Fred

Hey Product Hunt 👋 I’m Imre, founder of Fred. We originally built Fred to solve a problem I kept seeing in UX research: teams were collecting more and more evidence, but the workflow around that evidence was fragmented. Planning lived in one tool, recruitment somewhere else, testing in another platform, analysis in spreadsheets or docs, and reporting became a slow manual process. This second launch is a big step forward for us. Fred now includes full AI orchestration across the research workflow. The goal is not to replace researchers, but to remove the operational drag around research so teams can move faster while keeping control over method, interpretation, and decisions. What’s new in this launch: • AI-orchestrated UX research workflows • Real-time and replay-based eye tracking • Gaze data and heatmap-ready session analysis • Broader support for research methods • Faster pattern detection and reporting • A more complete workspace for research teams, product teams, and agencies We believe UX research should be easier to run, easier to analyze, and easier to turn into decisions. Fred is our attempt to make that happen without reducing research to shallow AI summaries. I’d love your feedback, especially on where AI should help researchers most and where it should stay out of the way.

<p>The eye tracking plus behavioral replay angle is what separates this from tools that just analyze transcripts. The real test is where the AI draws the line between surfacing a pattern and flagging it as friction. How do researchers override or challenge those interpretations when the AI gets it wrong?</p>

<blockquote><p>Behavioral UX + AI orchestration is such an underrated combo. Curious how accurate the intent tracking gets over longer sessions.</p></blockquote><p></p>