Product Strategy Fundamentals
Deciding what to build and why — the trade-offs behind a strategy that actually guides decisions.
Course overview
Most strategy documents describe ambitions, not decisions. This course teaches product strategy as the practice of making explicit trade-offs: what you will build, what you won't, and why. You will work through realistic scenarios with genuine constraints rather than open-ended brainstorming.
What you’ll learn
- Distinguish a real strategy from a list of goals
- Make and defend an explicit prioritization trade-off
- Sequence work against a genuine constraint, not an ideal timeline
- Communicate a strategy so a team can act on it
Curriculum
5 chapters · 14 lessons · 5h 15m
What a strategy is, and what it commonly gets confused for.
- Strategy versus a list of goals13m
- Why most strategy docs avoid the real trade-off16m
- The shape of a decision-ready strategy15m
Making the trade-off explicit.
- Naming what you will not build18m
- Weighing effort, impact, and risk honestly20m
- Case study: a roadmap under real constraint19m
Sequencing decisions under constraint.
- Exercise: sequence a constrained roadmap22m
- Handling stakeholder pressure on sequencing17m
Communicating strategy so it survives contact with a team.
- Writing a strategy a team can act on16m
- Revisiting strategy when reality shifts14m
- Common strategy failure patterns13m
Build a full strategy for a constrained scenario.
- Project brief: a resource-constrained product team8m
- Presenting and defending your strategy19m
Requirements
- No prior strategy experience required
- Basic familiarity with how a product team operates
Who this is for
- New product managers building strategic fundamentals
- Founders setting direction for an early product
- Designers and engineers who want to understand the 'why'
Related courses
Product Strategy in Practice
Running strategy through a full planning cycle — from ambiguous signal to a committed roadmap.
Data Thinking: Reasoning with Evidence
Asking better questions of evidence instead of reaching for the nearest available number.
Applied Data Thinking for Product Teams
Applying evidence-based reasoning to real product decisions, with a live cohort of practitioners.