Decoding the Signal
Decoding the Signal is where ideas meet practice. Hosted by Dwayne King, it’s part podcast, part thought laboratory, exploring how we find patterns in human needs, turn unstructured chaos into clarity, and make better decisions in an AI-shaped world.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 23 | Founded | a year ago | Last Issue | 7 months ago |
| Active | |||||
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decodingthesignal.substack.comLatest Issues
The $100 Million Adoption Gap: Why Your AI Budget Doesn't Matter
At a panel discussion in London a while back, Eleanor Bertin from Pigment dropped a line that should make every C-suite executive uncomfortable:
“Most companies have big budgets right now for AI. So that’s not the problem anymore. Every bu...
The Standing Ovation Cascade Playbook
You understand the mechanics now. You see the cultural trap.
Part 1 showed you the Standing Ovation Model, adoption follows cascade dynamics driven by seven levers. Part 2 showed you the 20% death zone, early adopters form tribal boundarie...
The Discipline of Simple
“There’s no such thing as simple. Simple is hard.”
—Martin Scorsese
I came across this quote last week and it piqued my interest. Not because it was profound, though it is, but because it names something every leader feels but rarely say...
The 20% Death Zone
Week 7. Adoption hits 18%.
Your team celebrates. The exec sponsor forwards the dashboard to leadership with “great progress!” The early adopters are building workflows, sharing tips, evangelizing the tool. Everything looks healthy.
But so...
Why Standing Ovations Sometimes Happen, and Sometimes Don't, And What It Can Teach Us About Tool Adoption
Your team launches an internal AI tool. Month one: 5% adoption. Month two: 7%. Month three: back to 5%. Six months later, it’s quietly deprecated. Nobody misses it.
Meanwhile, across the building, a different team launches a similar tool....
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Authors
The writers behind this newsletter.
Leading in the age of AI. Practical frameworks from Dwayne King's work in innovation and AI—lessons learned building products, operations, and culture that create real advantage, beyond the hype.
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