Data-Driven Product Management

Course Info

Length: 1 Week

City: Amsterdam

Type: In Classroom

Available Dates

  • Feb-10-2025

    Amsterdam

  • May-12-2025

    Amsterdam

  • Aug-11-2025

    Amsterdam

  • Nov-10-2025

    Amsterdam

Dates in Other Venues

  • Jan-13-2025

    Dubai

  • Feb-10-2025

    Barcelona

  • Feb-10-2025

    Kuala Lumpur

  • Feb-10-2025

    Singapore

  • Feb-10-2025

    Paris

  • Feb-10-2025

    Istanbul

  • Feb-10-2025

    London

  • Mar-24-2025

    Dubai

  • Apr-14-2025

    London

  • May-12-2025

    Kuala Lumpur

  • May-12-2025

    Singapore

  • May-12-2025

    Paris

  • May-12-2025

    Barcelona

  • May-12-2025

    Dubai

  • May-12-2025

    Istanbul

  • June-23-2025

    London

  • July-14-2025

    Dubai

  • Aug-11-2025

    Barcelona

  • Aug-11-2025

    Paris

  • Aug-11-2025

    Istanbul

  • Aug-11-2025

    London

  • Aug-11-2025

    Kuala Lumpur

  • Aug-11-2025

    Singapore

  • Sep-22-2025

    Dubai

  • Oct-13-2025

    London

  • Nov-10-2025

    Istanbul

  • Nov-10-2025

    Barcelona

  • Nov-10-2025

    Dubai

  • Nov-10-2025

    Paris

  • Nov-10-2025

    Singapore

  • Nov-10-2025

    Kuala Lumpur

  • Dec-22-2025

    London

Course Details

Course Outline

5 days course

Fundamentals of Modern Product Management 


  • Overview of product management 
  • Understanding lean product methodology in product management 
  • Developing mission, vision, and value to develop product strategy from business strategy 
  • Defining Objective and Key Results (OKRs) 
  • Utilizing OKRs to design product roadmaps

Data-Driven Approach 


  • Defining data-driven product management and its significance 
  • Exploring types of product data:


  1. Customer Data
  2. Performance Data 
  3. Progress Data


  • Understanding Data Product Journey and its elements:


  1. People 
  2. Processes
  3. Technology 


  • Defining varieties of data products


  1. Raw data
  2. Derived data
  3. Algorithms
  4. Decision support
  5. Automated decision-making 


  • Understanding data-driven product strategy

Data Analysis and Metrics Definition 


  • Leveraging data to segment users based on behavior and needs 
  • Utilizing the market-sizing process to analyze the market 
  • Utilizing prioritization methods:


  1. RICE Scoring Model
  2. Lines in the Sand Framework 



  • Defining metrics that matter for different product stages 
  • Exploring the characteristics of actionable metrics that enable data-driven decision-making

Data-Driven Experimentation and Storytelling 


  • Understanding the steps of structuring statistical experiments 
  • Exploring AB testing best practices 
  • Understanding the concept “Definitions of Done” and its importance 
  • Utilizing stories to communicate data insights with stakeholders 
  • Utilizing data visualizations for presentations and reports

Product Analytics 


  • Exploring product analytics tools:



  1. Google Analytics 
  2. Amplitude 
  3. Google Sheets/Excel
  4. SQL 


  • Familiarizing with important types of product analysis:


  1. Funnel analysis 
  2. Cohort analysis 
  3. Repeat rates 
  4. Churn rates 


  • Understanding the ethical considerations related to the usage of data in product management 
  • The importance of promoting transparency around data collection and usage
  • Course recap and Q&A