GuideIntermediate

Product Strategy For Engineers

Moves an engineer from the tactical question ("what feature do I build?") to the strategic one ("what game are we playing, and how do we win?"). It covers vision and mission (where the product is going and why, and how a clear vision constrains what gets built), target segment and positioning (who this is for, and who it's explicitly not for), differentiation and value proposition (what separates a product from mere parity — the "table stakes" of copyable features), competitive and market analysis (direct competitors, indirect competitors, substitutes, and where the playing field is heading), moats and defensibility (durable advantages — network effects, switching costs, data, scale — versus a feature that gets copied in a weekend), and how strategy flows down to the roadmap as a filter that runs before RICE, cutting high-scoring bets that don't serve the strategy. It builds on the Product Thinking guide — strategy picks the game; product thinking plays it — and uses the same running case, Mercado, to define its full strategy and apply it as a filter over its real backlog. All the evaluation logic runs as executed Node.js code. It closes with a capstone project that defines Mercado's strategy end to end.

64
lessons
8
modules
English · Spanish
available in
Yes
certificate
Free
access
NIEVA

Outcomes

What you'll be able to do

  • Distinguish "doing things right" (tactics) from "doing the right things" (strategy), and see the cost of executing the wrong strategy flawlessly
  • Define a product vision and mission that constrain what gets built — a good vision says both yes and no
  • Choose a target segment and a positioning statement: who this is for (and who it's explicitly not for)
  • Evaluate positioning fit against alternatives with `positionFit`, and see why being "better" on the wrong dimension is a bad fit
  • Map differentiation against competitors with `differentiationMap`, separating real advantage from mere parity ("table stakes")
  • Analyze the competitive landscape and where the market is heading, including indirect competitors and substitutes
  • Score the durability of a moat (network effects, switching costs, data, scale, brand) with `moatScore` — and see why a feature is not a moat
  • Apply a strategic filter (`strategicFilter`) to a backlog before RICE runs, so high-scoring bets that don't serve the strategy get deprioritized
  • Define Mercado's complete strategy one-pager and apply it as a filter over its real backlog in the capstone project

Before you start

What you need to bring

It's for you if...

  • Engineers who completed the Product Thinking guide and want to understand what decides the framework they prioritize within
  • Devs who've watched a team execute a flawless quarter and still miss — because the destination was wrong, not the execution
  • Engineers moving toward staff or tech lead roles, where build-vs-buy and architecture decisions need to be argued strategically
  • Anyone who wants a rigorous, not slogan-based, way to evaluate a product's positioning, differentiation, and moats

Requirements and materials

  • Product Thinking for Engineers Guide completed (or equivalent: RICE, prioritization, a bet's backlog)
  • Comfort running simple Node.js scripts (no dependencies)
  • No prior business background or MBA required

Content

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