afrexai-ux-research-engineComplete UX Research & Design system — user discovery, persona building, journey mapping, usability testing, research synthesis, and design validation. Zero...
Install via ClawdBot CLI:
clawdbot install 1kalin/afrexai-ux-research-engineGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://afrexai-cto.github.io/context-packs/Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
An online retailer wants to reduce cart abandonment by improving the checkout flow. The UX Research Engine helps plan usability testing with 8 participants to identify friction points, followed by A/B testing of design variants to validate improvements.
A health tech startup needs to enhance user adoption for a new patient portal. Using the engine, they conduct user interviews with 12 diverse patients to understand barriers and create personas, then perform concept testing on low-fidelity prototypes.
A B2B software company aims to simplify navigation in its analytics dashboard. The engine guides them through card sorting with 20 users to restructure menus and tree testing with 50+ users to validate the new IA before development.
A bank wants to introduce a new budgeting tool within its app. The engine supports generative research via contextual inquiry with 6 users to observe financial behaviors, followed by diary studies with 10 users over 4 weeks to track usage patterns.
An edtech firm seeks to improve engagement on its learning platform. Using the engine, they perform a heuristic evaluation with 4 experts to identify UI issues, then conduct usability testing with 5 teachers and 5 students to prioritize fixes.
Agencies or freelancers use the engine to offer structured UX research packages to clients, such as a 4-week usability study or persona development, charging project-based fees ranging from $5,000 to $20,000 depending on scope.
Product teams at mid-sized companies integrate the engine into their design process to standardize research, reducing reliance on external consultants and speeding up decision-making, with cost savings from avoided agency fees.
Trainers leverage the engine to teach UX research methodologies in corporate workshops or online courses, generating revenue through enrollment fees or subscription access to advanced templates and guides.
💬 Integration Tip
Start by using the decision tree to select the right method for your project, then fill out the research brief YAML to align stakeholders before recruiting participants.
Scored Apr 22, 2026
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