Democratizing Eye Tracking Analysis

We’re developing Perceptual.AI, a tool for automated eye tracking data processing and visualisation – designed for researchers, UX professionals, and anyone exploring gaze data without coding.

Please help us by answering a few quick questions. You can get early access to our prototype and exclusive insights

1. Do you (or your team) analyze eye‑tracking data?

Yes, regularly

Yes, occasionally

Other

2. Which description fits you best? (Pick the single best match.)

We analyze eye‑tracking data in Python/R, but every new study means lots of re‑scripting & debugging time.

We collect eye‑tracking data but have little/no programming skill, so we rarely get beyond raw files.

We’d like to do eye‑tracking, but cost or lack of know‑how has stopped us so far.

We want to apply modern AI/ML models (e.g., auto‑label, predictive AOIs, multimodal) at scale to eye‑tracking data.

Other / not sure

3. Where do you primarily work?

University / academic research lab

Company (UX / product / marketing / R&D)

Agency / service provider

Clinical / medical

Student project / thesis work

Other

4. How many eye‑tracking studies does your team run per year?

0-1

2-5

6-10

> 10

Other

5. Time from raw export to first usable visualization (heatmap / gaze plot)?

< 1 hour

1-4 hours

1 workday (~8 h)

2-5 days

> 1 week

varies a lot

6. Frustration level with your current eye‑tracking analysis workflow.

7. What hurts the most right now? (Choose one min.)

Cleaning / formatting data files

Mapping participant IDs

Detecting / filtering bad or missing samples

Scripting / automation burden

Visualization / reporting

Lacking AI‑level analysis (ML models etc.)

Other

8. Which steps would you MOST like to automate? (Select up to 3.)

File integrity / format checks

Participant ID mapping

Detecting problematic / missing data columns

Cleaning / filtering low‑quality gaze samples

Generating basic visualizations (heatmap, gaze plot)

Exporting summary stats / reports

Applying AI/ML models (predictive AOIs, auto‑label, multimodal)

Other

9. If Perceptual Intelligence were offered as a cloud service, how would you prefer to pay?

Monthly subscription (cancel anytime)

Annual subscription (discount)

Per study / usage credits

Institutional / campus license

Not sure

Other