Revenue still grew, but the monthly lift fell from +$69M to +$48M.
The slowdown is a deceleration story, not a contraction story. The total reached $973M in March.
q002_revenue_growth_waterfallUse the sample datamart like an executive would: ask a revenue or engagement question, watch the analysis run, then review the memo, caveats, and source queries.
Answers are generated only when metric definitions, grain, and source SQL are reviewable.
The memo appears in stages as the run validates context, executes SQL, and records caveats.
SQL appendix will appear after read-only queries finish.
The first screen is the executive experience. This section shows the evidence, workflow, and guardrails behind it.
Each material claim is backed by executed SQL and dbt-documented context.
The slowdown is a deceleration story, not a contraction story. The total reached $973M in March.
q002_revenue_growth_waterfallThe commercial-intent surfaces compounded while brand video reduced the net March gain.
q001_surface_revenueThe context file does not document cohort joins for this mart, so the MVP keeps that caveat explicit.
datamart_context.jsonChart data is exported from the same query results used in the brief.
The agent narrows the question to documented metrics before producing the memo.
Package the governed-agent workflow as an internal operator tool: installable skills, local data execution, and board-ready output.