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MODULE 3

Metrics, KPI Trees, and Analytical Foundations

Learn to read numbers as systems, with KPI trees, unit economics, correct baselines, and causal signal interpretation.

Editorial cover of the module Metrics, KPI Trees, and Analytical Foundations
The Key to a Successful Start - official lesson image on GinnyTech, created by AD
1
Base 18 min

North Star Metric, KPI tree, and target metric

How to choose a target metric, build a KPI tree, and use the North Star Metric without turning it into an empty slogan.

Prerequisites: 1

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Applied Statistics Fundamentals - official lesson image on GinnyTech, created by AD
2
Base 18 min

Guardrail metrics, counter-metrics, and failure metrics

How to use guardrails, counter-metrics, and failure metrics to prevent an objective metric from being optimized at the expense of the system.

Prerequisites: 1

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Idea Generation: From Data to Opportunity - official lesson image on GinnyTech, created by AD
4
Base 18 min

Cohort logic, segmentation, and correct baseline

How to use cohorts, segments, and baselines to compare phenomena over time without confusing user mix, seasonality, and real changes.

Prerequisites: 1

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Desk Research: Secondary Data and Reliable Sources - official lesson image on GinnyTech, created by AD
6
Base 18 min

Signal, noise, normal variation, and false alarms

How to distinguish real changes from normal data variability using baselines, thresholds, volume, seasonality, and noise control.

Prerequisites: 1

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Cheat Sheet: Foundations and Metrics - official lesson image on GinnyTech, created by AD
7
Base 18 min

Correlation, proxy metric, and causal reading of KPIs

How to avoid improper causal readings when KPIs, proxy metrics, and correlations seem to tell a stronger relationship than actually demonstrated.

Prerequisites: 1

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Case Study - Foundations and Metrics - official lesson image on GinnyTech, created by AD
8
Base 28 min

Lab: redo the metric framework of a real business

Guided lab to redo the metric system of a real business: North Star, KPI tree, guardrail, denominators, cohorts, economics, and decisions.

Prerequisites: 1

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Module connections

Natural prerequisiteData Collection & Tracking Systems8 lessons

Move from isolated tags and tools to reliable, governed, and observable measurement systems.

Same stage of the pathData-Driven Management and Decision Operating System9 lessons

Bring data into the everyday way of deciding with cadence, governance, decision memo, and cross-functional alignment.

Same stage of the pathCourse Overview and Study Method for Data Work8 lessons

Transform the course from catalog to cognitive system, with study method, technical memory, and professional output plan.

Next moduleProduct Analytics and Growth Diagnostics11 lessons

Read where the product creates value, friction, or loss with funnel, retention, activation, and monetization analytics.

Next moduleMarketing Analytics, Incrementality, and Unit Economics22 lessons

Take marketing from reporting to a serious quantitative discipline with incrementality, unit economics, and decision reviews.

Next moduleDashboard, Visualization, and Decision Interface8 lessons

Build dashboards that drive decisions, with visual hierarchy, semantic consistency, alerting, and operational context.