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Deep dives into innovation methodology, framework analysis, and the Brain knowledge graph. Coming soon.
Problem Types
Why Most Teams Solve the Wrong Problem
The difference between undefined, ill-defined, well-defined, and wicked problems. Why classification comes before methodology.
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Destroying the Myth of Brainstorming
What 30 years of teaching innovation reveals about why brainstorming fails and what replaces it.
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Wicked Problems: When the Problem Fights Back
Rittel and Webber's 1973 insight is more relevant than ever. How MindrianOS handles problems that resist definition.
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Framework Deep Dives
Trending to the Absurd: Push Until It Breaks
The most counter-intuitive framework in the PWS toolkit. Take any trend, extrapolate it to absurdity, and find the innovation hiding in the extreme.
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The Beautiful Question That Changes Everything
Warren Berger meets PWS methodology. How Why/What If/How sequencing unlocks problems nobody else is asking about.
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Six Hats, One Problem: Perspective as Technology
Edward de Bono's framework reimagined for AI-powered venture thinking. How Larry runs a six-perspective analysis in minutes.
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Scenario Planning: Mapping Futures You Can't Predict
From Shell's 1973 oil crisis success to your venture. How 2x2 uncertainty matrices prepare you for what's coming.
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Case Studies
How Warby Parker Found a Problem Worth Solving
A PWS analysis of Warby Parker's innovation journey. Domain selection, JTBD analysis, and the reverse salient that nobody saw.
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Netflix: Three S-Curves in 20 Years
DVD-by-mail, streaming, originals. How timing analysis explains Netflix's impossible reinventions.
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LEGO: From Near-Bankruptcy to Platform Dominance
The tools-vs-platforms framework explains why LEGO's worst crisis became its greatest innovation.
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Inside the Brain
21,000 Nodes: What a Teaching Knowledge Graph Looks Like
How 30 years of classroom teaching became a knowledge graph with 65K relationships. The architecture of methodology intelligence.
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Why Framework Chaining Can't Be Prompt-Engineered
FEEDS_INTO relationships discovered through observation, not theory. Why the Brain's chaining rules are the real moat.
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Grading 100+ Real Projects: What the Data Shows
The calibration dataset behind MindrianOS grading. Grade distributions, common failure patterns, and what separates A-work from C-work.
Coming soon