Your stack holds partial truths. Stop chasing one dashboard. Declare sources of authority, document blind spots, and build smart bridges. AI helps only when boundaries are clear. Orchestrate specialists into a federated system so teams decide faster and argue less. Set escalation for conflicts now.
Think like a doctor, not a data collector. Your dashboards should be a cockpit, not a buffet. Every metric has a cost in attention, fueling debate and cognitive load. Track only what informs decisions. If a number doesn't drive action, it's just noise.
Stop being data driven. It breeds passivity and dashboard worship. Be data informed: start with a question, state a hypothesis, define the stakes, then use data to pressure test. AI is a sous chef, not your strategist. Data informs. Judgment makes the call. Decide the meal before you open the fridge
In the Data Delusion, we focus on metrics while losing sight of what truly matters. We celebrate tiny, irrelevant wins, creating an illusion of progress. Data without human judgment is just noise – it's time to use it to sharpen our questions, not just track our speed.
Your best work may not be ignored. It may be read, shared and discussed where you cannot see it. The Engagement Paradox explains why quiet influence can matter more than visible applause, and how to tell it from content that simply did not land.
We’re obsessed with data, but our dashboards often make us dumber. We track everything yet decide nothing. More data, less judgment. This isn't a tooling issue, it's a thinking one. This 11-principle series shares ideas on how to build judgment in an AI era that demands it.
LinkedIn buries my old posts, so I built a lightweight AI lookup. Titles and links sit in JSON with ChatGPT-made tags. A custom GPT does prompt-based retrieval. Not full RAG, just fast recall. Next: automate updates via API. Guardrails keep it a helper, not a clone.