Storytelling With Data
summary
Argues that organizations must shift from measuring work as a process to measuring work as a story, introducing story thinking and narrative intelligence (MIT Media Lab term) as operational models. Shows practical tools: prompt-first workflows with ChatGPT, KPI placement at story stages, commitment surveys, and sentiment analysis across project email/communications used as an early-warning (cited on the Boeing 737 Max review). Identifies failures in SOAP, design thinking, and marketing funnels and gives prompt examples for innovation, monitoring, and fraud detection.
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chapters (6)
- 0:00Why storytelling matters
- 4:57Story models and frameworks
- 12:55Transformational vs transactional change
- 20:00Story thinking in practice
- 34:32Identifying organizational gaps
- 39:54Future of AI and storytelling
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