Control 4.6: Viva Insights — Copilot Impact Measurement — Troubleshooting
Common issues and resolution steps for Copilot impact measurement using Viva Insights.
Common Issues
Issue 1: Viva Insights Dashboard Not Showing Copilot Data
- Symptoms: The Copilot impact dashboard shows no data or displays a "no data available" message.
- Root Cause: Viva Insights may not be licensed or configured, data pipeline delay, or insufficient Copilot usage for analysis.
- Resolution:
- Verify Viva Insights licenses are assigned to the analysis population.
- Confirm Copilot has been active for at least 30 days (initial data requires history).
- Check that the Viva Insights data sources include Copilot interaction data.
- Verify the minimum group size is met for the selected population.
Issue 2: Privacy Controls Too Restrictive for Analysis
- Symptoms: Analysts cannot access sufficient data granularity for meaningful Copilot impact analysis.
- Root Cause: Privacy settings (minimum group size, data access restrictions) may be more restrictive than necessary for analytical purposes.
- Resolution:
- Review the minimum group size setting — consider reducing to 10 if currently higher.
- Evaluate whether the analyst role has appropriate permissions.
- Consider creating a dedicated Viva Insights analyst role with appropriate access.
- If organizational policy requires high privacy thresholds, aggregate data manually from department-level reports.
Issue 3: Inaccurate Time Savings Estimates
- Symptoms: Viva Insights reports time savings that seem unrealistically high or low compared to user feedback.
- Root Cause: Time savings algorithms use heuristic models that may not accurately reflect all types of Copilot usage.
- Resolution:
- Supplement Viva Insights time savings estimates with direct user surveys.
- Validate estimates against specific use cases with measurable time savings.
- Use the estimates as directional indicators rather than precise measurements.
- Document the methodology and limitations when presenting ROI data to leadership.
Issue 4: Comparison Analysis Skewed by User Demographics
- Symptoms: Copilot vs. non-Copilot comparisons show misleading results because the groups have different job profiles.
- Root Cause: Copilot may be deployed first to specific roles that naturally have different collaboration patterns.
- Resolution:
- Use matched pair analysis — compare users with similar roles and departments.
- Control for department, role level, and tenure in the analysis.
- Use pre/post analysis for the same users rather than cross-group comparison.
- Document any demographic differences between groups in the analysis methodology.
Diagnostic Steps
- Check Viva Insights access: Navigate to insights.viva.office.com and verify access.
- Verify data freshness: Check the last updated date on the Copilot dashboard.
- Review privacy settings: Confirm minimum group size and data access configurations.
- Test data extraction: Run the Graph API reports to verify data availability.
Escalation
| Severity | Condition | Escalation Path |
|---|---|---|
| High | No Viva Insights data available for governance reporting | IT Admin + Microsoft Support |
| Medium | Privacy settings preventing required analysis | Privacy officer + Viva admin |
| Medium | Inaccurate ROI reporting to leadership | Analytics team for methodology review |
| Low | Minor dashboard display issues | IT support |