Name repeat value
A returning experience starts with a useful outcome that genuinely changes or recurs after the first visit.
REPEAT-USE SCOPE
Returning-User Experience Scoper
Define the minimum returning-user experience from product cadence, repeat value, saved state, freshness, and re-entry friction, with a scope score.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Score the return loop
Cadence, saved state, freshness, trigger strength, and re-entry friction combine into a repeat-use score.
Scope the minimum return path
The result prioritises resumption, changed information, and the shortest path back to value.
Continue learning: What to do when MVP users do not return · Choose the right retention metric
Frequently asked questions
Does every MVP need daily engagement?
No. The correct cadence follows the real customer job. A monthly finance workflow can be valuable without daily use.
Are notifications required for retention?
No. A scheduled need or visible in-product state can be stronger. Notifications should support real value, not manufacture activity.
What counts as saved state?
Examples include unfinished work, preferences, history, previous results, or the last relevant workspace context.
Does this predict retention?
No. It checks whether the planned experience contains plausible repeat-value mechanics. Measure actual cohort retention after launch.
How We Compare
| Feature | MVPHub | Amplitude | Fullstory |
|---|---|---|---|
| Pre-build repeat-use scope score | Included | Not included | Not included |
| Saved-state and freshness check | Included | Limited | Limited |
| Re-entry friction calculation | Included | Included | Included |
| Immediate minimum-scope actions | Included | Not included | Not included |
Amplitude and Fullstory analyse behaviour after users interact with a product. MVPHub is a pre-build scoping check for the planned returning-user loop; it does not collect product analytics or session data.
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