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Adoption Dashboard Template for Product Growth
Build feature adoption dashboards that track usage depth, time-to-adopt, and segment behavior. Includes metric definitions, visualization specs, and a...
Updated 2026-03-05
Adoption Dashboard
| # | Metric | Target | Current | Progress % | Owner | Status | |
|---|---|---|---|---|---|---|---|
| 1 | 140 | ||||||
| 2 | 98 | ||||||
| 3 | 84 | ||||||
| 4 | 75 | ||||||
| 5 | 75 |
#1
140
#2
98
#3
84
#4
75
#5
75
Edit the values above to try it with your own data. Your changes are saved locally.
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Frequently Asked Questions
What adoption rate should I target for a new feature?+
It depends on the feature's scope. A feature built for all users should target 30-50% adoption within 90 days. A feature built for a specific segment (e.g., admins, team leads) should target 40-60% of that segment. Niche power-user features may top out at 15-25% and that is fine. The [Product Analytics Handbook](/analytics-guide) covers benchmarks by feature type.
How do I distinguish low adoption from a bad feature versus bad discovery?+
Check where users drop off. If discovery rate is low (under 30%), users do not know the feature exists. That is a distribution and onboarding problem, not a feature problem. If discovery is high but trial is low, users see it but do not understand its value. If trial is high but adoption is low, the feature itself needs work.
Should I build a dashboard for every feature?+
No. Build adoption dashboards for features that are strategically important: features tied to retention, expansion, or a key value proposition. Small improvements and bug fixes do not need dedicated dashboards. A good rule: if the feature has its own OKR or appeared in a board presentation, it needs an adoption dashboard.
How long should I track adoption after launch?+
Track actively for 90 days. After 90 days, most organic adoption has occurred. Transition the dashboard to a monitoring view and check it monthly. If adoption is still growing at 90 days, extend active tracking. If it plateaued at 60 days, shift focus to activation interventions. ---
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