PRISM gives AI agents the ability to generate professional personas, journey maps, interview synthesis, and usability test plans — grounded in real research methodology, not generic AI output.
Works with Claude Code, Cursor, Windsurf, Codex CLI, and more.
Most AI tools generate UX research that looks right but falls apart the second a stakeholder asks "where did this come from?" No evidence ratings. No assumption labels. No connection between findings and recommendations.
PRISM fixes that. It's a skill that teaches AI agents how to think like a senior UX researcher. Not just what to output, but how to structure evidence, when to flag assumptions, and where to connect insights to design decisions.
3–5 research-backed personas with goals, behaviors, pain points, motivations, context of use, and design implications. Behavioral archetypes — not demographic stereotypes. Every persona comes with a comparison matrix.
Phase-by-phase experience maps that capture what your user thinks, feels, and does across every touchpoint — including the ones you don't control. Emotional arcs and prioritized opportunities ranked by impact and effort.
Paste raw interview notes. Get structured findings. Every finding has an evidence strength rating, direct participant quotes, and a design implication. No more spending three days turning notes into a research readout.
Complete test plans with research questions tied to design decisions, plain-language task scenarios, behavioral screener criteria, quantitative and qualitative metrics, and realistic timelines.
Raw interview notes, survey data, analytics summaries, or just a product brief. PRISM adapts to your input fidelity and labels assumptions when data is thin. Got 6 user interviews? PRISM synthesizes them. Only have a brief? PRISM tells you exactly what to validate first.
PRISM isn't a monolithic prompt. It's a lean skill file that delegates to 6 reference guides — persona, journey map, interview synthesis, test plan, financial services, and quality checklist. Each guide can be extended independently.
Financial services design is different. Users are trusting a screen with their money. Generic UX research misses the anxiety before a large transfer, the trust that erodes when KYC feels invasive, the 70% abandonment during poorly designed onboarding.
Activate it by mentioning financial products in your prompt, or by saying "include the financial services layer."
Personas: Financial literacy, risk tolerance, trust signals, security expectations, financial anxiety profiles.
Journey Maps: Trust arc tracking, compliance friction, cognitive load ratings, financial anxiety triggers.
Synthesis: Financial anxiety codebook, trust evidence framework, compliance perception themes.
Test Plans: KYC tasks, transaction security scenarios, error recovery flows, trust metrics.
For a 64% quality improvement, +33 seconds is a trade worth making every time.
| Quality Signal | With PRISM | Without |
|---|---|---|
| Research-standard template structure | ||
| Evidence strength ratings | ||
| Participant numbers (not names) | ||
| Assumptions labeled | ||
| Jargon-free task scenarios | ||
| Financial services depth | ||
| Prioritized recommendations | ||
| Behavioral persona distinctions |
19+ years solving one problem: getting people to trust screens with their money. I still design. I still research. And I built PRISM because I believe the best UX research should be accessible to every team — not just the ones with a six-figure research budget and a dedicated ResearchOps function.
Open source. Free. MIT licensed. Works with Claude Code, Cursor, Windsurf, Codex CLI, and any AI assistant that supports the Agent Skills specification.