
Teaching Evidence-Based Management Ask the experts
18 snips
Aug 19, 2025 In a lively discussion, experts Denise Rousseau, a leading professor at Carnegie Mellon, Rob Briner from Queen Mary University, and Eric Barends, Managing Director at the Center for Evidence-Based Management, tackle audience questions on evidence-based management. They stress the importance of starting with basic principles to make the concepts accessible. The trio delves into how AI can assist decision-making but requires critical evaluation, the critical need for teamwork to identify biases, and how to build supportive networks within organizations to enhance evidence-based practices.
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Match Evidence Effort To Stakes
- Quantify how uncertain you are and match evidence effort to the outcome's importance and accountability.
- Invest more time gathering evidence for high-stakes decisions and accept more risk for low-stakes entrepreneurial choices.
AI Helps — If You Keep Thinking
- AI can erode critical thinking if users treat outputs as authoritative without questioning them.
- Skilled users who prompt precisely and appraise AI outputs can get fast, useful evidence summaries.
Prompt AI Precisely And Verify Sources
- Give AI clear, specific prompts and constraints (e.g., check results section only or peer-reviewed sources).
- Validate AI outputs by checking sources and using critical appraisal skills before accepting conclusions.



