An organizational function that combines quantitative work (product analytics) and qualitative work (user research) into a single shared team, rather than maintaining two separate large functions.
The practical driver is data volume: companies without enough usage/purchase data to justify a standalone analytics team, and without enough research demand to justify a standalone research team, get more leverage pooling both into one product ops team serving all product teams.
Product ops is the organizational vehicle for Data Immersion (Qualitative + Quantitative) and feeds Continuous Listening Across Teams and Discovery (Product Discovery Process).
Из тем: The Product Operating Model