Session filters and profile properties produce answers that look valid but count different people.
Fast session analysis protects product decisions, while consistent population rules protect trust in the result.
Who you’d be doing this for
“I can explain a drop-off, but I can’t defend a cohort that changes when I add one filter.”
Kenza Kaya · Product Manager
Uses session analysis to identify where new users abandon onboarding.
What is at stake
Session queries with profile properties return smaller cohorts than equivalent event queries. You need to restore correctness without slowing the analysis path people already rely on.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- fast containment vs complete analysis
- query flexibility vs predictable semantics
- live traffic stability vs corrective change
Why Amplitude
Nova-backed session analysis is where product managers expect behavioral questions to resolve into trustworthy answers.
Written with these in mind
Not your kind of problem? 13 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.