Personas
# Output: Personas
**When:** the goal is segments/personas from a series of interviews. You need ≥5 interviews, otherwise a persona = a stereotype.
**Input:** nuggets (with role/segment) → clustering by segment, not by theme.
## Grounding rule
A persona is not fiction, but an aggregate. Every persona attribute rests on ≥k different interviews with a verified quote.
One vivid respondent ≠ a persona. Mark `[weak: n<k]` if data is thin.
## Persona formatwhen to use it
Community prompt sourced from the open-source GitHub repo Socialpranker/interview-mapper (MIT). A "Personas" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
careercommunitygeneral
source
Socialpranker/interview-mapper · MIT