Product Analytics and Decision Metrics Training Course

Name: Product Analytics and Decision Metrics Training Course
Availability: InStock

Design event tracking, metric trees, funnels, retention evidence, experiments, and review routines for product and growth decisions.

At a glance

Duration: 1 Week
Format: Classroom
Cities: Toronto, Kuala Lumpur, Paris, Montreux, Phuket, Dubai and more
Next session: 18 – 22 October 2026, Toronto
Average fee: 5,800 €

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Product Analytics and Decision Metrics Training Course

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Overview

Product Analytics and Decision Metrics Training Course is a one-week course for product managers, analysts, growth teams, and digital-service professionals who leave with a Product Measurement Decision Pack. Participants design an event tracking plan, build a North Star metric tree, analyze funnels and retention, define product experiment evidence, and establish decision reviews. The course connects product analytics and decision metrics to user value rather than isolated dashboard counts. Agile Leaders Training Center develops product measurement practice.

Who Should Attend

Product management functions responsible for priorities, outcomes, and evidence-based roadmap decisions
Product analytics functions responsible for tracking design, behavioral analysis, and metric interpretation
Growth functions responsible for activation, conversion, engagement, and retention evidence
Digital-service functions responsible for user journeys, feature performance, and service adoption
Data functions responsible for event quality, metric definitions, and dashboard governance

The course assumes participants can work with product data and basic descriptive statistics; it leaves out software instrumentation code, marketing attribution modeling, advanced causal inference, and vendor administration.

Departments and Industries

The course supports departments and industries that use behavioral evidence to guide digital product decisions.

Product, analytics, growth, digital experience, and data operations
Software services, financial technology, telecommunications, and online marketplaces
Retail, media, travel, subscription services, and customer portals
Healthcare technology, education platforms, logistics applications, and public digital services

Learning Objectives

By the end of this course, participants will be able to:

Build a measurement strategy and metric tree tied to user value.
Use an event taxonomy and tracking plan to define behavioral evidence.
Analyze activation, funnels, cohorts, and retention patterns.
Compare product experiment results and diagnostic evidence.
Evaluate dashboard definitions, data quality, and metric tradeoffs.
Prioritize product actions through a documented decision review.

Course Agenda

Day 1: Design Product Measurement

User Value Proposition and Outcome Map
North Star Metric and Input Metric Tree
Product Question and Decision Register
Leading, Lagging, and Guardrail Metric Matrix
Metric Definition and Ownership Dictionary

Day 2: Build Behavioral Evidence

Event Taxonomy and Naming Convention
Event Property and User Property Register
Product Tracking Plan and Validation Checklist
User, Account, Session, and Event Scope Map
Data Quality and Identity Resolution Log

Day 3: Analyze Journeys and Retention

Activation Event and Time-to-Value Definition
Conversion Funnel and Drop-Off Analysis
User Path and Friction Evidence Map
Cohort Definition and Comparison Table
Retention Curve and Return-Event Analysis

Day 4: Test and Govern Decisions

Product Hypothesis and Experiment Scorecard
Randomization Unit and Exposure Check
Primary, Secondary, and Guardrail Metric Review
Experiment Lift and Confidence Evidence Sheet
Dashboard Review and Product Decision Log

Day 5: Practice Product Decisions

Exercise: Repair an Event Taxonomy and Tracking Plan
Exercise: Diagnose Funnel and Activation Friction
Exercise: Compare Cohort and Retention Evidence
Exercise: Evaluate an Experiment Scorecard
Capstone: Product Measurement Decision Pack

Practical Exercises

The course uses suggested activities based on subscription, marketplace, mobile service, and customer-portal examples.

Suggested activity: convert a product question into a metric tree, definition dictionary, and ownership record.
Suggested activity: design an event taxonomy and test the resulting funnel, activation, and identity evidence.
Suggested activity: compare cohorts and retention curves before proposing a product action.
Suggested activity: review an experiment scorecard and record a continue, revise, or stop decision.

FAQs

Who suits product analytics and decision metrics training, and what does it assume?

Product management, analytics, growth, digital-service, and data functions suit the training. It assumes experience with product data and basic descriptive statistics.

How do product analytics and decision metrics differ from general business intelligence?

Product analytics focuses on user behavior, feature journeys, activation, retention, and experiments, while general business intelligence often combines financial, operational, customer, and organizational reporting across the enterprise.

How should a product team choose a North Star metric?

A product team should select a measure that represents user value, sits within the team’s sphere of influence, and links to supporting input metrics that teams can change through product work.

What makes an event tracking plan useful for product analytics?

A useful event tracking plan defines decisions, events, properties, identities, ownership, validation rules, and expected evidence so analysts and product teams interpret the same behavior consistently.

How should product experiment evidence guide a decision?

Product experiment evidence should be read with the hypothesis, randomization unit, exposure checks, primary and guardrail metrics, uncertainty, segment behavior, and operational context before a decision is recorded.

Conclusion

Participants take back a Product Measurement Decision Pack containing a metric tree, event taxonomy, tracking plan, funnel and retention evidence, experiment scorecards, dashboard definitions, and a decision log. It changes product reporting from disconnected counts into a traceable measurement system. The pack supports shared definitions, repeatable analysis, explicit tradeoffs, and documented product action.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 74 events

Location	Dates	Duration	Mode	Price
Toronto	Week 42, 2026 18 – 22 October 2026	1 Week	Onsite	€12,000
Kuala Lumpur	Week 43, 2026 19 – 23 October 2026	1 Week	Onsite	€5,200
Paris	Week 44, 2026 26 – 30 October 2026	1 Week	Onsite	€5,700
Montreux	Week 44, 2026 26 – 30 October 2026	1 Week	Onsite	€7,500
Phuket	Week 44, 2026 1 – 5 November 2026	1 Week	Onsite	€6,000
Dubai	Week 46, 2026 9 – 13 November 2026	1 Week	Onsite	€4,500
Amman	Week 46, 2026 15 – 19 November 2026	1 Week	Onsite	€4,100
London	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€5,700
Porto	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€5,700
Barcelona	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€5,700
San Diego	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€14,000
Trabzon	Week 49, 2026 6 – 10 December 2026	1 Week	Onsite	€6,800
Casablanca	Week 50, 2026 7 – 11 December 2026	1 Week	Onsite	€4,100
Johannesburg	Week 50, 2026 13 – 17 December 2026	1 Week	Onsite	€4,500
Kuala Lumpur	Week 52, 2026 21 – 25 December 2026	1 Week	Onsite	€5,200
Langkawi	Week 52, 2026 27 – 31 December 2026	1 Week	Onsite	€6,000
Geneva	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€6,200
Marbella	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€5,700
Dubai	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€4,500
Berlin	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewProduct Analytics and Decision Metrics Training Course is a one-week course for product managers, analysts, growth teams, and digital-service professionals who leave with a Product Measurement Decision Pack. Participants design an event tracking plan, build a North Star metric tree, analyze funnels and retention, define product experiment evidence…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Product Analytics and Decision Metrics Training Course