Opening
You're leading a project kickoff meeting with stakeholders. Thirty minutes of polite discussion. Everyone nods. At the end, you ask for questions. Silence. The meeting ends. Nothing moves forward. Next meeting, same thing. But one time, someone interrupts you mid-sentence: 'Wait—does this mean we can finally stop doing manual reconciliation?' That project got approved in three days. The difference? You found the pain point. David Ogilvy spent days interviewing customers before writing a word. He listened for the moment they stopped being polite and started being real. AI can find those moments in your meeting transcripts.
The Principle
Every meeting contains the reason people will support your idea or ignore it. The problem? It's buried in 45 minutes of status updates and careful language.
When someone says 'interesting idea,' that's nothing. When they interrupt with 'how fast could we implement this?' that's urgency.
AI can analyze your meeting transcripts and spot the pattern: interruptions reveal what people actually care about. Questions they ask versus questions they avoid. The moment corporate speak becomes personal.
Patterns across ten meetings become your playbook.
The Prompt
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Why It Works
You can't catch these patterns while running the meeting. You're watching the clock, reading the room, thinking about your next slide.
AI sees what you miss: the person who interrupts with 'how much does this cost?' is ready to buy in. The one who asks 'who else is doing this?' needs social proof.
The phrase that appears in 60% of your stalled projects? That's your real obstacle. Address it in your first slide next time.
Try This
Do this right now:
1. Export transcripts from your last 5 project meetings (Zoom, Teams, or Google Meet all have this)
2. Paste them into the prompt and look for the interruption pattern
3. Find the one question that appears in meetings that went somewhere vs. meetings that died
Takes 10 minutes. That question tells you what to lead with next time.
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