Assessment

Validation is a founder's full-time job, but most people run the wrong experiments at the wrong time. They build products before validating markets, collect opinions instead of testing behavior, and assume their context translates to others. This creates a fog of uncertainty where they can't isolate what's failing. The solution isn't more experiments—it's better thinking about which assumptions to test, in what order, and what constitutes real evidence versus wishful thinking

Andreessen Horowitz analyzed spending from 200,000+ startups to identify where real money flows in AI applications. The patterns reveal that while AI hasn't changed fundamental business design principles, it has compressed PLG cycles, horizontalized specialized skills, and shifted how companies design for market entry. Here's what the data shows about building business models in the AI era.

AI business design isn't about revolutionary transformation—it's about dramatically expanding what's possible within proven business design methodologies. This expert analysis reveals how entrepreneurs and innovation executives can leverage AI for faster validation, smarter process optimization, and strategic competitive advantages while avoiding common pitfalls and over-hyped promises.

This is a list of resources where there is good wisdom about business model thinking.

The Business Model Canvas is a great tool, but do you really need it? Discover a faster, question-driven approach to business modeling.

Assess your business model with 6 key mechanics tied to the Business Model Canvas.

Simplify your Business Model Canvas by focusing on behavioral segmentation and consolidating unnecessary customer segments for clarity.