AI feature retention and token cost are being judged from separate records.
Product managers need behavior they can act on while privacy reviewers limit the cost data that can enter analysis.
Who you’d be doing this for
“I can see people coming back, but finance keeps asking what each return actually costs us.”
Babak Haddad · Product Manager
Owns adoption and retention decisions for an enterprise AI feature and must defend which experiences should scale.
What is at stake
Product managers cannot connect repeat AI-feature use to the token budget behind it. You must weigh a reusable cost integration against privacy limits and uncertain identity mapping.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- retention insight vs. sensitive cost detail
- self-service analysis vs. identity certainty
- fast pilot evidence vs. reusable integration design
- product scaling decisions vs. token-spend control
Why Amplitude
Amplitude’s event-based analysis is the surface where product teams need to connect AI feature adoption with the cost of serving it.
Written with these in mind
Not your kind of problem? 18 more at Amplitude, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.