Analytics Method Library

A portable catalog of repeatable analysis recipes and experiment patterns to answer business learning questions reliably.

Method Recipe

Cohort Analysis Recipe — Repeatable Steps, SQL Patterns, and Actionable Next Steps

A practical, repeatable recipe analysts can use to run cohort analyses that reveal retention and behavior trends, avoid common pitfalls, and convert findings into experiments and decisions. Includes cohort definitions, measurement choices, sample SQL patterns, visualization guidance, segmentation advice, and a short checklist.

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Guide

Dashboards, Reports & Storytelling Template

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.

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Reference

Analytics Methods Cheat Sheet — Decision-focused Recipes

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.

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Recipe

Analytics Method Cookbook: Cohort Analysis Recipe

A practical, repeatable cohort-analysis recipe: frame the learning question, choose cohort definitions, extract and sanity-check data, compute retention/engagement curves and effect sizes, visualize results, avoid common pitfalls, and turn findings into experiments and decisions.

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Analytics Method Library: Common Recipes

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.

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