Data-Driven Product Management Training Course

Name: Data-Driven Product Management Training Course
Availability: InStock

Turn customer and product evidence into metrics, experiments, priorities, forecasts, and defensible roadmap decisions.

At a glance

Duration: 1 Week
Format: Classroom
Cities: Prague, Trabzon, Barcelona, Geneva, Toronto, Zanzibar and more
Next session: 19 – 23 October 2026, Prague
Average fee: 5,800 €

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Data-Driven Product Management Training Course

Overview

Data-Driven Product Management Training Course is a one-week intermediate course for product managers, product owners, analysts, growth teams, and product operations professionals who leave with a Product Evidence and Decision Pack. Participants use product analytics, product metrics, funnel analysis, cohort analysis, experimentation, and evidence-based prioritization to connect customer behavior with roadmap choices and product value. The course resolves fragmented reporting by creating a repeatable decision cycle. Agile Leaders Training Center develops data-driven product management capability.

Who Should Attend

Product management functions responsible for vision, outcomes, priorities, and roadmap decisions
Product ownership functions responsible for backlog choices, acceptance evidence, and delivery sequencing
Analytics functions responsible for behavioral data, product metrics, insight, and decision support
Growth functions responsible for acquisition, activation, engagement, retention, and experimentation
Product operations functions responsible for decision routines, tools, governance, and cross-functional alignment
Customer insight functions responsible for research evidence, segmentation, needs, and experience signals

The course assumes participants can interpret routine product reports and contribute to product decisions, and leaves out advanced statistical modeling, software engineering, and platform-specific administration.

Departments and Industries

The course supports departments and industries that manage digital or service products through customer, market, behavioral, and operational evidence.

Product, analytics, growth, customer experience, research, and product operations
Technology, telecommunications, financial services, and digital commerce
Healthcare, education, hospitality, transport, and professional services
Manufacturing, utilities, logistics, and subscription-based services
Public-service, nonprofit, and infrastructure organizations

Learning Objectives

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

Build a product measurement model linking outcomes, behaviors, and product metrics
Analyze funnels, cohorts, retention patterns, and customer segments
Diagnose evidence quality and gaps in product instrumentation
Prioritize opportunities using impact, confidence, effort, and strategic fit
Evaluate experiments, forecasts, and roadmap trade-offs
Build a Product Evidence and Decision Pack

Course Agenda

Day 1: Frame Product Decisions and Measures

Product Decision Framing Canvas
Outcome and Behavior Logic Map
North Star Metric and Input Metric Tree
Customer, Market, and Operational Evidence Map
Product Measurement Governance Checklist

Day 2: Build Trustworthy Product Analytics

Critical Event and Property Taxonomy
Product Tracking Plan and Ownership Matrix
Instrumentation Quality and Coverage Audit
Segment Definition and Comparison Method
Product Health Dashboard Specification

Day 3: Diagnose Journeys and Retention

Open and Closed Funnel Analysis
Conversion Drop-Off Diagnostic
Behavioral Cohort Analysis
Activation and Retention Curve Review
Path Analysis and Friction Hypothesis Log

Day 4: Prioritize, Experiment, and Forecast

Opportunity Solution Tree Evidence Review
Impact, Confidence, and Effort Prioritization Matrix
Experiment Hypothesis and Guardrail Metric Card
Scenario-Based Product Outcome Forecast
Roadmap Trade-Off and Decision Record

Day 5: Practice Product Decision Integration

Exercise: Repair a Product Metric Tree
Exercise: Diagnose a Funnel and Cohort Case
Exercise: Rank Opportunities Under Constraints
Exercise: Review an Experiment and Forecast
Capstone: Product Evidence and Decision Pack

Practical Exercises

The course uses suggested activities based on digital services, subscriptions, customer portals, and operational products.

Suggested activity: convert a product objective into an outcome map, metric tree, critical events, and tracking plan.
Suggested activity: compare funnel and cohort evidence to locate friction and form testable product hypotheses.
Suggested activity: size and prioritize opportunities while documenting uncertainty, constraints, and strategic fit.
Suggested activity: assess experiment results, update a forecast, and recommend a roadmap decision.

FAQs

Who suits data-driven product management training, and what does it assume?

Product management, ownership, analytics, growth, research, and product operations functions suit the training; it assumes routine experience with product reports and cross-functional decisions.

How does data-driven product management differ from general data analytics training?

Data-driven product management applies evidence specifically to product outcomes, customer behavior, opportunity choices, experiments, forecasts, and roadmap trade-offs. General data analytics training typically concentrates on broader analysis methods and tools.

Which product metrics should a product team define?

Product teams should define an outcome metric, behavioral input metrics, activation and retention measures, guardrails, data-quality indicators, and decision thresholds that reflect how users receive value.

How do funnel analysis and cohort analysis support product decisions?

Funnel analysis identifies where a sequence loses users, while cohort analysis compares how defined groups behave over time. Together they reveal journey friction, segment differences, and retention patterns.

How should product experiments influence a roadmap?

Product experiments should update confidence in a hypothesis, quantify changes in target and guardrail metrics, expose segment effects, and inform whether an option should advance, change, pause, or stop.

Conclusion

Participants take back a Product Evidence and Decision Pack containing metric trees, tracking plans, funnel and cohort findings, opportunity scores, experiment cards, forecasts, and decision records. It changes product discussions from isolated opinions to traceable evidence and explicit assumptions. The pack supports repeatable prioritization, roadmap review, and product-value monitoring.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 74 events

Location	Dates	Duration	Mode	Price
Johannesburg	Week 03, 2027 24 – 28 January 2027	1 Week	Onsite	€4,500
Istanbul	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€4,500
London	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€5,700
Montreux	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€7,500
Rome	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Kuala Lumpur	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,200
Madrid	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,700
Athens	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€6,700
Sharm El-Sheikh	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€4,100
San Diego	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€14,000
Munich	Week 11, 2027 15 – 19 March 2027	1 Week	Onsite	€5,700
Dubai	Week 12, 2027 22 – 26 March 2027	1 Week	Onsite	€4,500
Zoom	Week 12, 2027 22 – 26 March 2027	1 Week	Online	€1,500
Doha	Week 12, 2027 28 March – 1 April 2027	1 Week	Onsite	€5,500
Amsterdam	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€5,700
Lisbon	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€5,700
Tbilisi	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€5,000
Accra	Week 15, 2027 18 – 22 April 2027	1 Week	Onsite	€4,100
Casablanca	Week 16, 2027 19 – 23 April 2027	1 Week	Onsite	€4,100
Bangkok	Week 16, 2027 25 – 29 April 2027	1 Week	Onsite	€6,000

Frequently asked questions

What does this course cover?

OverviewData-Driven Product Management Training Course is a one-week intermediate course for product managers, product owners, analysts, growth teams, and product operations professionals who leave with a Product Evidence and Decision Pack. Participants use product analytics, product metrics, funnel analysis, cohort analysis, experimentation, and 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.

Data-Driven Product Management Training Course