The PM and AI
Replace the hype framing with the one that explains both the wins and the failures. Install the production-vs-judgment stance, the thinking-partner discipline, the working model of AI capability, and the verification habit that the rest of the course builds on. Ships eight working assets including the Production-and-Judgment Frame, the Working Model, the PM Task Map, and the Verification Calibration.
Understand why AI is a genuine multiplier for product management specifically, across the whole arc from discovery to delivery
Use AI as a genuine thinking partner for product work, not an answer machine — to sharpen your thinking rather than replace it
Build an accurate working model of what AI is actually good and bad at, so you know when to lean on it and when to be skeptical
Turn the working model into an operational habit: calibrate how much to verify by the stakes and the verifiability of each use
Discovery & Customer Understanding
Apply the judgment discipline to the hardest PM work: understanding what customers actually need. Synthesis, interview analysis, pattern-finding, and the verification habits that keep AI from substituting its model of your users for your own.
Use AI to synthesize large volumes of qualitative research into themes and patterns — the largest single time-saver in discovery
Use AI to get past what customers literally say to the need underneath — the job they are trying to do, the problem behind the request
Use AI to accelerate market and competitive analysis — the landscape, the competitors, the trends — while applying the verification discipline rigorously
Bridge from discovery understanding to product decisions — which insights to act on and what to build, the judgment AI cannot make
Strategy, Roadmap & Prioritization
Use AI to structure tradeoffs, generate options, and stress-test your thinking — while keeping the strategic judgment yours. The prioritization discipline, the roadmap narrative, and the decision frameworks that AI accelerates but cannot replace.
Use AI to develop and pressure-test product strategy — the vision, the bets, the concentrating choices about where to play and how to win
Use AI to structure prioritization rigorously — the options, the criteria, the tradeoffs — without letting the framework make the decision
Use AI to turn prioritized strategy into a sequenced roadmap, and to draft the roadmap as communication
Locate where AI's strategy and prioritization support ends and the call that is irreducibly the PM's begins
Specs, Requirements & Working with Eng and Design
Draft fluently, verify precisely. The briefing discipline for specs and requirements, the interface between PM judgment and engineering execution, and the review habits that keep AI-drafted specs honest.
Use AI to draft and sharpen the spec while supplying the judgment about what to build and why that the spec exists to capture
Use AI to make requirements precise, complete, and testable — surfacing the edge cases and ambiguities that break a build
Use AI to build the technical and design fluency that makes you a better partner to engineering and design — without overreaching into their expertise
Understand the PM's role during the build — unblocking, deciding, protecting scope, holding the why — and how AI changes it
Data, Metrics & Experimentation
AI assists with analysis and interpretation — but the product sense of what it means is yours. The data discipline, the experimentation framing, and the verification habits for quantitative PM work.
Use AI to generate and structure candidate metrics while keeping the judgment about what actually matters yours
Use AI as an analytical accelerant for product data while applying the verification discipline at its sharpest
Use AI to design sound experiments and read results correctly — the rigorous way to establish the causation analysis alone cannot
Bridge from data to decisions — integrating what the data shows with everything the data cannot capture, which is the PM's judgment
Communication, Stakeholders & the PM's Judgment
The communication discipline that keeps AI-assisted updates, narratives, and stakeholder messages honest and yours. The flagship module: assembling the full judgment practice into the PM's operating standard.
Use AI as drafting leverage across the constant communication that is core PM work, while keeping the judgment about what to say yours
Use AI to prepare for stakeholder alignment — understanding positions, anticipating objections, framing the case — without it replacing the relationship and the read
Use AI to craft the product narrative — the story that makes the strategy land and aligns the team around a direction
Bring together the throughline of the whole course: across every part of the role, AI carries the production and the PM supplies the judgment