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Scroll your website.
See what stands out.

The Chrome extension lays a predicted attention map over the page you’re on and updates it as you scroll.

Chrome on desktop. Free scans to start, then email verification. Screenshots are processed on the server.

Readout of the viewPosition 0%
Attention
9/100
Focus
68/100
Hierarchy
50/100

Strongest zoneCentre left

Computed on the map in view as the page scrolls. Metric definitions

fieldnote.exampleHeatpoints
Fictional Fieldnote landing page, top to bottomUNISAL attention prediction for the whole page
Fictional page. The map is a real UNISAL prediction of the whole page, shown as it scrolls.
Model
UNISAL, published at ECCV 2020
Weights
Fine-tuned on MIT1003 eye-tracking data
Long pages
Read in overlapping windows, not squeezed
Your site
No tracking script to install

An image to test? Start here.

No extension needed for a first look. Drop a landing page, an ad or a thumbnail and read its predicted attention.

An overlay you can slide
Drag across the image to compare the original with its predicted attention.
A score out of 100
Attention, hierarchy and focus combined, the same score Championship ranks by. A summary of the map, not a click forecast.
A PNG to share
Download the overlay for a design review or a ticket.
A ranking for several files
Drop two or more images and Championship compares them with the same model.
How the Chrome extension works
Image analysisUNISAL v1, eye-tracking weights
Real UNISAL heatmap over a sample landing page
original
◂▸
originalpredicted attention

Demonstration on a fictional page. Heatmap calculated with UNISAL.

Several variants to compare? Drop them all at once, the Championship ranks them.

From a first impression to your next revision.

One fictional thumbnail, run through the model twice. The maps and numbers are real UNISAL output, not illustrations.

  1. Fictional room-design thumbnail used as the input
    1

    Bring the image people will see

    Export the final composition, text and background included. Then write down what should stand out.

  2. UNISAL prediction on the thumbnail: the headline is the warmest area
    2

    Read the map against that goal

    Here the headline takes most of the predicted attention and the room stays cold. A warm area only helps if it is the part you meant.

  3. Prediction on the same thumbnail with a smaller headline
    3

    Change one thing, then run it again

    A smaller headline did not bring the room forward. That is useful too: the next revision should try something else.

A better score, the same problem.

Hierarchy rises from 23 to 66 and the score from 32 to 42, because one element now dominates more clearly. That element is still the headline, and the room still gets almost nothing.

Read the map first. The number summarises it, it does not judge your intent.

Fictional designs. Inputs, maps and metrics are published with their hashes. View the provenance

Metrics of steps 2 and 3, out of 100
MetricStep 2Step 3
Score32/10042/100
Attention53
Focus5649
Hierarchy2366
Coverage6%4%
Strongest zoneCentre leftTop left

Different formats. One question: what gets noticed?

Give each design a clear job. Then check whether its visual hierarchy supports it. Every example below is a real prediction on a fictional design.

Your headline or your decoration?

A beautiful page can still send attention to the wrong place. Check whether your promise and main action stand out from everything around them.

Before you publish, look for…

The headline is easy to notice
The main action has room to stand out
Decorative elements support the message

Start with a screenshot of the first screen, then examine the rest of the page.

Test this on my image
Prediction on the first screen of a fictional landing page
OriginalPredicted attention
In this fictional page, the headline takes the strongest region. The product preview on the right stays cool.

Read the difference, not just the rank.

Version B shrinks the headline and moves the product name and action up. Championship runs both through the same model and ranks them.

Here, A ranks first. Yet B puts the action inside a warm region, which was the point of the change. The score summarises the whole map. Your goal decides which version goes in front of people.

Championship metrics for both versions
MetricAB
Score56/10049/100
Attention54
Focus6155
Hierarchy8778
Coverage6%5%
Strongest zoneTop leftTop left
Compare my variants
Version A56/100
Version A of a fictional headphone ad with its attention map
Version B49/100
Version B: smaller headline, product name and action moved up
Fictional ad. Scores are computed by the model, not a forecast of clicks.

What 93 public websites look like to the model.

We ran the same model on 93 captures of public websites and published the aggregate data. Most scores sit between 20 and 59, and none reaches 80.

website captures analysed
93
median score out of 100
41
highest score in the set
78
strongest zone outside the top third
75/93
Number of captures per score band. The darker bar holds the median. Model outputs, not visitor measurements.

A prediction you can question.

Heatpoints uses UNISAL, a visual saliency model published at ECCV 2020. It gives you an estimate of attention, not a recording of an individual’s gaze.

Grayscale saliency map returned by the model for the fictional adWhat the model returns
The same map coloured over the adWhat you see
The model returns a grayscale map at the size of the image. Colours are applied afterwards and are relative to that image only.
Explore the science

Useful for

Spotting visual competition and discussing hierarchy before publishing.

Not a measure of

Comprehension, purchase intent, actual clicks or the order of eye fixations.

Trained on

Eye-tracking and attention datasets. The version used here is fine-tuned on MIT1003, where participants freely viewed natural images.

Next step

Validate important decisions with people, in the real context of your page.

Start with the image you’re working on.

No sales call. See a prediction, decide what to adjust, and go back to creating.

The image tool

Free to try

Upload an image, explore its attention map and download the result. Usage limits apply.

Analyse my imageCompare several images

For the next stage

More tools for creative teams are in preparation. Features and prices will be announced when they are available.

ChromeAvailable

No paid plan is on sale today.

Good questions. Straight answers.

Know what the map tells you. And what it doesn’t.

Read about the model
Is this real eye tracking?

No. Heatpoints predicts visual attention from an image using UNISAL. It does not record a person’s eyes. Use it to form design hypotheses, then validate important decisions with real people.

Can I try it without an account?

You can start with the free image tool. Usage limits apply. The Chrome extension asks for email verification after its initial free scans. The tool shows you when your allowance is reached.

What does the Chrome extension capture?

The visible part of the tab you choose, and only once you activate it. The overlay follows scroll and resize, and it works on pages behind a login. Captures are sent to the server to calculate the map.

Are my images processed on my device?

No. Uploaded images and Chrome captures are sent to the server to calculate the attention map. Check the privacy policy before analyzing confidential material.

Can I compare several designs?

Yes. Championship compares multiple images using the same analysis. Open it directly or choose several files in the image tool. Keep the format and purpose comparable to make the results useful.

Will a warmer heatmap mean more sales?

Not necessarily. Attention does not measure comprehension, preference or intent to purchase. A decorative element may attract attention without helping your message. What matters is where attention goes relative to your goal.

Is the Figma plugin available?

Not yet. For now, export your frame as an image and analyze it on the website. The Chrome extension is available for browser pages.

You’ve looked at it a hundred times. Look at it differently.

Add to Chrome

Your next revision starts with a different perspective.