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Start with the conversion analysis cluster if you need copyable funnel SQL, Excel workflows, decision checklists, or practical metric diagnosis examples.
Download a five-tab workbook for funnel evidence, period comparison, segment prioritization, tracking QA, and a clear recommendation.
Find funnel leaks with user-level SQL, Excel workbook structure, segment drop-offs, tracking checks, and experiment-ready recommendations.
Copy SQL patterns for user-level step flags, ordered funnels, step-by-step drop-off, daily trends, and segment analysis.
Build a reusable workbook for funnel summary, period comparison, segment tables, tracking QA, and stakeholder recommendations.
Analyze conversion by channel, device, country, cohort, and lifecycle stage to identify which users explain the movement.
Validate measurement, inspect funnel drop-off, prioritize segments, estimate upside, and choose fixes or A/B tests.
Diagnose falling repeat purchase metrics with numerator and denominator checks, cohort SQL, segment analysis, and a practical checklist.
Analyze control and treatment groups, check traffic splits, define guardrails, and write a launch recommendation.
Plan experiments with clear hypotheses, randomization units, guardrails, traffic split checks, and launch decision rules.
Summarize control versus treatment results, segment findings, guardrails, caveats, and rollout recommendations.
Turn vague stakeholder questions into metric definitions, driver trees, SQL checks, hypotheses, and next actions.
Map customers, value chains, business models, competitor segments, benchmark tables, and strategic implications.
Practice realistic interview cases with SQL questions, metric definitions, business diagnosis structures, and portfolio stories.
Build practical foundations in Excel, SQL, metrics, funnel analysis, portfolio projects, and interview cases.
Package a business question, SQL workflow, metric definitions, dashboard visuals, findings, and recommendations.