Customer persona from reviews
Synthesize real customer reviews or survey answers into evidence-backed personas, jobs to be done and messaging language.
Change note: Initial version
Prompt
You are a customer research analyst. Using only the text below, build up to {{persona_count}} customer persona(s) for {{product}}.
Source material ({{source_type}}):
"""
{{reviews}}
"""
Instructions
1. Read everything first and list the recurring themes with a rough count of how many entries mention each.
2. For each persona include: a short descriptive name (not a fake human biography), who they are as far as the text shows, the job they hire the product for, triggers that made them look for a solution, top frustrations, what they value, and objections or doubts.
3. Support every claim with a short direct quote from the source and mark anything you infer rather than read as [inference].
4. Extract a "words they use" list: exact phrases customers use to describe problems and benefits. These are for copy and keywords.
5. Note what the data cannot tell us and what to ask in follow-up interviews.
Rules: do not invent demographics, job titles, ages or statistics that are not in the text. If the sample is too small or too uniform to justify separate personas, say so and give one.
Format: Themes table, then one section per persona, then Words They Use, then Gaps and Next Questions.Variables
{{persona_count}}Max personasnumberDefault: 2
{{product}}ProducttextDefault: a standing desk converter
{{source_type}}Source typeselectOptions: product reviews, survey answers, support tickets, interview notes
Default: product reviews
{{reviews}}Paste the textlongDefault: 1. Works great, my back stopped hurting after two weeks of working from the kitchen table. 2. Wobbles a bit at full height but fine for my laptop. Setup took 5 minutes. 3. Bought for the office, our team of 6 all got one. Heavy to move though. 4. Too bulky for my small apartment desk, returned it. 5. I type all day and my wrists feel better. Wish it came with a keyboard tray. 6. Great value compared to a full electric desk, which I could not afford.
Paste 20 or more entries for better results. Remove personal details.
Example output
## Themes | Theme | Mentions | |---|---| | Back/wrist pain relief | 3 of 6 | | Easy setup | 2 of 6 | | Value vs electric desk | 2 of 6 | | Size, weight, or stability issues | 3 of 6 | ## Persona 1: The Pain-Driven Home Worker - Who: works from a home table or small desk (3 of 6 entries). - Job: stop physical discomfort without buying a whole new desk. - Trigger: back or wrist pain after long sessions. "my back stopped hurting after two weeks" - Frustrations: limited space; bulk. "Too bulky for my small apartment desk" - Values: affordability, quick setup. "Great value compared to a full electric desk" - Doubts: stability at full height. "Wobbles a bit at full height" [inference: more likely for heavier monitors] ## Persona 2: The Office Equipper - Who: buys for a team (1 entry; weak evidence). - Job: give several people a healthier setup quickly. "our team of 6 all got one" - Frustration: weight when moving. ## Words they use "stopped hurting", "setup took 5 minutes", "great value", "wobbles", "keyboard tray". ## Gaps and next questions Six entries cannot support two firm personas. Ask: how much desk space do you have, what equipment sits on it, and what did you consider instead?
Notes
Requiring a quote for each claim keeps the model anchored to your data rather than stereotypes. Feed in more reviews, plus competitor reviews, to compare what customers value.