Predicted Risks
Predicted Risks uses AI to forecast which OKRs and Key Results are likely to miss their targets — before it is too late to course-correct.
How predictions work
The risk engine analyses check-in velocity, progress trajectory, health score trends, and the time remaining in the cycle. It calculates the projected end-of-cycle value for each KR and flags those likely to fall short.
Risk severity
| Severity | What it means |
|---|---|
| Critical | Projected to miss the target by a significant margin at current pace |
| High | Behind pace and at risk of missing the target |
| Medium | Slightly behind pace — attention recommended |
Where to view risks
Go to Reports → Risks to see all predicted risks across your OKRs. The Dashboard also shows a summary of critical risks.
Acting on a risk
Click any risk to see the AI's suggested action — a specific recommendation for what to do to get that KR back on track.
Predictions improve over time
Risk predictions become more accurate as check-in history builds up. Early in a cycle, predictions are based on limited data and may be less reliable.