Discovery, prioritization, roadmapping, metrics, and working with engineering teams. The PM skills that turn good ideas into products people use — built from how product management works at companies that ship, not how it's described in business school.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on product management you can find — even without producing a single minute of custom video.
This course is built by engineers who ship product management systems for a living. It reflects how these tools actually behave in production — not how the documentation describes them.
Every day includes working code examples you can copy, run, and modify right now. The goal is understanding through doing, not passive reading.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on product management available.
Each day is designed to finish in about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No calendar commitment, no live classes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Customer interviews, JTBD framework, distinguishing real pain from noise, the five whys applied to product discovery, and how to synthesize interview insights into actionable opportunity areas.
RICE, ICE, and opportunity-solution trees. The difference between a roadmap and a feature list. Quarterly planning with outcome-based OKRs vs output-based milestones and why the framing matters.
PRDs vs one-pagers, user stories with real acceptance criteria, edge cases that matter, the difference between requirements and solutions, and how to get engineers excited about the problem rather than annoyed by the spec.
Defining the north star metric, leading vs lagging indicators, funnel analysis, cohort retention, A/B test design (minimum detectable effect, sample size), and the metrics anti-patterns that mislead product teams.
Communicating with engineering, design, sales, and executives simultaneously. Status updates that reduce interruptions, post-launch learnings, and the PM behaviors that earn trust from cross-functional teams.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
PM practitioners explain discovery, roadmapping, and shipping — the core PM loop from experienced product managers at tech companies.
Clayton Christensen's JTBD framework applied to product discovery — how to identify the real reasons customers hire (and fire) products.
How to define and instrument the metrics that matter — north star metrics, leading indicators, and the anti-patterns that lead teams to optimize the wrong things.
Statistical significance, minimum detectable effect, sample size calculation, and the most common A/B testing mistakes that produce misleading results.
The difference between output roadmaps and outcome roadmaps, how to write OKRs that teams care about, and quarterly planning in practice.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
Curated collection of PM frameworks, templates, and reading lists from experienced product managers.
Real-world OKR examples from tech companies, with commentary on what makes them effective and what common mistakes to avoid.
Open-source feature flagging tools (Unleash, Flagsmith) — the infrastructure that makes gradual rollouts and A/B testing in production practical.
Community-compiled PM interview questions and frameworks — useful for both preparing for PM roles and understanding how PM thinking is evaluated.
You've been closest to the product for years. This course gives you the vocabulary and frameworks to make that transition credibly.
Founders are PMs by default. This course gives you the discovery and prioritization tools to avoid building things nobody wants.
Design and marketing already share 80% of the PM skillset. This course closes the gap with the frameworks and tools that round out the product skill set.
The 2-day in-person Precision AI Academy bootcamp covers product management and AI product strategy in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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