Triangulation Plan
Uses two methods that fail differently, which beats doing one method twice as carefully.
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Running it, start to finish
- Name precisely what your current method cannot see.
- Add a method whose weakness is the first one's strength.
- Decide in advance what disagreement would mean.
What you get back
The output this produces, every time.
- Chooses a second method whose weakness differs, so agreement is actually informative.
- Plans in advance how disagreement will be interpreted, preventing convenient dismissal afterwards.
- Says when a second method is not worth it, given the decision's reversibility.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Avoid two methods with the same blind spot. Two surveys agreeing tells you very little, because neither could have caught what the other missed.
- Treat disagreement as a finding. When analytics and interviews diverge, the explanation for the behaviour is usually not what anyone assumed.
- Keep the methods independent. Using the same people, or letting the first shape the second's framing, manufactures the agreement.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.
