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[ Case · 04 / 07 ]·Mobile · Fitness·2025

Gym App

A mobile fitness companion that turns workouts into a satisfying daily ritual.

UXUIPrototypingFigma

[ N° 02 // Visuals ]

Inside the work.

FRAME · 0104
Gym App — cover
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Gym App — screen 1
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Gym App — screen 2
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Gym App — screen 3

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[ N° 03 // The Story ]

From brief
to outcome.

Overview

From training plans and exercise libraries to progress tracking and gamified streaks — a complete UX explored across onboarding, sessions and stats.

Problem

Most fitness apps are designed for the couch, not the gym floor — tiny tap targets, six taps to start a set, and timers buried under modals. Users reported abandoning workouts mid-session because logging was slower than the rest period itself.

Challenge

Designing for one-handed use mid-workout: large hit areas, glanceable cards, and a timer system that never gets in the way.

Outcome

A polished iOS/Android-ready prototype with detailed specs and a component kit.

[ N° 04 // Process ]

Problem
to pixel.

Every project moves through the same spine — research, wireframes, mockups, ship — but the weight on each step changes with the brief.

  1. 01 · Research01 / 04

    Field study

    Shadowed 6 gym-goers through full sessions, timing every interaction. Average log-a-set time on competing apps: 9 seconds. Target for this project: under 3. Identified one-handed use, sweat on screen, and gloves as core constraints.

  2. 02 · Wireframe02 / 04

    Thumb-zone first

    Mapped the bottom 60% of the screen as the safe zone for primary actions. Wireframed the active-workout view with oversized increment buttons, a persistent timer ring, and a swipe-to-complete gesture for sets.

  3. 03 · Mockup03 / 04

    High-fidelity UI

    Designed the full system: onboarding, home, workout builder, active session, progress, community and chat. High-contrast type, generous spacing, and a lime accent reserved exclusively for next-action affordances.

  4. 04 · Prototype04 / 04

    Usability testing

    Tested the interactive prototype with 4 users mid-workout. Average log-a-set time landed at 2.4 seconds. Iterated the rest-timer placement twice based on glance behavior caught on camera.