Fred review
A web research platform combining directional gaze capture with AI-assisted synthesis.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Fred is a web-based user research platform for product, research, design, agency, and enterprise teams running remote, unmoderated usability studies. Its eye-tracking feature uses a compatible laptop or desktop webcam to estimate participant gaze, with guided calibration and a separate eye-tracking consent option. Timestamped gaze points appear alongside task activity, screen recordings, participant responses, and session replay, giving teams one workflow for reviewing usability behavior. Fred is best suited to teams that want directional gaze evidence and AI-assisted synthesis without dedicated eye-tracking hardware.
The standout feature is the combination of webcam gaze capture and session context. Fred can replay gaze focus and the recent gaze trail with the recording, while connecting those observations to tasks and participant responses. That context can help researchers interpret where attention moved during a usability task rather than reviewing gaze points in isolation. The platform also includes AI-assisted research synthesis and reporting. Fred positions webcam eye tracking as directional evidence for human review, not laboratory-grade measurement, so teams needing highly controlled measurement should consider a more specialized approach.
Fred offers paid Startup, Researcher, Team, and Enterprise plans. Startup includes 5 seats, 1 project, 1 study per project, and 1 GB of storage; eye tracking is not included. Researcher raises the limits to 15 seats, 5 projects, 10 studies per project, and 15 GB of storage, while also excluding eye tracking. Team includes 25 seats, 15 projects, 30 studies per project, 50 GB of storage, and eye tracking. Enterprise adds custom limits, SSO and advanced security, multi-team rollout support, and eye tracking. Teams should choose Fred when remote usability research, contextual gaze review, and synthesis are priorities; those seeking laboratory-grade eye tracking or a non-web workflow should look elsewhere.
Fred pros and cons
- Where it wins
- Captures webcam gaze without dedicated eye-tracking hardware
- Combines gaze replay, tasks, recordings, and responses
- Adds AI-assisted research synthesis and reporting
- Where it doesn't
- Eye tracking is limited to Team and Enterprise plans
- Webcam gaze provides directional rather than laboratory-grade evidence
- The workflow is web-based and requires a compatible computer webcam
Fred fact sheet, pricing and score →
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