Product Operations: measuring what AI really delivers
For growth PMs making the adoption and value of AI features measurable – with metrics beyond MAU and churn and a PLG mechanic that survives inference costs.
Usage is not value: AI features need their own measurement systems, onboarding built for sceptics, and upgrade triggers tied to experienced value. This pillar turns “feels good” into a number.
The deep dives in this pillar
Each cluster answers one search intent – with a focus keyword and a clear content promise. Published, or transparently in progress.
KPIs for AI products: prompt success beats MAU
Four measurement layers from acceptance rate to unit economics – and feedback loops that don't lie.
Read post Focus: Customer journey mapping AICustomer journey mapping for AI: onboarding that builds trust
The four moments of the AI journey – expectation, first win, first error, habit – designed for sceptical DACH users.
Read post Focus: Product-led growth (PLG) AI SaaSProduct-led growth for AI SaaS: adoption that carries itself
Time to value, workflow visibility and dosed quotas – PLG mechanics that survive token costs.
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