How to make organizational performance diagnostics easier with AI
summary
The talk presents a concrete approach that combines self-observation tools, interviews, and generative AI to accelerate and standardize organizational performance diagnostics. It explains how AI can be used to objectify field observations, structure analysis, and quickly identify improvement levers, illustrated with examples from agile-at-scale, Lean, and data-driven practice.
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chapters (6)
- 0:00Introduction
- 3:54Performance definition
- 13:10Traditional performance diagnostics
- 18:09AI for diagnostics
- 26:35Results and impact mapping
- 30:50Conclusion
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