The Challenge
Coaching workflows were fragmented, manual, and time-consuming.
- Notes, spreadsheets, and messaging apps created unnecessary planning friction.
- Session structures were inconsistent and hard to reuse or optimise.
- The product needed to centralize the workflow without adding more complexity.
The Goal
Validate if AI and structure can improve coaching efficiency.
- Validate that coaches need a faster way to plan structured sessions.
- Prove that a visual, board-based interface matches how coaches think.
- Show that AI can meaningfully assist with drills and session plans.
- Keep the MVP simple enough for daily use, flexible enough for different styles, and scalable for growth.
What We Did
From product strategy to interactive MVP design
- We led the full product design process from concept to execution.
Product Strategy & Experience Definition
- The core principle was clear: make session planning faster, structured, and repeatable.
- We mapped the entire coaching workflow to find friction points and opportunities for AI and UX improvements.
Information Architecture & User Flows
- The platform was organized around core actions: create, generate, build visually, review, and export.
- Each flow was designed to reduce cognitive load and mirror how coaches naturally think.
AI-Assisted Workflows
- AI acted as an assistant rather than a replacement.
- It generated session structures, suggested drills, and supported quick iteration through edit, regenerate, refine, and download workflows.
UI Design & Design System Foundations
- We built the interface around minimalism, clarity, strong hierarchy, and reusable modules.
- The overall feel was intentionally closer to a professional coaching workspace than a generic app.
MVP Development
- We translated the design into a functional MVP built around high-impact core features.
- That kept the product lightweight, fast to validate, and ready for future iterations.
The Results
Validated assumptions and improved coaching efficiency.
- Significant reduction in session planning time.
- Confirmed effectiveness of the board-based UX.
- AI proven valuable as a coaching assistant.
- Functional MVP ready for next-stage development.
- A strong foundation established for scaling.