Data-Driven Product Management

Available Dates

Sep-30-2024

Dubai
Oct-28-2024

Dubai
Nov-25-2024

Dubai
Dec-30-2024

Dubai
Jan-27-2025

Dubai
Feb-24-2025

Dubai
Mar-24-2025

Dubai
Apr-28-2025

Dubai
May-26-2025

Dubai
June-30-2025

Dubai
July-28-2025

Dubai
Aug-25-2025

Dubai
Sep-29-2025

Dubai
Oct-27-2025

Dubai
Nov-24-2025

Dubai
Dec-29-2025

Dubai

Dates in Other Venues

Sep-23-2024

Barcelona
Sep-30-2024

Kuala Lumpur
Sep-30-2024

Istanbul
Oct-07-2024

Kuala Lumpur
Oct-07-2024

Istanbul
Oct-14-2024

Singapore
Oct-14-2024

Paris
Oct-21-2024

London
Oct-21-2024

Amsterdam
Oct-28-2024

Barcelona
Nov-04-2024

Istanbul
Nov-04-2024

Kuala Lumpur
Nov-11-2024

Singapore
Nov-11-2024

Paris
Nov-18-2024

Amsterdam
Nov-18-2024

London
Nov-25-2024

Barcelona
Dec-02-2024

Istanbul
Dec-02-2024

Kuala Lumpur
Dec-09-2024

Paris
Dec-09-2024

Singapore
Dec-16-2024

London
Dec-16-2024

Amsterdam
Dec-23-2024

Barcelona
Dec-30-2024

Istanbul
Dec-30-2024

Kuala Lumpur
Jan-06-2025

Kuala Lumpur
Jan-06-2025

Istanbul
Jan-13-2025

Paris
Jan-13-2025

Singapore
Jan-20-2025

Amsterdam
Jan-20-2025

London
Jan-27-2025

Barcelona
Feb-03-2025

Istanbul
Feb-03-2025

Kuala Lumpur
Feb-10-2025

Paris
Feb-10-2025

Singapore
Feb-17-2025

London
Feb-17-2025

Amsterdam
Feb-24-2025

Barcelona
Mar-03-2025

Kuala Lumpur
Mar-03-2025

Istanbul
Mar-10-2025

Paris
Mar-10-2025

Singapore
Mar-17-2025

London
Mar-17-2025

Amsterdam
Mar-24-2025

Barcelona
Apr-07-2025

Istanbul
Apr-07-2025

Kuala Lumpur
Apr-14-2025

Paris
Apr-14-2025

Singapore
Apr-21-2025

Amsterdam
Apr-21-2025

London
Apr-28-2025

Barcelona
May-05-2025

Kuala Lumpur
May-05-2025

Istanbul
May-12-2025

Singapore
May-12-2025

Paris
May-19-2025

London
May-19-2025

Amsterdam
May-26-2025

Barcelona
June-02-2025

Istanbul
June-02-2025

Kuala Lumpur
June-09-2025

Singapore
June-09-2025

Paris
June-16-2025

London
June-16-2025

Amsterdam
June-23-2025

Barcelona
June-30-2025

Kuala Lumpur
June-30-2025

Istanbul
July-07-2025

Istanbul
July-07-2025

Kuala Lumpur
July-14-2025

Paris
July-14-2025

Singapore
July-21-2025

Amsterdam
July-21-2025

London
July-28-2025

Barcelona
Aug-04-2025

Kuala Lumpur
Aug-04-2025

Istanbul
Aug-11-2025

Paris
Aug-11-2025

Singapore
Aug-18-2025

London
Aug-18-2025

Amsterdam
Aug-25-2025

Barcelona
Sep-01-2025

Kuala Lumpur
Sep-01-2025

Istanbul
Sep-08-2025

Paris
Sep-08-2025

Singapore
Sep-15-2025

London
Sep-15-2025

Amsterdam
Sep-22-2025

Barcelona
Sep-29-2025

Istanbul
Sep-29-2025

Kuala Lumpur
Oct-06-2025

Istanbul
Oct-06-2025

Kuala Lumpur
Oct-13-2025

Singapore
Oct-13-2025

Paris
Oct-20-2025

Amsterdam
Oct-20-2025

London
Oct-27-2025

Barcelona
Nov-03-2025

Istanbul
Nov-03-2025

Kuala Lumpur
Nov-10-2025

Singapore
Nov-10-2025

Paris
Nov-17-2025

Amsterdam
Nov-17-2025

London
Nov-24-2025

Barcelona
Dec-01-2025

Kuala Lumpur
Dec-01-2025

Istanbul
Dec-08-2025

Singapore
Dec-08-2025

Paris
Dec-15-2025

Amsterdam
Dec-15-2025

London
Dec-22-2025

Barcelona
Dec-29-2025

Kuala Lumpur
Dec-29-2025

Istanbul

Course Details

In the past, product management often relied on intuition and traditional market research to guide decision-making. This approach, while foundational, frequently lacked the precision and agility needed in today’s fast-paced market environments. As products and consumer behaviors become increasingly complex, the necessity for a more nuanced approach has emerged.

Data-driven product management represents a significant evolution in how product strategies are formulated and executed. Unlike traditional methods, this modern approach integrates rigorous data analysis into every stage of product development. By leveraging real-time data and advanced analytics, product managers can make informed decisions, anticipate market trends, and drive innovations with greater accuracy.

This course is designed to equip you with the essential skills and knowledge needed to transition from traditional product management practices to a data-centric methodology. You'll begin by exploring the fundamentals of modern product management, including lean product methodologies and the development of mission, vision, and value propositions aligned with business strategies.

Building on this, the course covers data analysis and metrics definition, providing you with tools to segment users, analyze market sizes, and prioritize product features using frameworks like the RICE Scoring Model. You will also master data-driven experimentation and storytelling, learning to structure experiments, conduct A/B tests, and communicate insights through compelling data visualizations.

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

Gain a comprehensive understanding of modern product management principles.
Understand lean product methodology and its application in product management.
Implement Objectives and Key Results (OKRs) to drive the product roadmap.
Embrace a data-driven approach to product management and recognize its significance
Explore various types of product data and data product journey
Apply data analysis techniques to segment users and analyze the market.
Create actionable metrics for data-driven decision-making.
Structure and implement statistical experiments and analyze the data.
Utilize storytelling techniques to communicate your data.
Utilize product analytics tools and methods

This course is essential for professionals looking to harness the power of data in product management. It is designed for those who seek to elevate their strategic decision-making by integrating data-driven insights into their product development processes:

Product Managers
Product Developers
Project Managers
Product Owners
Marketing Professionals
Planners
Business Analysts
Entrepreneurs
Startup Founders
Technical Architects
Coders
Test Analysts
Data Analysts

Our courses in Dubai are held at the LPC office located at:

ParkLane Tower - Business Bay - Dubai, 7th Floor, Office 718.

Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.

Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

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:

Customer Data
Performance Data
Progress Data

Understanding Data Product Journey and its elements:

People
Processes
Technology

Defining varieties of data products

Raw data
Derived data
Algorithms
Decision support
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:

RICE Scoring Model
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:

Google Analytics
Amplitude
Google Sheets/Excel
SQL

Familiarizing with important types of product analysis:

Funnel analysis
Cohort analysis
Repeat rates
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

Data-Driven Product Management

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