Documentation Index
Fetch the complete documentation index at: https://help.loopiq.com/llms.txt
Use this file to discover all available pages before exploring further.
Use Prediction Center and Review Artifacts
What this does
Prediction Center helps users understand likely future delivery outcomes, not just current dashboard status. It combines structured risk scoring, trained model paths where available, and AI-generated explanations and recommendations.Use Prediction Center
Prediction Center can surface forecasts such as:- release slip prediction
- incident risk after release
- approval or compliance breach prediction
- sprint spillover prediction
- defect escape prediction
- team capacity risk
- customer impact risk
- control drift prediction
- service instability
- objective attainment risk
- AI productivity regression
- a risk score
- confidence
- benchmark or baseline context
- likely causes
- recommended actions
- whether the result came from a model-backed score or another score engine
Interpret a forecast
When reviewing a forecast, focus on:- the current risk level
- what changed from the baseline
- which teams, releases, services, or controls are affected
- which actions are recommended next
Create a review artifact from a prediction
- Open the prediction card.
- Choose Promote to review artifact.
- Select the review pack where the issue belongs.
- Confirm or edit the title and recommendation.
- Assign an owner.
- Set a due date and status.
- Save the artifact.
Manage review artifacts
Review artifacts are used to track action after a finding is identified. They can include:- title
- recommendation
- owner
- due date
- status
- linked dashboard or chart context
Recommended use cases
Prediction Center is especially useful for:- weekly engineering reviews
- release readiness checkpoints
- compliance and certification reviews
- executive portfolio reviews