Adoption rate is a model, not a feeling
Adoption is often judged by anecdote: a few enthusiastic users, a quiet rollout, a sense that things are going fine. A measured adoption model instead tracks defined usage events against defined cohorts over time, so leaders can see where adoption is real, where it is stalling, and why, instead of guessing from scattered feedback.
- 01Define the target behaviourSpecify exactly what counts as adoption, such as completing a workflow weekly, not just logging in once.
- 02Segment by cohortTrack adoption by team, tenure or role rather than one company-wide average.
- 03Set a cadenceReview the numbers on a fixed schedule, not only when someone asks.
- 04Separate trial from habitDistinguish one-off use from repeated, sustained use over several cycles.
Adoption is usually described in feelings: engagement seems high, feedback has been positive, the team is excited. None of that is a measurement.
Build a model, not an impression
A measured adoption model defines specific usage events, ties them to named cohorts, and tracks them against a baseline over time.
Why averages hide the real picture
A healthy company-wide average can mask a small group of heavy users offsetting a large group who never engaged.
| Cohort | Weekly active use |
|---|---|
| Early adopter team | 78% |
| Rest of organisation | 22% |
Turning the model into action
Once cohorts with low adoption are visible, target support and communication at them specifically instead of repeating a generic rollout message to everyone.
Report adoption alongside outcome metrics, so leadership can see not just that a tool is used, but whether that use is producing the intended result.
Underlag
- Our assessment
Tracking adoption at cohort level typically surfaces uneven usage that aggregate figures hide
Common questions
- What is a reasonable adoption metric to start with?
- A simple, repeated-use metric such as weekly active use of the core workflow, tracked by cohort from week one.
- How often should adoption be reviewed?
- Monthly is a reasonable default for most rollouts, with weekly tracking during the first few weeks after launch.