Positioning From Customer Language
Builds positioning out of the words customers actually used in reviews, calls and tickets, instead of the words the founding team likes.
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Running it, start to finish
- Gather raw, unedited customer language from at least three sources.
- Check section 3 against your assumptions about competitors.
- Test the strongest option with five customers before rolling it out.
What you get back
The output this produces, every time.
- Extracts positioning language from what customers actually said, quoted rather than paraphrased.
- Identifies the real alternative you are compared to, which is often not a competitor at all.
- Forces each option to name the segment it gives up, which is what makes it positioning.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Feed it unedited source material. Support tickets and lost-deal notes beat testimonials. Tidied inputs give you back your own vocabulary with extra steps.
- Look hardest at the third gap type. Same word, different meaning is the most damaging kind — it makes conversations feel productive while both sides talk past each other.
- Actually run the section 6 test. Positioning adopted without a falsification attempt is a preference, and it will be re-litigated every quarter.
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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.