Coaching Companion — AI Skills Platform

Overview

Coaching remains one of the most impactful professional development tools available, yet the path to becoming a skilled coach is largely unstructured. Traditional training methods rely on infrequent workshops and peer observation, leaving practitioners without personalized feedback or opportunities to rehearse real-world scenarios at their own pace. I saw an opportunity to change that.

Coaching Companion is an AI-powered platform I designed to help aspiring and practicing coaches build core skills through interactive scenario practice and real-time, personalized feedback. The premise is simple — if musicians drill scales and athletes run reps, coaches should have an equally rigorous way to sharpen their instincts. Coaching Companion provides that practice environment, making skill-building continuous rather than episodic.

My Contribution

Platform strategy and vision — I conceptualized the end-to-end coaching skills platform, defining how AI-generated feedback, scenario personalization, and gamified practice loops would work together to create a compelling learning experience. The strategic bet was that coaches would engage more deeply if the tool felt less like a course and more like a practice partner.

Scenario design and feedback architecture — I designed a library of scenario simulations covering career transitions, imposter syndrome, and work-life balance — the messy, nuanced conversations coaches actually face. Each scenario feeds into a feedback engine I spec’d out that analyzes tone, scores question quality, and surfaces empathy cues in real time. The goal was to give coaches the kind of granular, immediate insight they would never get from a textbook.

Personalization and progression — I designed a personalization engine that adapts scenario difficulty and focus areas based on each user’s performance patterns. To sustain engagement, I layered in XP points, session streaks, and progress dashboards — borrowing from game design to make deliberate practice feel rewarding rather than tedious.

MVP prototyping — I built and tested early modules to validate the core learning loop, confirming that users found the AI feedback actionable and the scenario practice genuinely useful. The modular framework I established is designed to power future growth initiatives, including a related project called Ascendvent.