Mobile · Mobile App · Productivity
Resetlio — Mobile App Design
Native-feeling mobile experience focused on clarity and rhythm—guided onboarding, predictable navigation, and components tuned for daily-use ergonomics.
- Year
- 2025
- Timeline
- 4 Months
- Services
- Mobile UX/UI, Design Systems, Prototyping, User Flows

Overview
Resetlio is a productivity-minded mobile app designed to help people reset routines, track micro-goals, and stay accountable without noisy dashboards.
Zendeeps led UX/UI from IA through hi-fi—balancing expressive personality with calm surfaces so the app feels supportive on stressful days, not demanding.
Problem
Early concepts leaned too instructional—users skim onboarding and churn when screens feel like chores. Competing habit apps overloaded widgets and badges; Resetlio needed a quieter cognitive load model.
The founding team wanted differentiation around tone (warm vs clinical), clarity on permissions/notifications, and flows short enough for commutes.
Approach
Journey-first IA
Mapped primary jobs-to-be-done before pixels—morning check-in, streak reflection, weekly reset—and anchored navigation to those loops.
Progressive onboarding
Short bursts with immediate payoff; optional depth deferred until intent signals—reducing setup fatigue while preserving personalization.
Component rhythm
Repeatable cards, chips, and timers share spacing and tap targets—predictable motor patterns across Create / Track / Reflect modes.
Feedback without noise
Micro-affirmations and haptics used sparingly; empty states explain next steps instead of upselling secondary features.
Prototype-driven iteration
Interactive builds validated comprehension weekly—especially around reminders, streak logic copy, and undo paths.
Design system
Rounded geometry with confident type hierarchy; semantic greens for progress, slate neutrals for secondary chrome, and illustration accents kept modular for marketing parity.
Final designs
High-fidelity flows shipped as annotated handoff—states for offline, partial completion, and notification-driven returns mapped for engineering parity.
Outcomes
- −41%Time-to-first successful habit log (guided path)
- 4.8★Avg. subjective ease score (concept tests, n=22)
- +32%Task completion in onboarding funnel (prototype A/B)
- 26Core components documented for dev build