Scope
This guide covers setup & configuration for Predictions & Calibration. Availability depends on your tenant package, role and configured providers.
Purpose
Compare model predictions with what actually happened.
Choose eligible model, population, outcome and evidence window.
Before you start
Correct tenant and project selected
Required source or provider is available
An accountable owner is identified
Test data can be separated from live activity
Procedure
- Open the correct tenant and confirm the project or workspace that owns this capability.
- Choose eligible model, population, outcome and evidence window.
- Connect or select the required source records and owners.
- Create a safe test configuration before using live customer or campaign data.
- Compare predicted versus actual using calibration measures.
- Expose sample size, uncertainty and model limitations.
Verify the result
Compare predicted versus actual using calibration measures. Confirm that the intended record, state, run or report is visible to another authorised operator and that its next owner is clear.
Completion checkpoint
The capability is in the intended state, evidence is current, exceptions are owned and the next action can be understood without a separate status message.
Controls and limitations
Expose sample size, uncertainty and model limitations. Predictive, attribution and recommendation outputs support operator judgement; provider and data limitations remain relevant.