Strength Training with AI
AI-powered gym equipment providing real-time form feedback and instructional guidance for improved workouts.
Product Experience
Problem Space
Problem Statement
How might we help gym-goers confidently use cable machines by providing real-time feedback and guidance?
Problem Background
Many people avoid cable machines due to intimidation and lack of guidance. Even experienced users struggle with fine-tuning form. This leads to lower adoption, inefficient workouts, and injury risks.
Research Insights
User Pain Points
🔹 Lack of Clear Instructions – Users don’t know how to set up machines properly.
🔹 Form Uncertainty – Users are unsure if they are performing exercises correctly.
🔹 Consistency Issues – Without feedback or tracking, users find it hard to stay motivated.
Supporting Data
📊 Survey Findings:
- 35% would use cable machines more if setup guidance was clearer.
- 80% want real-time form feedback.
- 43% feel unsure about their technique while using cable machines.
🗣 Interview Insights:
- “I avoid cable machines because I don’t know how to adjust them properly.”
- “I’d love to know if my form is correct in real time.”
Landing on the Solution
🔹 Based on user pain points, we developed AI-powered machine setup guidance and real-time form feedback.
Explanation of the Solution
- Step-by-Step Instructions → Reduces intimidation by guiding users through setup and exercise execution.
- Real-Time Form Feedback → Uses motion tracking to detect incorrect movements and provide live corrections.
- Progress Tracking → Helps users monitor improvements over time.
User Flows / Mockups
Screens include:
✅ Exercise Selection Menu – Users choose from categorized workouts.
✅ Setup Guide – Step-by-step machine setup walkthroughs.
✅ Real-Time Feedback Panel – Motion tracking detects form errors and suggests corrections.
✅ Progress Dashboard – Shows form accuracy scores, improvement trends, and insights.
Future Steps
📌 Iterate based on pilot feedback – Optimize form detection algorithms for accuracy.
📌 Expand machine compatibility – Apply AI enhancements to additional gym equipment.
📌 Enhance user engagement – Explore gamification (e.g., challenges, streak tracking) to improve motivation.
Learnings
Product Manager Learnings:
Ojorumi Aneke
🚀 Key Takeaways as a PM:
- User Research is Key → Understanding gym-goer pain points shaped the solution.
- Prioritize Simplicity → Avoid feature overload; focus on clear guidance and usability.
- Validation is Crucial → User testing confirmed demand for real-time feedback.
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
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As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
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As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
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Developer Learnings:
Maurquise Williams
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- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
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All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
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I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.