Interactive metrics workshop teaching North Star metrics, input metrics, and counter-metrics through a scored, Socratic exercise with a fictional B2C app scenario.
Review AI-generated code from a PM perspective: spec compliance, security red flags, data model soundness, UX issues in frontend code, and error handling against product…
Capstone project for the PM Foundations Course: act as PM for a product from discovery through launch decision, applying every framework learned across all prior modules in a…
PM Foundations Course coordinator: enroll in the structured 11-module PM learning curriculum, track your progress through units, and get personalized guidance on your next step in…
Interactive guide for PMs getting started with vibe coding: choosing and installing the right AI coding tools, writing your first spec, planning a build, and shipping a prototype.
Research user expectations, mental models, trust calibration, and interaction patterns for AI-powered features.
Interactive prioritization framework module where learners apply RICE, ICE, and Opportunity Score to a realistic product backlog and learn when each framework is most useful.
Evaluate and compare LLMs, ML APIs, and fine-tuned models for product fit across quality, latency, cost, compliance, and vendor risk dimensions.
Help PMs make technical architecture decisions without deep engineering background — database selection, hosting, auth patterns, monolith vs microservice, API design.
Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights.
Guide PMs through debugging AI-generated code: how to read error messages, form effective debugging prompts, isolate issues, and decide when to fix forward vs start over.
Define a data strategy for AI products covering training data requirements, data quality, labeling strategy, feedback loops, and continuous retraining.
Write a natural-language specification optimized for feeding to AI coding assistants. Covers problem statement, user flows, data model, API contracts, UI descriptions, tech stack,…
Interactive Socratic learning module on AI product management: model evaluation, responsible AI, prompt engineering, AI metrics, and managing AI features in production.
Write a complete AI feature specification that defines desired model behaviour, input/output examples, confidence thresholds, fallback logic, and non-functional requirements.
Assess an AI feature or product for ethical risks, bias, safety issues, fairness gaps, and regulatory compliance.
Create a lightweight one-page solution pitch that summarizes the problem, proposed approach, alternatives considered, risks, success metrics, and effort estimate with a clear…
Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding how to…
Multi-stakeholder simulation where the AI plays conflicting executives and the learner practices roadmap alignment, negotiation, and coalition-building as a fintech PM.
Define and distinguish operational, vanity, and actionable metrics. Write complete metric specs with name, definition, data source, calculation formula, owner, and review cadence.
Simulated user interview practice module where the AI plays a realistic user persona and provides structured coaching feedback on interview technique, question quality, and…
Interactive learning module on product execution: writing PRDs, building outcome-focused roadmaps, setting OKRs, running sprint planning, and managing delivery without…
Evaluate AI capability sourcing options across build, buy, fine-tune, and partner archetypes using a structured decision matrix.
Validation group skill. Plans a runnable prototype that retires the top assumptions in a realistic environment.
Structure an evidence-based pivot, persevere, or stop decision using Eric Ries's Lean Startup pivot framework — evaluates current metrics against original hypotheses and scores…
Guided learning module on product strategy using Roger Martin's Playing to Win cascade, applied through a realistic B2B case study.
Interactive introductory module covering PM fundamentals: the PM role, core mindset, key frameworks overview, and the PM skill tree — designed for those new to product management.