Webcam eye tracking, built into your usability tests.
Estimate where participants look during an unmoderated usability test using a compatible laptop or desktop webcam. Fred keeps gaze, the screen recording, task outcomes, and participant responses in one research workflow, without specialised eye-tracking hardware.
Webcam eye tracking provides directional evidence, not a substitute for laboratory-grade measurement. Results depend on calibration, camera setup, lighting, and participant movement.
Webcam eye tracking
What Fred's webcam eye tracking gives you
Fred estimates gaze points during unmoderated usability tests and replays them over the session recording. This helps researchers identify moments worth inspecting, such as a missed control, competing content, or attention that moved away from the intended path. The gaze signal stays next to the task, recording, and participant response, so it can be interpreted in context.
- Lower setup burden
- Add a gaze signal without requiring a dedicated eye-tracking device or laboratory setup.
- Session-level evidence
- Replay estimated gaze over the screen recording instead of reviewing it in a disconnected tool.
- Human interpretation
- Use gaze to find moments worth reviewing, not to claim what a participant understood, intended, or felt.
Why separate eye-tracking setups slow research down
The question is about attention. The setup should not become the study.
Teams often skip eye tracking because specialist hardware, lab scheduling, or a separate analysis platform adds cost and coordination to a usability test. Fred brings a practical gaze signal into the remote workflow the team already uses.
Extra equipment changes the operating model
A dedicated eye tracker can require hardware, controlled conditions, scheduling, and specialist setup before the first participant begins.
A separate tool breaks the evidence chain
Gaze data is harder to interpret when the task, screen recording, participant response, and study context live somewhere else.
Attention data becomes a standalone visual
A gaze signal is only useful when a researcher can return to the exact participant moment and inspect what else was happening.
The value is not a more impressive chart. It is one more source of evidence attached to the participant moment.
How it works
From participant consent to gaze replay in one usability workflow.
Enable eye tracking for an unmoderated usability test. Fred guides the participant through the required step, records timestamped gaze points during the task, and keeps them aligned with the session for review.
Set up
Enable eye tracking for the usability test.
Add webcam-based gaze capture to an unmoderated usability study inside Fred.
Consent
Let the participant make an informed choice.
Fred presents a separate eye-tracking consent option before gaze capture begins.
Calibrate
Complete the guided webcam calibration.
The participant follows the on-screen calibration flow so Fred can map estimated gaze to the screen.
Test
Run the tasks and capture gaze in context.
Estimated gaze points are timestamped while the participant completes the usability test and screen recording.
Review
Replay gaze with the session recording.
Review the gaze focus and recent trail over the recording, together with the task and participant response.
If a participant does not consent to eye tracking, do not present gaze data as part of that session.
Questions gaze can help you investigate
Use it to find the moments that deserve a closer look.
Webcam eye tracking does not explain why something happened on its own. It helps the researcher locate attention patterns and return to the surrounding evidence.
- 01
Did the participant look toward the control needed to complete the task?
- 02
Did competing content pull gaze away from the intended path?
- 03
Did gaze reach important explanatory content before the participant acted?
- 04
Where did gaze behavior and the participant's response appear to diverge?
- 05
Which task moments need deeper review in the session recording?
Treat each pattern as a prompt for investigation, not as proof of comprehension, preference, or intent.
Why it belongs inside Fred
Gaze is more useful when the rest of the study stays attached.
Fred adds eye tracking to the same workflow used to plan the study, run tasks, review sessions, and develop findings. The signal does not have to be exported into a separate research story before the team can use it.
01
Screen and task context
Review estimated gaze against the interface state and task the participant was working through.
02
Participant context
Keep the gaze trail close to the recording and the participant response that give it meaning.
03
A clearer review path
Use gaze to identify the session moments that deserve closer inspection during synthesis and reporting.
The Fred advantage
You do not need a separate eye-tracking workflow to add directional attention evidence to an unmoderated usability test.
Choose the right level of eye tracking
Use Fred when the research needs directional attention evidence inside a usability test.
Webcam eye tracking, specialist analysis platforms, and laboratory systems solve different problems. Fred is designed for practical remote usability research. Use a specialist or laboratory system when the decision depends on advanced fixation metrics, aggregate attention analysis, or controlled high-precision measurement.
| Criterion | Fred webcam eye tracking | Specialist webcam platform | Laboratory eye tracker |
|---|---|---|---|
| Best fit | Remote, unmoderated usability testing | Dedicated attention studies and specialist analysis | Controlled studies that require higher measurement precision |
| Participant equipment | Compatible laptop or desktop webcam | Usually a compatible webcam, depending on the provider | Dedicated eye-tracking hardware |
| Fred study context | Task, screen recording, response, and gaze stay in one workflow | Study and analysis live in the specialist platform | Context depends on the laboratory setup and connected research tools |
| Current analysis depth | Session-synced estimated gaze replay and calibration quality | May include heatmaps, AOIs, fixation metrics, exports, and aggregate analysis | Depends on the hardware and analysis suite |
| Interpretation | Directional evidence for human review | Specialist attention analysis | Controlled measurement for specialist research |
Fred is the right fit when adding useful attention evidence to the usability workflow matters more than running a specialist eye-tracking study.
Webcam eye tracking is available with Team and Enterprise.
Run eye tracking in unmoderated usability tests as part of the Team or Enterprise plan. The gaze signal stays inside the same Fred study and session review workflow.
Eye tracking is not included in Startup or Researcher.
Method boundaries
Use gaze as evidence, not as certainty.
Fred estimates gaze from webcam input. This makes eye tracking easier to add to remote research, but the result is not equivalent to measurement from a dedicated laboratory eye tracker.
Review AI Transparency for the wider boundaries of AI-assisted analysis in Fred.
Conditions affect quality
Calibration, camera position, lighting, screen setup, and participant movement can affect the estimated gaze signal.
Looking is not understanding
A gaze point does not prove that a participant read, understood, preferred, or intended something.
Context completes the evidence
Interpret gaze alongside the task, screen recording, participant response, and the researcher's review of the session.
Treat weak or inconsistent calibration as a reason to review the session cautiously, not as a result to explain away.
FAQ
Webcam eye tracking questions
Add attention evidence to your next usability test
See where the interface earns attention, and where it loses it.
Run an unmoderated usability study with webcam-based gaze capture, session playback, and task evidence in one Fred workflow.
No dedicated device
Use a compatible participant webcam instead of specialist eye-tracking hardware.
Evidence in context
Review gaze beside the recording, task, and participant response that give it meaning.