Microsoft documents readiness, adoption, impact and sentiment views in the Copilot Dashboard, with usage and adoption metrics grouped by organisational attributes where privacy thresholds are met.
Microsoft Learn — Microsoft Copilot DashboardCompare approaches
Comparison
AI-adoption dashboards show usage; Teho starts with the work that should change
Do AI-adoption dashboards prove that AI improved the work?
AI-adoption dashboards can show readiness, active use, feature use, sentiment and platform-defined impact measures. Teho starts with a defined work pattern and an intended operating change, then asks whether low-value load, high-value work, quality, burden, control or a relevant business driver moved.
- Intent:
- Comparison
- Reviewed:
- 2026-07-18
- Expires:
- 2026-10-16
Decision value
Use an adoption dashboard to manage rollout and understand tool use. Use Teho when leadership must decide whether the underlying work changed as intended, whether burden moved elsewhere and what action to take next.
Best fit and not best fit
Best fit when
- The immediate job is licence readiness, rollout or feature-adoption management.
- Leaders need platform-specific usage, sentiment or adoption metrics.
Not the best fit when
- The decision spans tools or requires evidence about the work rather than usage alone.
- Leadership needs an explicit keep, adapt, scale or stop decision about an intervention.
Decision detail
What to check before acting
Adoption is a necessary but separate signal
A change cannot create value if nobody uses it, but usage alone does not establish that the targeted work improved. Keep adoption, work-pattern change and business movement as separate evidence layers.
Define the comparison before launch
Record the baseline, affected cohort, exposure, expected mechanism, time horizon and relevant driver before interpreting later movement.
Source-backed facts
- Owner
- Growth / Website
- Reviewed
- Expires
Next step