How would you redesign the notification system for a consumer app where users are opting out at high rates?
Model answer
Model answerHigh opt-out rates signal the notification system was built for the product's goals, not the user's. I'd start with data: segment opt-outs by notification type, time of day, and user tenure — someone opting out in week 1 has a different problem than someone opting out after 6 months. Then I'd calculate a value score for each notification type: open rate × action rate, penalized by opt-out rate. Negative-value types get cut immediately. The redesign has three layers: smarter defaults (fewer, better-timed), granular preference controls (by type and time, not just on/off), and personalization over time. Success metric: notification opt-in rate and 30-day retention for users who keep at least one type enabled versus those who disable all.
Framework · HEART Framework
- HHappiness
Opt-out rate per notification type — the clearest signal of where users feel disrespected - EEngagement
Open rate and action rate by type and time of day — identify which notifications users actually value - AAdoption
What % of users have customized preferences? Low customization means defaults are broken - RRetention
Do users with at least one notification enabled retain better at 30 days? If yes — notifications drive value. - TTask Success
Can users find and configure notification preferences in under 60 seconds? If not — the controls are too buried.
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