A strong RoastIQ result can support scale, a weak result can save rework, and a mixed result can point to the exact area that needs another iteration or a deeper test.
- Use benchmark context to interpret a score, not as a substitute for strategy.
- Use confidence labels to decide how quickly the team should act.
- Escalate to human research when the commercial risk is high or the decision remains ambiguous.