How to Introduce Data-driven Decision Making to Skeptical Agile Teams | Marina Lazovic

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Marina describes her experience introducing data-driven decision making to help teams improve their processes. Starting with basic metrics like velocity, she gradually expanded to more sophisticated data points such as how long items remain in specific workflow states. She emphasizes the importance of introducing these concepts naturally into daily work and using the data to spark meaningful conversations with both the team and Product Owner. By examining why items were stuck and for how long, the team uncovered underlying issues they could address. Marina also explains how she used historical data to inform sprint planning, making estimates more realistic. Her approach focused on simplicity—introducing one data point at a time, avoiding jargon, encouraging teams to discover problems themselves, and empowering them to develop their own solutions rather than imposing answers.

Self-reflection Question: What single data point could you start tracking that might reveal the most important improvement opportunity for your team?

About Marina Lazovic

Marina is a Scrum Master and Kanban Trainer from Belgrade, Serbia, with nearly a decade in the IT industry. Though not from a technical background, she is passionate about helping development teams and organizations optimize processes and build great products using Agile. She thrives on driving efficiency and fostering collaboration.

You can link with Marina Lazovic on LinkedIn.