Feature Adoption Review Template
Copy a feature adoption review with cohort definitions, usage counts, customer evidence, and next actions, including a worked weekly review example.
Product walkthrough
The walkthrough introduces the requests, votes, and comments your team can reference when investigating feature usage.
Watch the product walkthroughSee how to keep feedback available for review
Practical context for Feature Adoption Review Template
Copy this review structure into a document for each feature you want to evaluate after release. Fill the metric fields from product analytics and the evidence fields from interviews, support conversations, or feedback requests. The finished note should explain who used the feature, what remains uncertain, and what the team will do next.
Choose a review period that matches the task. A weekly reporting feature may justify a weekly review, while an annual configuration task needs a different window. Freeze the metric definition for comparisons and record any change in rollout access, tracking, or audience.
Copy the measurement block
Record the underlying counts alongside the rate so another person can reproduce the result. Decide whether the unit is users or accounts. For this template, the denominator is eligible active users, and the numerator includes only members of that population who completed the chosen event within the same window.
Add a data-quality note before drawing conclusions. Check internal account exclusions, event duplication, successful versus attempted actions, and whether all included users had comparable access. If the denominator is zero or the event is missing, mark the rate unavailable and assign a measurement fix.
- +Feature | Intended task | Review owner | Review dates and timezone.
- +Meaningful usage event | Eligible cohort definition | Active-user definition | Analytics report link.
- +Eligible active users | Distinct users completing the event | Adoption rate: completers / eligible active users × 100.
- +Repeat-usage definition and window | Comparable previous period | Rollout or tracking changes.
Copy the evidence and decision block
Separate observation, interpretation, and decision. A count shows behavior, a customer comment describes an experience, and a proposed cause is a hypothesis until you investigate it. This separation helps the team avoid treating one compelling quote as an explanation for the entire cohort.
For each proposed action, write the evidence it addresses and what a useful result would look like. If the evidence is thin, the action can be a focused interview or a tracking check. You do not need to prescribe a product change at every review.
- +Observed pattern | Affected role or segment | Supporting feedback references.
- +Working explanation | Alternative explanation | Missing evidence.
- +Decision: investigate, improve discovery, fix friction, revisit need, or continue observing.
- +Action owner | Expected observable outcome | Follow-up date | Decision at the next review.
Worked example: weekly report sharing
Fictional review: 200 eligible active administrators, 40 successful sharers, and 20% weekly adoption. Three support conversations describe uncertainty about recipient permissions. That is a lead to investigate, not proof that permissions explain the other 160 administrators' behavior.
Next action: observe sharing attempts with administrators who encountered the problem and ask non-users how they currently distribute reports. The owner will bring findings to the next weekly review. If a permissions improvement ships, compare the same metric definition and note changes in access or launch messaging before interpreting movement in the rate.
- +Observation: successful use is limited to 40 distinct administrators in this window.
- +Hypothesis: permission uncertainty may discourage some sharing attempts.
- +Decision: investigate the affected workflow before committing to a wider redesign.
Keep exploring this topic
These next reads help you move from the concept on this page to a framework, tool, template, or deeper comparison you can apply right away.
Questions teams usually ask
How often should we run an adoption review?
Match the review to the feature's expected task frequency and rollout pace. Review early enough to address blockers, but allow a full usage opportunity before judging an occasional workflow.
Can we use account-level adoption?
Yes. Define an eligible active account and the account-level usage condition. Count accounts in both numerator and denominator, and label the result so it cannot be confused with a user-level rate.
Where does Feedbackly fit in this template?
Use Feedbackly request and comment references as qualitative evidence. Obtain usage counts from your analytics system, then document the combined decision in the review note.
Bring customer context to the next adoption review
Organize product requests in Feedbackly and use the relevant board discussions to give your usage review concrete examples of customer needs and friction.