experimental front

200+ tech personas react to your product, on purpose.

duckyarmy lab points our LATAM synthetic persona library at things that aren't e-commerce: B2B SaaS, developer tools, internal dashboards, anything where the user is a tech-pro and the question is "would they bother".

how it works

Three steps. Same engine as retail.

  1. You describe the product

    What it does, who you think uses it, what task should "work" when they land. We pick the audience tag (tech-pro, design-leaning, ops-leaning, etc.).

  2. We select personas from the library

    Right now: 200+ tech-leaning personas across CL, AR, PE, CO, MX, BR. Devs, designers, PMs, data folks. Each one has backstory, region, occupation, NSE.

  3. They evaluate. You get a report.

    Each persona walks your flow (Playwright or screenshots). Output: scores by dimension, verbatim soundbites, where they would abandon and why. Markdown export.

currently testing

First subject: a monitoring tool.

in progress

duckyguard.com — synthetic uptime & transaction monitoring

200+ tech-leaning personas from the library will evaluate duckyguard's landing and signup flow. We're looking for: does the value prop land for a real-world dev/devops/SRE, or does it sound like SaaS template noise.

Sample report goes here once the eval finishes. — duckyarmy lab, run #001
audience: tech-pro-latam pool: 219 personas

Got a product that isn't retail and you want it stress-tested?

Email kinquela@gmail.com