Layers Product Strategy

A comprehensive framework for connecting user needs to business outcomes through opportunity solution trees and structured experimentation. Walks you through choosing measurable outcomes, mapping opportunities anchored to journey moments, generating multiple solution bets per opportunity, and designing cheap experiments to test risky assumptions. The disciplines are sharp: opportunities must pass a flip test to avoid being disguised features, every bet names its riskiest assumption, experiments take days not months. Includes a decision matrix for when to use Impact Mapping, Wardley, Kano, or other techniques instead of the default OST. Best when you need to make strategic choices explicit rather than let them stay implicit in a backlog.

skills.sh installs: 2K
GitHub stars: 314
last updated: Aug 21, 2026

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Install

$ npx -y skills add jamiemill/layers-skills --skill layers-product-strategy --agent claude-code

Installs into .claude/skills of the current project.

Files

/layers-product-strategy

Assumes /layers-intro has been loaded. This skill is a library of techniques, not a script — see "How to use these skills" there.

Strategy is the first layer of the solution space — where problem-space understanding converts into deliberate decisions about scope and direction. It is about choices: which user needs to serve, and which business outcomes to target.

The decisions this layer makes

The business outcome this work serves
Which user opportunities (needs, pains, desires) genuinely connect to that outcome
What solution bets we're placing on those opportunities
How to test the riskiest assumptions cheaply
Which bets to pursue first, and why

If the outcome and the bets are already clear, don't rebuild the tree for its own sake.