FitPlay
Personalized Training & Reward System
A fitness app that turns personalized training into measurable progress and real rewards.
Role
UX & Product Designer
Scope
End-to-end product concept. Mobile app.
Deliverables
IA, flows, UI system, UX writing, feature modules
Key differentiator
Workouts → points → redeemable rewards
The problem
Most fitness apps overwhelm users with workout catalogs.
Users don’t need more options — they need clarity on what to do today and a plan to stay consistent.
Fitness apps fail because they offer workouts, not plans.
Catalog → Decision fatigue → Drop-off
Product concept
FitPlay is a training system that:
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suggests what to do today
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builds an adaptable weekly/monthly plan
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rewards real effort with redeemable points
Designing for motivation, not just workouts
FitPlay was designed to support different motivations, routines, and physical realities not a single “average user”.
Instead of one generic persona, four primary user types were mapped, each representing a distinct way people approach fitness.
Why multiple personas matter
Because personalization isn’t just workouts, it’s motivation style + schedule + environment + fairness.
FitPlay adapts training plans, challenges, and rewards without fragmenting the experience, ensuring users feel supported, not excluded.
Design strategy
Reduce decision fatigue
Give users one best next action instead of browsing.
Plan without pressure
Planning exists, but it’s optional and editable.
Effort becomes value
Points are earned through measurable activity and redeemed for real rewards.
Information Architecture
Key Flows
Flow A
Onboarding → Personalization
Goal: collect only what’s needed to build trust + accuracy
Decision: progressive questions + optional fields
Output: a plan that feels personal on day 1
Flow B
Training Home → Planner → Workout completion
Goal: answer “what do I do now?” + “what’s next?”
Decision: Home is tactical, Planner is strategic
Outcome: user always leaves with a next step
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Flow C
Points → Shop redemption
Goal: turn consistency into tangible value
Decision: rewards are transparent, earned, not gimmicky
What makes FitPlay different
Personalized planner-first training (not “workout browsing”)
Reward economy tied to measurable effort
Fair community challenges matched by profile
Business impact logic
Planner → increases retention
Rewards → increases consistency + conversion
Partner shop →
creates ecosystem value
(sponsor brands + marketing + marketplace sales comission)
Design decisions
Small choices that shaped the entire experience.
The recommended workout is always first
Eliminates decision fatigue and helps users start immediately.
The training planner is fully editable but never breaks
Gives users control while preserving balance and long-term structure.
Injury and limitation inputs are optional but respected everywhere
Builds trust and ensures safety without blocking onboarding.
Community features are challenge-based, not social feeds
Encourages motivation and fairness without comparison anxiety.
This project demonstrates how personalization, planning, and rewards can coexist without overwhelming the user.
Outcome
