Case study · Wellbeing

A mood tracker that listens, learns and helps.

A mobile app where people log how they feel in a few seconds — and AI turns those check-ins into patterns, gentle insights and support over time.

Type
Mobile app
Platforms
iOS · Android
Focus
Mood & wellbeing
AI
Insights + journaling
to check in
Seconds
to check in
tap a mood, add a note
AI reflections
Daily
AI reflections
from your own entries
pattern insights
Weekly
pattern insights
sleep, activity, triggers
by design
Private
by design
your data stays yours
The problem

Most mood apps collect data, then do nothing with it.

People start tracking with good intentions, but a calendar full of emoji faces rarely explains anything. Without insight, the habit fades within weeks — exactly when it could start to help.

The approach

Make checking in effortless, and make it pay back.

We designed a check-in that takes seconds: pick a mood, add tags or a short note, or just speak. AI then reads entries over time to surface patterns, write a short reflection, and suggest small, practical next steps — always in a calm, non-clinical tone.

  1. Check-in
    mood · tags · note or voice
  2. Understanding
    AI reads entries for themes and sentiment
  3. Insights
    patterns across days, sleep and activity
  4. Support
    reflections, prompts and gentle nudges
The outcome

Tracking that turns into self-understanding.

Instead of a log, people get a picture: what lifts their mood, what drains it, and how the week is trending. The app feels like a thoughtful companion rather than another form to fill in — which is what keeps people coming back.