AI Attribution: Measuring What AI Actually Did

As AI features become standard across products, teams face a critical measurement challenge: understanding how much AI actually contributed to user outcomes.

This talk introduces a practical framework for AI attribution — measuring not just whether users engaged with an AI feature, but the degree to which AI shaped the final result. We'll cover the full spectrum: from full acceptance, to partial edits, to abandoned attempts where users generated output but ultimately reverted to manual input. We'll explore AI attribution measurement approaches and a clearer understanding of how to assess AI feature impact.