A portable catalog of repeatable analysis recipes and experiment patterns to answer business learning questions reliably.
Practical design patterns, a three-panel template, audience-specific narrative scripts, examples, and a publish checklist to turn dashboards into decision-focused learning tools that link metrics to hypotheses, ownership, experiments, and measurable next actions.
A concise, decision-oriented catalog of common analysis recipes (cohort, anomaly, causal, regression, funnel, time series, segmentation, diagnostic) with when-to-use guidance, required data, quick implementation checklists, validation steps, interpretation tips, and common pitfalls.
Practical, repeatable analysis recipes for common business learning questions — churn drivers, funnel leaks, feature impact, cohort lifetime comparisons, attribution diagnostics, and holdout/experiment patterns. Each recipe includes required inputs, a stepwise procedure, standard SQL pseudocode, validation checks, common confounders, and suggested visualizations to make results reproducible and comparable across teams.