A collection of 110 insights from 60 product leaders about building products with large language models, which are AI systems that work with text and other content. It covers prompt engineering, or writing instructions that guide these models, and AI application development.
A collection of 27 insights from 22 product leaders about evaluating new technology. It covers deciding whether to build a solution yourself or buy one from another provider.
A collection of 28 insights from 24 product leaders about platform strategy. A platform is a product or system that supports other products, users, or businesses and often grows an ecosystem around it.
A collection of two insights from two product leaders about building and using evaluations for AI systems. An AI evaluation is a structured way to measure how well a model performs.
A collection of 64 insights from 46 product leaders about measuring and validating product-market fit. Product-market fit means that a product meets a strong and sustained customer need.
A collection of 84 product-growth observations from 54 product leaders, focused on the idea of a growth flywheel: a set of activities that repeatedly help a product grow.
A collection of 47 insights from 29 product leaders about improving user retention and engagement. Retention is whether users keep coming back; engagement is how actively they use a product.
A collection of 23 insights from 19 product leaders about finding mentors and workplace sponsors. A mentor gives advice; a sponsor actively supports your opportunities.
A single insight from a product leader about recognising and managing imposter syndrome—the feeling that your success is undeserved despite evidence of your ability.
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