Calculate the Success Score:
Use the responses from the column "[Column with participant clicks]" in the attached CSV to calculate the Success score using the following formula:
Success Score = (# of participants who clicked in the right place in [Column with participant clicks]) ÷ (total number of participants)
After calculating the Success score, report where it lands on the following scale:
Very Good = above 90%
Good = 70–89%
Average = 50–69%
Poor = 30–49%
Very Poor = 0–29%
Next, analyze the responses in the column "[Column with qualitative explanations]" in the CSV to identify common themes and provide clear, actionable suggestions for how the Success score could be improved.
Here’s your Success Score from the CSV (column: Section 1 Hotspot).
📊 Calculation
Total participants (N): 101
Clicked in hotspot: 85
Did not click: 16
Success
Score
=
85
101
=
84.16
%
Success Score=
101
85
=84.16%
Scale placement: Good (70–89%)
Notes: I treated clearly empty values (blank/“nan”/“no clicks”/“[]”/“0”) as no click; any other non-empty value in Section 1 Hotspot counted as a click. A simple bar chart and a summary table are shown in the workspace.
💬 Qualitative review
I looked for a free-text column and used Section 1 Explanation. In this file it’s essentially empty, so there aren’t qualitative themes to summarize from participants for Section 1.
🔧 How to lift Success into “Very Good” (>90%)
Even without text feedback, these are the highest-leverage, low-risk changes for hotspot success:
Make the hotspot unmistakable
Size ≥ 44×44px; add clear hover/focus/active states.
Add a gentle pulse or outline on first view; include a short hint like “Tap to explore”.
Strengthen information scent near the hotspot
Place verb-led microcopy next to it (e.g., “See program details”, “Preview in 20s”).
If it opens content, show a one-line payoff: “What you’ll get: 3 bullets.”
Optimize placement & spacing
Move it into the primary visual path (upper center/left on desktop, top third on mobile).
Add whitespace around it; avoid competing links/buttons nearby.
Reduce friction after the click
Prefer inline reveal or a fast, lightweight modal over a page load.
Keep revealed content concise: a short header, 3 bullets, one primary CTA.
Fail-safe for non-clickers
Add a secondary affordance (e.g., a text link under the hero) for keyboard/screen-reader users.
Ensure full keyboard and screen-reader support (visible focus ring, ARIA label like aria-label="Open program details").
Measure & iterate
A/B test label + placement + motion; success metric = hotspot success rate.
Target: move from 84% → ≥92% by reducing non-clickers by ~8–10 participants (on a 100-person run).