The science problem
Which biomechanical indicators (cadence, ground contact time, vertical oscillation, strike pattern) are meaningful for non-professional runners? How do you weight them relative to a runner's level and goals? This is where my medical background was the product contribution.
The UX problem
How do I present AI-generated gait analysis to someone who doesn't know what pronation means?
How do I make adaptive plan changes feel logical, not arbitrary?
How do I design for runners mid-run vs. post-run vs. planning mode?
The Main Challenge :
Presenting movement insights in a way that informs users without creating fear or making the experience feel like a medical report.
Onboarding & goal setting :
The onboarding flow is designed to gradually collect information without overwhelming the user. Rather than presenting a long form upfront, the process progressively asks for relevant details based on previous answers.
Users provide:
Running level (Beginner / Intermediate / Advanced)
Current fitness level Injury history
Running goal (5K, 10K, Half Marathon, Marathon, General Fitness)
Target event and date
This progressive approach reduces friction while creating a more personalized experience from the first interaction.
AI plan generation :
The training plan generation process is designed to feel fast and effortless, with the goal of creating a complete personalized plan in under two minutes.
Users provide:
Target event
Event date
Preferred training load
Weekly availability
Since AI processing may require a few moments, an animated loading experience with running tips, motivational insights, and micro-interactions keeps users engaged rather than waiting on a static screen.
Once completed, users receive a detailed day-by-day adaptive training plan tailored to their goals and current level.
Live Run & Biomechanics Analysis
During the running session, users position their phone according to in-app instructions and begin the analysis session.
To reduce distractions and capture natural movement patterns:
User start recording the session with a 3sec countdown
A short 15-second countdown prepares the user
The runner continues naturally without needing further interaction
The purpose is to minimize interruptions and avoid users unconsciously changing their running form during the analysis.
Post-Run Analysis
After completing the run, the app transforms captured movement data into simple, actionable insights.
Users receive:
Running form analysis
Foot pressure distribution
Gait and movement feedback
Improvement suggestions
Users can:
Save the session
Review detailed insights
Restart the analysis
Track long-term progress
Session Completion & Progress Tracking :
To maintain motivation and make progress feel visible, each completed session contributes to a broader performance and movement tracking system.
Users receive:
Biomechanics consistency tracking
Movement trend analysis
Session completion history
Progress milestones
The scoring system transforms complex biomechanics data into a simple and understandable experience, allowing runners to quickly identify improvements and areas requiring attention.
Historical tracking enables users to compare previous sessions and answer questions such as:
Is my running form improving?
Am I becoming more consistent?
Has my left/right balance improved over time?
Am I progressing toward my event goal?
The objective is to create a sense of continuous progression while reinforcing habit formation and long-term engagement.
Transforming Running Data into Personalized Action
The final MVP was designed to move beyond traditional run tracking by combining intelligent training guidance with biomechanics insights.
Instead of only measuring metrics such as pace, distance, and calories, the experience focuses on helping runners understand:
how they move
how their form evolves over time
where improvement opportunities exist
how to train more efficiently toward a specific goal
The product combines:
✓ AI-generated training plans tailored to user level and target events
✓ Biomechanics and gait analysis
✓ Personalized movement insights
✓ Long-term progress tracking
✓ Adaptive recommendations based on user behavior
Product Vision
The long-term vision is to make personalized running guidance more accessible through intelligent systems that continuously learn and adapt to individual movement patterns and progress.
The objective is to provide runners with a smarter and more personalized experience that evolves alongside their goals, performance, and training journey.
Expected User Impact
The intended experience allows runners to:
Train with greater confidence
Improve movement efficiency
Better understand their running patterns
Reduce long-term physical stress through improved habits
Prepare for events using structured AI-generated plans
