Course Overview

Modern product management requires more than intuition and traditional market research. In today’s fast-moving business environment, organisations rely on data-driven strategies to make informed decisions, understand customer behaviour, and build successful products with greater precision and efficiency.

The Data-Driven Product Management course by Transformentors Academy equips professionals with the practical skills needed to integrate data analytics into every stage of the product lifecycle. Participants will learn how to use real-time data, product metrics, and analytical frameworks to support strategic decision-making, optimise product performance, and identify market opportunities.

Through practical exercises and real-world case studies, the course explores modern product management methodologies, user segmentation, market analysis, feature prioritisation, experimentation techniques, A/B testing, and data storytelling. Participants will gain the confidence to transform data into actionable insights that drive innovation, customer satisfaction, and business growth.

Agenda

Day — 1

Fundamentals of Modern Product Management

• Understanding the fundamentals and evolving role of product management
• Exploring lean product methodologies and their application in product development
• Developing mission, vision, and value propositions aligned with business strategy
• Understanding the concept and importance of Objectives and Key Results (OKRs)
• Applying OKRs to design and manage effective product roadmaps

Day — 2

Data-Driven Approach

• Understanding the concept and importance of data-driven product management
• Exploring different types of product data used in decision-making

Types of Product Data

• Customer data and user behaviour insights
• Performance data for product evaluation and optimisation
• Progress data for tracking product development and business goals

Data Product Journey

• Understanding the role of people in data-driven product management
• Exploring processes that support data collection and analysis
• Identifying technologies used to manage and utilise product data

Types of Data Products

• Understanding raw data and its applications
• Exploring derived data for business insights
• Understanding algorithms and analytical models
• Identifying decision support systems and their business value
• Exploring automated decision-making processes and applications
• Understanding how to develop and implement data-driven product strategies

Day — 3

Data Analysis and Metrics Definition

• Leveraging data to segment users based on behaviours, preferences, and needs
• Understanding market-sizing techniques to analyse market opportunities and potential

Prioritisation Frameworks

• Applying the RICE Scoring Model for feature prioritisation
• Understanding the Lines in the Sand Framework for strategic decision-making

Metrics & Performance Measurement

• Defining meaningful metrics for different stages of the product lifecycle
• Understanding the characteristics of actionable metrics for data-driven decision-making
• Using performance metrics to support product growth and optimisation

Day — 4

Data-Driven Experimentation and Storytelling

• Understanding the process of structuring statistical experiments
• Exploring A/B testing techniques and best practices
• Understanding the concept of “Definition of Done” and its importance in product development
• Using storytelling techniques to communicate data insights effectively with stakeholders
• Applying data visualisation methods for impactful presentations and reporting

Day — 5

Product Analytics

• Exploring commonly used product analytics tools and platforms

Product Analytics Tools

• Google Analytics for tracking user behaviour and product performance
• Amplitude for product usage and customer journey analysis
• Google Sheets and Excel for data organisation and reporting
• SQL for querying and analysing product data

Product Analysis Techniques

• Understanding funnel analysis to track user conversion journeys
• Applying cohort analysis to measure user engagement over time
• Analysing repeat rates to evaluate customer retention
• Understanding churn rates and customer attrition patterns
• Understanding ethical considerations in data usage and product analytics
• Recognising the importance of transparency in data collection and usage practices
• Course Recap and Interactive Q&A Session

Learning Outcomes

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

• Understand modern product management principles and best practices
• Apply lean product methodologies in product development and management
• Implement Objectives and Key Results (OKRs) to support product roadmaps and business goals
• Understand the importance of data-driven decision-making in product management
• Explore different types of product data and the data product journey
• Apply data analysis techniques for user segmentation and market analysis
• Create actionable metrics to support product performance and strategic decisions
• Structure and conduct statistical experiments and analyse results effectively
• Apply storytelling techniques to communicate data insights clearly
• Utilize product analytics tools and analytical methods to improve product outcomes

Who Should Attend

This course is ideal for professionals looking to leverage data-driven strategies in product management and decision-making, including:

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