Implementation worksheet · 2 min read
A daily streak timezone and recovery specification
A daily streak needs an explicit qualifying action, day boundary, timezone policy and recovery rule. Count a qualifying action once for the relevant day, handle delayed events deliberately and explain resets to the user. Test travel, daylight-saving changes and repeated events before attaching rewards to the streak.
A streak should represent a meaningful product behavior, such as completing a learning session, rather than an accidental background request. The examples here use synthetic timestamps. They specify product decisions, not a universal rule that every application should adopt.
Put it into practice
1. Define the qualifying action
Name the stored event that earns a day. Decide whether partially completed work qualifies and whether the action can later be invalidated. Keep login activity separate when the intended behavior is deeper engagement.
2. Choose a day boundary
Select a fixed product timezone or a documented user-local policy. Decide what happens when the user's timezone changes. A rolling 24-hour interval and a calendar day produce different behavior; label them accurately.
3. Handle delayed and duplicate events
Store event time and receipt time. Define a bounded policy for late offline events and reject impossible or untrusted timestamps as appropriate. Repeated delivery of the same action should not award multiple days.
4. Specify reset and recovery
Document missed-day behavior, freezes and manual corrections. Show users why a streak changed. If rewards are involved, preserve an audit trail and keep correction privileges separate from ordinary user actions.
5. Test boundary cases
Create fixtures immediately before and after midnight, around daylight-saving transitions and during travel. Repeat the same event and simulate a delayed sync. Verify both the displayed streak and the stored reward state.
Streak boundary tests
Copy this structure into your review document and record your observed result for each row.
| Case | Decision to specify | Evidence |
|---|---|---|
| Two actions in one day | One qualifying day | Deduplicated state |
| Midnight boundary | Chosen timezone rule | Timestamp fixtures |
| Delayed offline event | Late-event window | Event and receipt time |
| Timezone change | Travel policy | Before/after state |
| Manual correction | Authorized recovery | Audit record |
A failure worth checking
Using the server's current timezone without documenting it can reset a user's streak while their local day is still in progress. The right fix is a clear product rule and consistent implementation, not an unexplained adjustment to the counter.
Common questions
Should every app use the user's timezone?
Not necessarily. Use the policy that fits the experience, communicate it and test its edge cases.
Can a streak prove improved retention?
No. A streak is a product mechanism. Measure meaningful repeated use and an appropriate retention comparison before claiming an effect.
Basis and scope
This is a proposed implementation method using illustrative examples, not a measured benchmark or a customer case study. Prepared with AI assistance. Validate product-specific behavior against current documentation and your own test environment.