Mood Hues
Your pocket-sized emotional companion
Role
Sole Product Designer
Timeline
4 weeks (iOS + Android, end-to-end)
Tools
Figma · Adobe CC
Project
CareerFoundry Native-app brief
Challenge
Capture emotions without oversimplifying feelings, and surface real-time support.
Target
Adults seeking self-reflection tools who feel existing mood trackers are one-note.
Solution
A cross-platform app that lets people log layered emotions, spot triggers, and receive real-time care alerts. All while keeping data private on-device.
86 % task-completion
6 of 7 testers logged a complex, multi-emotion entry without help
2× faster navigation
Average 1 min 10 s → 35 s after hierarchy tweaks
100 % “more human” sentiment
Every tester preferred Mood Hues’ gradients & guidance over current mood-tracker apps
n = 7 usability participants
The gap
Usability tests and a competitive audit showed that most emotion-tracking apps oversimplify feelings and hide helpful actions. None offered layered logging plus adaptive guidance, leaving users without the depth or next-step support they wanted.
Three pivotal moves
Gradient-coded Mood Cards
Convey depth at a glance; testers called the UI “instantly relatable.”
Care alerts
Triggers tailored nudges (reach out to a friend, call a hotline) when heavy emotions repeat, 100 % said this felt “thoughtful, not preachy.”
Layered Emotion Logging
Captures blended feelings in one flow, no extra taps; boosted task completion to 86 %.
Sprint
Focus
Outcome
1
Research & empathize – 3 app scans (competitive analysis)
Pain points mapped
2
Low/Mid-fi wireframes (iOS + Android)
Early tests flagged hierarchy issues
3
Hi-fi prototype & usability - 7 users
Completion ↑ to 86 %, nav time ↓ 2×
4
Polished visuals, privacy copy, cross-platform QA
Branding + gradients finalized
Learnings
Emotion ≠ one-word
Layered logging unlocked richer insights and higher engagement.
Hierarchy drives navigation
30 % of testers said the original text order was confusing → re-ordering cut nav time in half.
Next up
Integrate on-device AI chat, deepening self-reflection while keeping data private.
Ready to turn complex problems into simple, human-centered experiences?
© 2025 by IvanAtlas