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By Use Case

Product Analytics

Trusted engagement and retention signals. Certified definitions for engagement, retention, and activation power cohort analysis without SQL, so funnel questions are answered without a new query request.

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Cohort AnalysisFunnel View
RETENTION COHORT SUMMARY
Product view · Powered by QuaerisAI Agentic Engine
Definition usedCertified, versioned
Cohort basisSignup month
SourceEvent and usage tables
Traceable toEvent-level records

Certified engagement and retention definitions, available on demand

Product analytics teams frequently field cohort, funnel, and retention questions that would otherwise require a new SQL query each time. QuaerisAI resolves these questions through certified definitions of engagement, retention, and activation, so the same cohort logic applies whether the question comes from a product manager or a growth analyst. The underlying event tracking data does not need to move or be re-modeled to support this; the agent queries it where it already lives.

Every answer traces back to the underlying event or usage table it was calculated from, so a product manager can trust a retention figure without re-deriving it from raw event data.

Funnel Detail
ACTIVATION FUNNEL TRACE
DefinitionCertified activation, v1.5
Source eventsProduct usage events
TraceabilityStep-by-step

Benefits

This agent framing helps product teams answer cohort and retention questions without a new query every time.

  • Time efficiency: Answer cohort and funnel questions directly instead of filing a new SQL request.
  • Consistent definitions: Engagement, retention, and activation are calculated the same way every time.
  • Traceable answers: Every figure traces back to the underlying event or usage table.
  • Governed access: Product data access respects existing role-based permissions.
  • Faster iteration: Product managers can explore cohort questions without waiting on a data team.
  • Consistent methodology: The same retention and activation logic applies across every cohort and product surface.

Problem addressed

Cohort and funnel analysis typically requires a new SQL query for each variation, whether that is a different signup month, a different activation event, or a different retention window. That repeated query-writing consumes analyst time on work that is conceptually the same question asked slightly differently.

Certified definitions of engagement, retention, and activation let product teams ask cohort and funnel questions directly, with the underlying logic already established and consistent.

What the agent does

  • Resolves cohort, funnel, and retention questions through certified definitions
  • Traces every figure back to the underlying event or usage table
  • Applies consistent activation and engagement logic across every cohort
  • Answers new cohort variations without a new SQL request
  • Enforces existing role-based access on product data

Why do this with AI

Cohort and funnel questions are conceptually repetitive even when the specific parameters change, which makes them a good fit for an agent grounded in certified definitions rather than a fresh query each time. The underlying logic stays constant; only the specific cohort or window changes.

Instead of waiting on a new query for each cohort variation, product teams can ask directly and iterate on the questions that actually matter.

Event Trace
EVENT-LEVEL SOURCE DETAIL
Source event tableProduct usage events
Definition versionCertified, current
TraceabilityStep-by-step

Who this agent is for

  • Answer cohort and funnel questions without a new SQL request each time
  • Trust that retention and engagement figures use a consistent definition
  • Trace every figure back to its underlying event data
  • Iterate on product questions without waiting on a data team
  • Apply the same activation logic across every product surface
Ideal for: product managers, growth analysts, and product analytics teams tracking engagement, retention, and activation.

How it works

The agent resolves each question through the same governed pipeline as every other QuaerisAI agent: identity and permissions are checked first, the question is mapped to certified definitions, a governed query runs against the source data, and the result is returned with a full audit record attached.

01Question asked
02Identity & permissions checked
03Certified definition applied
04Governed query runs
05Source-backed answer returned
06Audit record written
A deterministic governance pipeline wraps every step the agent takes, from question to answer.

Frequently asked questions

It describes how QuaerisAI resolves cohort, funnel, and retention questions through certified definitions of engagement, retention, and activation.