One row = one user · one cell = one day (from 2026.07.01)
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USER_018
USER_019
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USER_036
USER_049
USER_024
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USER_001
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USER_016
Active day First day Weekend-only user
💡 Aha moment found: create_playlist
Same users, aligned on the day they first did it — before vs after
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-7
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USER_017
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USER_041
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USER_014
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USER_022
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USER_007
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USER_048
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USER_006
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Did it (9 users)
89% became regulars
Didn't (51 users)
41% became regulars
Correlation, not proof — nudge new users to do this, then A/B test it.
At a glance
6 users — Used once, never returned (onboarding issue?)
4 users — Almost daily (core fans)
2 users — Occasional
Since the last report (2026-07-28)
Users
35 → 60▲ 25
Core fans
14% → 48%▲ 34%p
Churned after day one
26% → 32%▲ 6%p
Week-1 retention
53% → 61%▲ 8%p
Where do new users drop off?
Signed up
60 (100%)
Got first value
60 (100%)
Came back another day
41 (68%) -19
Active in last 2 weeks
40 (67%) -1
Median time from signup to first value: 0 day(s)
Weekly retention
% of users active in week N after their signup
So, what should we do?
💡 create_playlist — 9 users did it and 89% became regulars. Only 41% of those who didn't. → Nudge new users to do this right after signup, then verify it's causal.
⚠️ 19 of 60 users (32%) never came back after their first day. → Review the first-day (onboarding) experience.
* Auto-computed, for reference only. Verify causation with an experiment.