The research objective for an Attention Heatmap study tells the platform what visual question you are trying to answer. You are not exploring opinions or reactions — you are identifying where attention goes, in what order, and whether the right elements are getting noticed.
A clear objective ensures the report is framed around your actual business question, making the findings easier to act on.
What a Good Attention Heatmap Objective Covers
1. What asset is being tested Be specific — name the asset type and context. "Instagram feed ad for the Maple summer range" is better than "a creative."
2. What you want to find out about attention Define the specific visual question. For example:
Are viewers noticing the CTA?
Is the logo getting attention before viewers leave the frame?
Are the product visuals drawing more focus than the headline?
Does attention differ between two audience segments?
3. What decision it informs State why this matters — for example: to inform final layout selection, to decide whether to reposition the CTA, or to choose between two packaging designs.
Objective Template
Evaluate [asset description]. Identify which elements attract the most attention, where focus is lost, and whether [specific element — e.g., CTA, logo, headline, product visual] receives sufficient visibility. To inform [decision].
Always include: what asset is being tested, the specific element(s) you want attention checked on, the decision it informs.
Example
❌ Weak: "Test this packaging design."
No specific element to focus on and no decision to inform — the heatmap output will be difficult to act on.
✅ Effective: "Evaluate this e-commerce product page banner for the Maple breakfast range. Identify whether the product name, price point, and CTA button receive sufficient attention, and whether the eye is drawn to the correct areas in the right order. To inform final banner layout before launch."
Tips
One image, one question. Each heatmap study tests one asset. Keep your objective focused on that specific asset — don't try to ask multiple unrelated visual questions in a single study.
Check asset quality before uploading. Blurry or low-resolution images produce unreliable attention predictions.
Use contrastive heatmap studies when audience differences matter. If you want to know whether attention patterns differ between segments, select two communities and frame your objective to reflect the comparison. How to do a contrastive heatmap study
Follow up with an FGD. Heatmaps tell you where attention goes. Auto-FGD or Self-Managed FGD tells you why. Use them together for deeper insight. Choosing the Right Tool