Structured curriculum
Every exercise belongs to one of 7 Product skill areas, and 21 tracks take each area from beginner to advanced, so practice maps to real product responsibilities instead of isolated prompts.
Curriculum map
Seven skill areas and 21 tracks for product management practice
The Product Mastery curriculum covers seven skill areas of PM work (Strategy & Vision, Discovery & Research, Execution & Delivery, Analytics & Metrics, Leadership & Communication, Monetization & Value Extraction, AI Product Management), each with beginner, intermediate and advanced tracks, and 400+ published exercises in 14 formats.
Why this is more than an AI wrapper
Rubric-based scoring
Each answer is scored against criteria written for that exercise or conversation: what you got right, what you missed, and what a stronger answer would add.
Progress loop
A skill profile, spaced-repetition reviews, a development plan with OKRs, and a certificate create a repeatable path from attempt to improvement.
Evidence inside this product area
- Strategy & Vision: product strategy, roadmapping, vision setting and market analysis. Tracks: Strategy Foundations, Strategic Thinking, Strategy Mastery.
- Discovery & Research: user research, customer interviews, competitive analysis and opportunity assessment. Tracks: Research Basics, Research Methods, Research Mastery.
- Execution & Delivery: agile delivery, prioritization frameworks, stakeholder management and go-to-market. Tracks: Execution Basics, Delivery Excellence, Execution Mastery.
- Analytics & Metrics: KPIs, A/B testing, data-driven decisions and funnel analysis. Tracks: Metrics Foundations, Data-Driven PM, Analytics Mastery.
- Leadership & Communication: influencing without authority, presentations and cross-functional collaboration. Tracks: Communication Basics, Leadership Skills, Leadership Mastery.
- Monetization & Value Extraction: pricing strategy, revenue models and value capture. Tracks: Monetization Basics, Revenue Growth, Monetization Mastery.
- AI Product Management: model evaluation, prompt engineering and responsible AI. Tracks: AI PM Foundations, AI Product Strategy, AI Product Mastery.
Sample before and after
Typical shallow response
Watch more product strategy content.
Better PM response
Check the skill profile for Strategy & Vision, Discovery & Research and Analytics & Metrics gaps, then practice those areas in several formats: a framework exercise, a data analysis of the metric that matters, and a roadmap that sequences the bets.
What a learner should be able to demonstrate
- Use the curriculum as a map of PM responsibilities rather than a linear video course.
- Move across skill areas as the role changes.
- Connect each skill area to exercises in several formats and rubric feedback.