What is Fred?
Fred runs the full UX research cycle without requiring teams to switch between tools. You plan studies, recruit and manage participants, conduct moderated or unmoderated sessions, and analyze behavioral data — all inside one platform. The AI orchestration layer coordinates each phase, automatically detects patterns across sessions, and surfaces findings without forcing analysts to manually sift through recordings. Real-time and replay-based eye tracking, gaze heatmaps, and session analysis give researchers behavioral signal that goes beyond self-reported data. Report building is integrated, so insights move from raw sessions to shareable evidence faster. Designed for teams that need research velocity without trading away methodological control — useful for product designers, UX researchers, and research ops professionals running recurring study programs.
What is Fred used for?
Product designers, UX researchers, and research-ops teams use Fred to run the full research cycle — planning, recruiting, sessions, eye tracking, and reporting — in one AI-orchestrated platform.
How much does Fred cost?
Pricing not published
Public pricing is not listed; check the site for current plans.
Pros and cons
Pros
• Runs the full UX research cycle without switching tools • Plan studies, recruit and manage participants, and run moderated or unmoderated sessions • Real-time and replay eye tracking with gaze heatmaps • AI orchestration detects patterns across sessions automatically • Integrated report building from raw sessions to shareable evidence
Cons
• Broad platform — more than teams running occasional one-off studies need • Behavioral features like eye tracking add setup considerations • Newer platform with a limited public track record
Questions about Fred
What is Fred used for?
Fred is an AI-orchestrated UX research platform. You plan studies, recruit participants, run moderated or unmoderated sessions, and analyze behavioral data — including eye tracking — all in one platform.
Does Fred include eye tracking?
Yes. It offers real-time and replay-based eye tracking, gaze heatmaps, and session analysis to give researchers behavioral signal beyond self-reported data.
How does Fred speed up research?
Its AI orchestration layer coordinates each phase, detects patterns across sessions automatically, and builds reports, so insights move from raw sessions to shareable evidence faster.
Who is Fred best for?
Product designers, UX researchers, and research-ops professionals running recurring study programs who need research velocity without giving up methodological control.
What are the best alternatives to Fred?
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