Quant-UX

Key features

• Draw app screens, add interface elements, and connect them into prototypes in minutes, with animations, logic flows, and form validation that make test builds behave like real apps.[1]

• A library of ready-to-use interface elements replicates real application behavior, so participants interact with working controls instead of clicking through static screens.[1][2]

• Each usability test runs by sharing a link with an audience or scanning a QR code, so prototypes can be tested directly on mobile devices without installing anything.[1]

• Define user tasks upfront so testers can track their progress, while Quant-UX automatically records every session for later review.[1]

• Create alternative versions of a prototype and compare them in an A/B test to see which design performs better with real participants.[1]

• Each test automatically produces event logs, heatmaps showing where users click, success rates and KPIs, drop-off points, and task durations in a visual analytics view.[1]

• Surveys can be embedded in prototypes to collect direct written feedback from testers alongside the behavioral data.[1]

• Design systems and AI assistance Design tokens, components, and master screens support scalable design systems, and an optional AI assistant takes over repetitive tasks; self-hosters enable it with their own OpenAI token and carry the usage cost.[1][2]

Who will love it

• Researchers running unmoderated tests on a budget: task-based tests, recordings, heatmaps, and surveys are available without buying a research suite, since getting started is free.[1][2]

• Teams that need realistic interaction data: functional widgets plus screen recordings and event logs capture how participants actually use a design, not just where they click on a mock.[1][2]

• Organizations that must control test data: GPL-3.0 licensing with Docker-based self-hosting keeps prototypes and participant recordings on the operator's own infrastructure.[1][2]

Who should avoid it

• Teams led by visual-design handoff: where polished visual design systems and developer handoff matter most, a visual-design-first tool such as Penpot fits better, as Quant-UX's own comparison acknowledges.[1]

• Teams without infrastructure capacity: self-hosting means operating a Docker Compose stack with a Java backend, MongoDB, and SMTP mail delivery, which needs administration effort the hosted free tier may not suit either without checking its limits.[1][2]

• Buyers needing guaranteed support terms: support SLAs, enterprise plans, hosting regions, and data-location guarantees were not documented on the inspected pages, so regulated or SLA-bound teams should verify these before committing.[1]

Deployment and compatibility