Business & Product Analytics Academy

Turn raw data into commercial strategy — measure what matters, grow what works.

For leaders, product managers, and growth teams. Four courses following the Understand → Measure → Optimize → Grow maturity model — from KPIs and North Star metrics to product analytics, growth experimentation, and analytics leadership.

1 · Strategic Business Performance & Metric Design Beginner → Intermediate

For: Business analysts, project managers, department leaders

Map complex business models to clean, hierarchical performance frameworks — and design KPIs and executive dashboards that drive action. Stop measuring everything and understanding nothing.

What’s covered

Business analytics foundations & KPI mapping — MECE trees
North Star metrics & OKR cascading — input/output metrics, departmental OKRs
Executive dashboard specification — wireframing control rooms for fast decisions

2 · Product Analytics & User Behavioral Mapping Intermediate

For: Product managers, UX/UI designers, product analysts

Analyze how users really interact with your product — track activation, find friction, and build habit-forming loops. Build products people actually use.

What’s covered

Product analytics & behavioral cohorts — activation events, personas, retention
Customer journeys & funnel leakage — multi-device journeys, drop-off, friction metrics
Product growth loops & engagement — compounding loops, engagement matrices, habit triggers

3 · Customer Acquisition & Growth Experimentation Intermediate → Advanced

For: Growth marketers, commercial strategists, marketing directors

Optimize marketing spend and run rigorous growth experiments — master the unit economics of acquisition and statistically sound A/B testing.

What’s covered

LTV & CAC mechanics — unit economics, payback periods, customer health scores
Marketing attribution & spend optimization — first/last/multi-touch in a privacy-first world
Growth experimentation & A/B testing — sound hypotheses, sample sizes, A/B/n & multivariate

4 · Decision Intelligence & Analytics Leadership Advanced / Executive

For: C-suite, VPs, and directors building analytics functions

Lead data-driven organizations — structure high-performing analytics teams, mitigate cognitive biases, and use AI to accelerate analysis. Move from reporting to intelligent, bias-free strategy.

What’s covered

Decision intelligence for executives — overcoming biases, decision trees, business cases
AI-enabled business analysis — generative AI for market research, personas, natural-language database queries
Building & leading analytics teams — centralized vs decentralized, hiring, data-literate culture

Interested in this academy?

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