Workout prescription

The business problem

The workout prescription feature had become a bottleneck:

• Outdated interaction model
• Limited support for advanced training logic
• High cognitive load for trainers
• Critical gap: no structured data collection

This meant trainers were constrained, members received generic programs, and the business had zero insight into training behavior.

Workout prescription is the heart of a fitness platform. If trainers struggle:

• Adoption drops
• Quality becomes inconsistent
• Data-driven personalization is impossible

This wasn't just a UX issue. It was a scalability and data strategy problem.

Discovery & strategy

We started with a large-scale research initiative:

• 50+ gyms involved
• Qualitative interviews with trainers and managers
• Behavioral analysis of how trainers used the existing tool
• Identification of recurring mental models and workarounds trainers had created

These insights grounded the redesign in real-world usage rather than an idealized flow, surfacing the gap between how the system was built and how trainers actually think about programming workouts.

Design & execution

We redesigned the full user flow, focusing on:

• Clear structure for workout logic
• Better visibility of exercises, sets, and progressions
• Flexible building blocks for advanced workouts
• Reduced friction during daily use

At the same time, we embedded data collection by design, enabling:

• Structured workout metadata
• Future analytics
• Downstream value for gym members

The result was a system that balanced trainer flexibility with platform consistency, turning everyday usage into high-quality data exhaust.

Leadership & collaboration

As a design lead, I:

• Aligned design decisions with product and business stakeholders
• Balanced short-term delivery with the long-term platform vision
• Advocated for research-backed decisions
• Helped teams move from a "feature redesign" mindset to system thinking