Persona Runner: AI-Powered UX Testing Platform
Mphasis · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Persona Runner is a persona-driven UX testing and reporting platform that orchestrates AI browser agents to simulate real user personas on any live web interface. Built for accessibility conscious development teams and QA engineers, it evaluates websites through the lens of an Elderly User (limited dexterity, large fonts preference), a Color-Blind User (contrast sensitivity), a University Student (speed-focused, multi-tab), and a Cognitive/Dyslexic User (plain language, clear navigation). Each persona is configured with defined abilities, frustrations, interaction patterns, and success goals delivering qualitative and quantitative UX insights that traditional automated tests cannot provide.
Key Features and Benefits:
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- AI-powered persona simulation using browser-use and OpenAI, executing realistic multi-step journeys on live production or staging websites with zero code changes required on the target site
- Automated evidence capture: screenshots at each interaction step, raw interaction logs, and structured per-persona UX metric scores
- AI-generated findings reports served through a clean React + Tailwind SPA dashboard, with severity-ranked issues and actionable recommendations
- Side-by-side comparative run analysis across multiple personas or successive deployments, enabling UX regression detection in CI/CD workflows
- Server-Sent Events (SSE) streaming for live run output and a full REST API for programmatic integration with existing toolchains
Highlights
Highlighted by the publisher on AWS Marketplace.
AI persona simulation drives real browser sessions as Elderly, Color-Blind, Student, and Dyslexic users, surfacing accessibility barriers and UX friction on any live website, without modifying the target site.
Automated evidence capture and AI-generated reports: each persona run records screenshots, interaction logs, and accessibility metrics, delivered as severity-ranked findings in a clean React dashboard.
Side-by-side comparative analysis across multiple UX test runs lets teams spot persona-specific regressions and cross-run accessibility gaps, with REST API and live SSE streaming for CI/CD integration.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
We currently do not have a refund policy. For further details regarding production and costs, please get in touch with the Mphasis NEXT Labs team on the below provided URL : https://www2.mphasis.com/AWS-Marketplace-Support-LP.html
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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