methodology

Evidence-Based Decision Making

Evidence-Based Decision Making (EBDM) is a systematic approach to making decisions by integrating the best available evidence from research, data analysis, and practical experience, rather than relying solely on intuition or tradition. It involves critically appraising information, considering stakeholder values, and applying judgment to achieve optimal outcomes in fields like business, healthcare, and software development. This methodology emphasizes using empirical data and rigorous analysis to reduce uncertainty and improve the effectiveness of decisions.

Also known as: EBDM, Evidence-Based Practice, Data-Driven Decision Making, Empirical Decision Making, Evidence-Based Management
🧊Why learn Evidence-Based Decision Making?

Developers should learn and use Evidence-Based Decision Making to enhance the quality and reliability of their technical choices, such as selecting frameworks, optimizing performance, or prioritizing features, by basing decisions on data rather than assumptions. It is particularly valuable in agile environments, where iterative testing and metrics-driven feedback can guide development processes, reduce risks, and align projects with user needs and business goals. This approach helps in justifying decisions to stakeholders and fostering a culture of continuous improvement through measurable results.

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