Product analytics
Explain where a defined product journey loses people or accounts, what the
retention evidence shows, and which measurement or product change to consider.
This skill covers activation and product usage. organic-growth owns search and
acquisition strategy; it may consume the relevant findings.
analyze accepts supplied governed aggregate counts. Retrieve a saved insight
through a selected PostHog connector, or use another provider, before invoking
this skill. Preserve the actual report and its source digest; do not invent counts
to fit the input. This runner does not query a provider, execute SQL, capture
events, change instrumentation or create tasks.
Measurement admission
Each report carries the definition its own source was computed under: product, timezone, person/account identity, cohort, filters, funnel rule and retention rule. Read it from that report's saved query; never copy one report's definition onto another. Funnel counts must count the same eligible entities through ordered steps, not independent event totals. Retention needs an explicit eligible cohort and return period. Mark incomplete provider results incomplete. Retain observation time; a cached PostHog result is not fresh merely because its HTTP read happened today.
The pure calculation step preserves counts and computes rates. Zero eligible
entities produce null, not a measured 0% conversion or retention rate. Ordered
counts cannot increase and retained entities cannot exceed the eligible cohort.
Compare a baseline only when its definition equals the current definition field
for field, with the same ordered events and retention period over an
equal-duration, nonoverlapping window. Rate changes are percentage points, never
mislabeled relative percentage lift. Missing denominators, incompatible
definitions or incomplete reports withhold recommendations and expose the
measurement gap.
Interpretation
Use the deterministic rates; do not replace or round them into different facts. Distinguish observations, hypotheses and actions. Concentrate on the consequential drop-off, plausible instrumentation problems and a small next experiment. A change between periods does not establish causality or statistical significance. Counts alone cannot establish sample comparability, seasonality or experiment validity. Do not average cohort percentages or claim significance without the actual method and experiment evidence. State those limits when relevant.
Each material finding and proposed action must cite admitted source digests. Recommend a concrete measurement, owner role and stop/reconsider condition; do not invent a named owner, deadline, revenue impact or work already completed. Native evidence verification binds the resulting review to the exact measurement context. The calling application owns continuing work, scheduling and approved changes.
Agent task contract
product-analytics-analyze
Return analytics_candidate with decision: ready, the exact objective, a
concise summary, findings and limitations. Each finding has claim, kind
(observed, hypothesis or action) and source_digests. An action also has
measurement, owner_role and stop_condition. Every finding and action is
verified through the same native claim binding. Cite only admitted digests. Explain zero
denominators and uncertainty plainly. Return needs_more_evidence when the
bounded evidence cannot support useful recommendations. Never claim execution.
