Data-Driven Product Management Course in Amsterdam

Transforming Product Data into Smarter Decisions, Stronger Strategies, and Measurable Results

Successful product management increasingly depends on the ability to interpret data, understand customer behaviour, and make informed decisions throughout the product lifecycle. As markets become more competitive and customer expectations evolve, product professionals need reliable insights to identify opportunities, prioritise features, evaluate performance, and guide product development.

The Data-Driven Product Management course provides participants with a practical understanding of how data and analytics support modern product strategy and decision-making. The programme explores lean product management, Objectives and Key Results (OKRs), product data, user segmentation, market analysis, prioritisation frameworks, performance metrics, experimentation, and data storytelling.

Through practical exercises and product scenarios, participants learn how to translate data into actionable insights, design meaningful experiments, communicate findings, and apply product analytics techniques. The course also introduces commonly used analytics tools and examines the ethical responsibilities associated with collecting and using product data.

You'll Learn How To

• Apply modern and lean product management principles.
• Align product strategy with business objectives, mission, and vision.
• Develop OKRs to guide product planning and roadmaps.
• Understand the role of data in product strategy and decision-making.
• Identify relevant product data sources and data product components.
• Analyse user segments, customer behaviour, and market opportunities.
• Prioritise product initiatives using structured frameworks.
• Define actionable product metrics and performance indicators.
• Design experiments and interpret A/B testing results.
• Communicate product insights through data storytelling and visualisation.
• Apply product analytics techniques using relevant tools.
• Incorporate ethical and transparent data practices into product management.