Enter recent feature signals
Usage trend, active user share, support complaints, and maintenance cost are each scored for decay risk.
FEATURE USAGE TREND
Enter a feature's recent usage trend to get a calculated decay score with a recommendation to improve, reposition, simplify, or retire it.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Usage trend, active user share, support complaints, and maintenance cost are each scored for decay risk.
Signals are summed and discounted for very new features, since early low usage is expected and not true decay.
The verdict tells you whether to retire, simplify, reposition, or leave the feature as-is based on the score.
Continue learning: Feature prioritization for SaaS MVP retention · Improving retention without adding features
A feature launched less than 3 months ago typically has naturally low adoption while users discover it, so the score applies a maturity discount to avoid flagging genuinely new features as decaying.
No. It's a fast, rule-based check using signals you already know. A dedicated product analytics platform will track feature-level usage decline automatically and continuously.
Not necessarily. A high score means the feature is a strong candidate for review — repositioning or simplifying it may recover value before you consider retirement.
| Feature | MVPHub | Amplitude | Pendo |
|---|---|---|---|
| Quick single-feature decay check | Included | Limited | Limited |
| Transparent, editable scoring logic | Included | Not included | Not included |
| Continuous automated usage tracking | Not included | Included | Included |
| Cross-feature usage funnel analysis | Not included | Included | Included |
Amplitude and Pendo continuously track feature-level usage and decline across your full product once integrated. MVPHub gives a fast, manual decay estimate for one feature using signals you already know.
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