People want to use their phones less, but limits feel like punishment
Unplanned scrolling takes up a large part of the day, and long sessions are linked to poorer sleep, higher anxiety and lower life satisfaction. Built-in tools show totals and block apps. Users feel judged, get frustrated and slip back into old habits.
Source: Allcott et al., 2022 (Stanford & NYU)
Seven papers, six behavior concepts
I reviewed research on self-control tools and found four ideas that shaped the product:
Unintentional use
Automatic, unplanned checking that lowers a person’s sense of control.
Boosting
Building people’s ability to pause and choose, instead of choosing for them.
Self-nudging
Letting users shape their own choice environment, so change feels like their decision.
Habit formation
Small, repeated actions with positive feedback that become stable habits over time.
Two people, one shared frustration
Fills every gap with short videos
She has tried screen-time dashboards, but they felt cold and strict. She needs warm support that explains her patterns.
Keeps refreshing work apps
Late-night scrolling hurts his sleep. He wants real insight into his habits and modes that fit an unpredictable schedule.
Pressure causes relapse. Understanding drives change.
The journey map showed where people give up: when tools rely on rules, blocking and negative feedback. That led to three design principles:
- Show time visually instead of setting hard limits. Users see how much of the day is left rather than a countdown to being blocked.
- Encourage instead of judging. A friendly character reflects the day’s progress.
- Let users start every action. Creating modes, restricting apps and asking the AI are always the user’s choice, so the app never feels controlling.
Three screens: awareness, insight, routine
Make progress visible
Day progress, encouraging feedback from the character, and one daily detox tip.
Turn data into insight
AI-grouped patterns such as peak hours, phone pickups, session length and weekly trends.
Build routines easily
Custom focus modes with AI suggestions that group apps and triggers.
What I learned
Understanding their own patterns changed behavior more than seeing raw screen-time totals. Light cues reduced resistance, but engagement dropped when an insight needed sustained effort. People need awareness that is clear and actionable before they can regulate themselves.
Next: test with real usage data to see how the depth of insight affects long-term engagement, and explore feedback that moves from encouragement to pattern-based coaching as habits settle.