Siltumkartes simulators ģenerē prognozētu uzmanības siltumkarti jebkurai lapai balstoties uz UX pētījumu modeļiem.
Real eye-tracking heatmaps require expensive equipment, large participant pools, and weeks of testing. Heatmap Simulator provides an instant approximation based on decades of eye-tracking research. The Nielsen Norman Group's F-pattern research shows that users scan web pages in predictable patterns — starting from the top-left, reading horizontally, then scanning down the left side. Large headings, images, and interactive elements (buttons, links, forms) naturally attract more attention. The simulator uses these established patterns to generate a predictive heatmap overlay. Red zones indicate high predicted attention, yellow for medium, and green for low. While this isn't a replacement for real user testing, it provides an instant sanity check — are your key CTAs and important content in the high-attention zones? Is critical information buried in a low-attention area? The visualization helps you make data-informed layout decisions without waiting for user testing.
Uses established eye-tracking research patterns (F-pattern reading, Z-pattern scanning, visual hierarchy rules) to predict where users are most likely to focus their attention. Weights factors like element position, size, color contrast, and content type.
The heatmap overlay uses a red-yellow-green gradient: red for high predicted attention areas, yellow/orange for medium attention, and green for low attention. The gradient is rendered as a semi-transparent overlay directly on the page content.
Buttons, links, form inputs, and other interactive elements are automatically weighted higher in the heatmap calculation. These elements naturally draw user attention, and the heatmap reflects this with warmer colors around interactive zones.
Larger headings, hero images, and above-the-fold content receive higher attention scores. The heatmap shows how the visual hierarchy of the page guides the user's eye through the content flow.
Switch the heatmap overlay on and off with a single click to compare the original page design against the attention prediction. This A/B comparison helps you see whether key elements are positioned in high-attention zones.
The heatmap accounts for scroll depth — content above the fold receives significantly higher attention scores than content below. See exactly where the attention drop-off occurs as users scroll down.
Is your primary "Sign Up" or "Buy Now" button in a high-attention zone? The heatmap shows whether users are likely to notice it or scroll past. If it's in a green zone, consider moving it higher or making it more prominent.
Before launching a landing page, run the heatmap simulator to verify that the value proposition, hero image, and CTA are all in high-attention areas. Catch layout problems before real users encounter them.
Ensure the most important information appears in high-attention zones. If a critical disclaimer or feature comparison is buried in a low-attention area, users will miss it regardless of how well it's written.
See exactly where the predicted attention drops off as the page scrolls. Use this to determine what content absolutely must be above the fold and what can safely go below.
Use the heatmap as a visual aid during design reviews. Show stakeholders where predicted user attention falls on the current design — data-backed reasoning is more persuasive than subjective opinions.
Open the DevSuite Pro floating dock and click the Heatmap Simulator icon. The tool analyzes the page's element positions, sizes, and types.
A color-coded overlay appears on the page: red for high attention, yellow for medium, green for low. The overlay is semi-transparent so you can see the page content beneath.
Check whether your most important content (CTAs, key messages, value propositions) falls within red/orange high-attention zones. Identify critical content stuck in green low-attention areas.
Switch the heatmap on and off to compare the original design against the attention prediction. This helps visualize the relationship between layout choices and predicted user focus.
Use the insights to adjust content placement. Move important CTAs to high-attention zones. Use Move Element to prototype changes, then re-run the heatmap to see if the new layout improves attention distribution.
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