Force AI to separate observations from interpretations in analysis
Before prompting AI to analyze meeting transcripts or documents, explicitly request separated outputs: first section lists only observable facts without interpretation, second section offers interpretations of those observations.
Why This Is a Rule
AI models blend observation and interpretation by default. Ask "analyze this meeting transcript" and you get a single stream where "the team discussed the timeline" (observation) sits next to "there appears to be tension about the deadline" (interpretation) with no boundary between them. You read the interpretation as if it has the same evidentiary weight as the observation, because the model presented them in the same voice with the same confidence.
This is dangerous because AI interpretations look plausible but lack ground truth. The model infers "tension" from word frequency and sentence structure, not from seeing body language, knowing team history, or understanding organizational context. When observation and interpretation blend, you inherit the model's confident guesses as facts.
Forcing separated outputs — observations first, interpretations second — lets you verify the factual layer independently before evaluating the interpretive layer. You can check: did the model observe accurately? Are there observations it missed? Only then do you assess whether its interpretations follow from those observations.
When This Fires
- Using AI to summarize meeting transcripts or recordings
- Asking AI to analyze customer feedback, survey responses, or interview data
- Processing any document where distinguishing "what happened" from "what it means" matters
- Reviewing AI analysis before making decisions based on it
Common Failure Mode
Accepting AI "key takeaways" that blend facts and inferences into a single bullet list. "The client is unhappy with the timeline" — is that an observation (they said so explicitly) or an interpretation (the model inferred it from tone)? Without separation, you can't tell, and you'll act on the interpretation as if it were fact.
The Protocol
Structure every analytical AI prompt with: "Analyze this [transcript/document]. Output two clearly labeled sections: OBSERVATIONS (only what is directly stated or objectively present — no inference) and INTERPRETATIONS (your analysis of what the observations might mean, with reasoning)." Review the observations first for completeness and accuracy before reading the interpretations.