Business metrics & growth diagnosis
Break changes in conversion, retention, revenue, or cost into contributing factors and testable business questions.
Inputs
Metric definitions, events or aggregates, historical baseline, and grouping dimensions.
Deliverables
Metric specifications, funnel or retention analysis, driver breakdown, and recommended actions.
Step-by-step workflow
Break the work into verifiable stages, then choose models and supporting tools.
- 01
Align metric definitions
Specify denominators, deduplication units, time windows, currencies, and late-arriving data.
- 02
Check whether the change is real
Check instrumentation, definitions, traffic composition, and delays before comparing with the baseline.
- 03
Identify major contributions
Run SQL or Python to segment by channel, region, user cohort, and product version.
- 04
Propose testable actions
Separate confirmed problems from hypotheses. Assign owners and observation metrics to recommendations.
Required model capabilities
Combine models for the actual stages. The directory includes candidates matching one or more of these capabilities.
View matching modelsSupporting tools
Selection & delivery checks
- Choose strong SQL, calculation, and structured explanation capabilities.
- Inspect totals and segments to avoid composition changes hiding real trends.
- Model-generated numbers are not actual database results.
An example request
Use SQL and Python to analyze conversion and revenue changes, segment channels and users, calculate contributions, and summarize growth hypotheses to test.Find models for this request