What it does
You bring client records; PersonaLens builds one persona agent per customer segment. Describe a strategic move, and every agent answers in character: an opinion in its own words plus a satisfaction rating. Compare moves side by side and commit to the direction your customers already voted for.
Skills in this package 1
- personalens
Preview customer reaction to a strategic move before committing. Builds one persona agent per customer segment from the user's client records, has every agent answer in character with an opinion and a 0-10 satisfaction rating, and compares moves side by side. Use when the user wants to test a pricing change, positioning shift, feature cut, or any strategic move against likely customer reaction.
Certification Demo dataqc-0.9 · 2026-09-24 · per version
Sample report showing the planned checks. The certification runner is not built yet; these checks have not been executed. Sample score 8.5 of 10.
| Check | Result | Detail |
|---|---|---|
| Install integrity | PASS | Installs cleanly on Claude, ChatGPT, Kimi |
| Runtime smoke | PARTIAL | 11 / 12 scenarios |
| Prompt-injection scan | PASS | 0 of 24 seeded attacks landed |
| Claims verification | PASS | Listing claims reproduced on the reference dataset |
Reviews 3 · average 8 of 10Demo data
Ran our seat-price restructure past four segments before the board meeting. The enterprise-admin persona flagged the exact objection our largest client raised two weeks later.
Built personas from 2 years of POS and survey exports in an afternoon. Satisfaction spread across segments told us which tier to cut.
Good directional signal, but our compliance-heavy segment needed more record context than the default importer keeps. Workaround in the discussion thread.
Discussion 3 threadsDemo data
Best way to build personas from messy CRM exports?
Deduping contacts before segmenting changed my satisfaction spreads a lot…
Can uploaded records prompt-inject the persona agents?
Cert report says 0/24, but here is how the scan works and what it does not cover…
Using PersonaLens for GTM messaging, not just strategy moves
Scoring three landing-page value props against segments worked surprisingly well…