Scope
This guide covers measurement for AI Team Operations. Availability depends on your tenant package, role and configured providers.
Purpose
See specialised agents, runs, outputs and team-level activity.
Compare run completion, accepted output and operational outcomes.
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
- Write the decision the report must support and choose the correct scope.
- Compare run completion, accepted output and operational outcomes.
- Verify source freshness, identity coverage and the reporting window.
- Compare the result with campaign, customer and commercial context.
- Record data gaps, assumptions and alternative explanations.
- Create the next task, experiment or operating change from the finding.
Verify the result
Compare run completion, accepted output and operational outcomes. 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
Keep tasks scoped, observable and reviewable. Predictive, attribution and recommendation outputs support operator judgement; provider and data limitations remain relevant.