We don’t have a meeting problem.
We have a learning-from-meetings problem.
Sure, meetings could be less and shorter. But the real issue? We don’t learn from them.
What we get instead:
- Soulless AI summaries (“The team discussed various topics”)
- Half-baked notes from colleagues (only what they found interesting)
- Transcription theater (“John mentioned the deadline”)
Nobody learns from this.
Full Guide: Meeting Intelligence →
What I Create Instead
Three outputs from every meeting:
| Output | Audience | Contains |
|---|---|---|
| Meeting Debrief | Team | Topics, Insights, Decisions, Actions |
| Effectiveness Review | Team | Format fit, time efficiency, patterns |
| Personal Subtext | Just me | Manöverkritik, patterns, political awareness |
The Real Differentiator: Effectiveness Review
AI tells me:
“This Daily ran 45 minutes. Topic X should have been a workshop.”
“Third time this month the same decision got deferred.”
When a neutral tool says “this meeting drifted”—that’s different than a colleague saying it.
We don’t have a meeting problem. We have a wrong-format-for-content problem.
And that’s something AI can actually see—because it’s not emotionally invested in the meeting.
Deep Dive: Meeting Effectiveness Review →
Personal Subtext
The official debrief is for the team. The subtext is for me:
- What could I have done better?
- Patterns I’m repeating (Firefighter Mode, Desk-Vortex)
- Political dynamics to be aware of
It’s okay if AI tells me I talked too much. Just not in the official record.
Deep Dive: Personal Subtext & Manöverkritik →
PS: DSGVO
Of course, all of this needs to be DSGVO-compliant. We evaluate the meeting, not the people. Deep Dive: DSGVO Compliance →
Your Turn
How do you document meetings today?
Part of my AI as Operational Partner series.