A practical authority edition for understanding product management, making better decisions and building evidence you can explain in a portfolio or interview.
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Learn to connect the customer problem, business choice, technical constraint and evidence. Exercises ask for a decision; reference answers show the reasoning behind it.
Compare the affected users, consequence, alternatives and cheapest useful evidence. An attractive interface is a proposal; a decision needs a reason.
Build one inspectable decision record. Show what is observed, what remains assumed and what would change the recommendation.
A simplified teaching model. The complete book includes worked applications and their limitations.
The book, mobile edition and reader support the same curriculum. Your capability grows through completed work and critique.
Discovery, strategy, economics, delivery, data and AI product management in plain language.
Work through the task before comparing your reasoning with the reference answer. Keep better-supported alternatives.
Build an artefact, test it, describe its limits and make your contribution visible. Synthetic work stays clearly labelled.
Ten parts connect durable product principles with AI practice, current career skills and buildable portfolio studios.
Outcomes, four product risks, ethics, decision quality and the operating model.
Interviews, observation, Jobs to Be Done, segmentation and opportunity mapping.
Positioning, competition, business models, pricing and coherent roadmaps.
Prototypes, usability, requirements, story maps, technical fluency and reliability.
Metrics, experiments, retention, growth loops, go-to-market and unit economics.
RAG, agents, evaluation, human control, privacy, governance, cost and incidents.
Cross-functional decisions, product operations, service design and portfolio evidence.
Product sense, SQL reasoning, AI fluency, domain expertise and hiring signals.
Role targeting, case interviews, evidence mapping, applications and the first 90 days.
Build a campaign command centre, lead intake, support copilot, RAG assistant and more.
Use synthetic or permissioned data. Each studio joins discovery, strategy, experience, metrics, technology, evaluation and a portfolio narrative.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
A practical case to build, test, critique and present.
Choose an edition for the work you want to practise.
The complete PDF and EPUB together in one ZIP, plus access to the corresponding guided reader. PDF and EPUB downloads are included in the stated price.
No. It provides concepts, practice and a system for building evidence. Outcomes also depend on completed work, independent critique, experience, market fit and the decisions of employers or buyers.
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Teaching examples use fictionalised or synthetic situations and credited public sources. Confidential personal, employer and client details have been excluded. The author's name appears as publication credit.
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