**Calculate the Usability Score:**

Prompt
**Calculate the Usability Score:**

Use the responses from the columns **"[Column with click data for action 1]"**, **"[Column with click data for action 2]"**, **"[Column with click data for action 3]"**, and any additional success score columns in the attached CSV to calculate the Usability score using the following formula:

- **Success Score** = (% of participants who clicked in a hotspot on the page) ÷ (number of responses)
- **Usability Score** = average of at least three Success Scores

After calculating the Usability 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, provide clear, actionable suggestions for how the Usability score could be improved for this [product/page description]
Sample output
Here’s your Usability Score computed from the CSV you just shared.

What I measured

I treated each “Hotspot” column as a success check for that page/step. A non-empty value in a hotspot cell counts as a click (success); blank/“nan”/“no clicks”/“[]”/“0” count as no click.

Per-section Success Scores

Section 2 Hotspot: 92 / 100 → 92.0%

Section 3 Hotspot: 90 / 100 → 90.0%

Section 4 Hotspot: 85 / 100 → 85.0%

(Also present: Section 5 Hotspot with 0/100. This looks like an inactive/unconfigured task—see note below.)

I used Sections 2, 3, and 4 (the requested trio) to compute the composite.

Usability Score
Usability
=
92.0
%
+
90.0
%
+
85.0
%
3
=
89.0
%
Usability=
3
92.0%+90.0%+85.0%
	​

=89.0%

Scale placement: Good (70–89%)

Note: The file also contains “Section 5 Hotspot” with 0%. Because it appears inactive (no clicks from any participant), I did not include it in the composite to avoid skewing the score with a non-task. If you confirm Section 5 was an active task, I can include it and recompute.

I’ve dropped two tables in the workspace for transparency:

Hotspot success scores (all detected)

Selected sections used for Usability Score
…and a bar chart comparing section scores.

How to improve usability on the e-commerce clothing PDP

Your weakest step is Section 4 (85%). Focus on “can I act quickly with confidence?” while keeping earlier steps strong.

1) Make the key action unmissable and one-tap

Sticky Add-to-Cart bar (on scroll) with size selector inline; disable until size chosen and show a clear prompt.

Promote the primary CTA (consistent color reserved for ATC; secondary actions—save/share—visually quieter).

Immediate feedback after click (mini-cart drawer with item, size, price, delivery ETA).

2) Remove sizing/fit hesitation (top PDP drop-off cause)

Size guidance next to the size grid: “Most customers your height/weight chose M” + link to “What’s my size?”

Fit signals from reviews (“True to size: 78%”; “Runs small” badge if applicable).

Allow free/fast return cues right beside size selection (“Free 30-day returns”).

3) Answer shipping & price questions in-place

Delivery promise near the price (“Arrives by Tue, Free over $50”) with postcode input for exact ETA.

Show final price clarity (auto-applied promo codes, tax/shipping preview before cart).

4) Improve product media to reduce back-and-forth

Quick-zoom on hover/tap, alt angles, and on-model video (5–10s, muted & captioned).

Clear color swatches with live image swap and a text label (“Sage Green”).

5) Keep exploration short and focused

Group details under accordion sections (Fabric, Care, Fit) with the most-asked info expanded by default.

Add compare/“Complete the look” below the fold, not between size & ATC.

6) Accessibility & performance (fewer missed clicks)

Hit targets ≥ 44×44 px, visible focus rings, semantic buttons, descriptive ARIA labels.

Lazy-load below-the-fold media; prefetch hero image variants for snappy color switching.

7) Validate the lift

Define success as Section 4 Hotspot ≥ 92% (match Section 2–3) and overall Usability ≥ 92% (Very Good).

A/B test: sticky ATC on vs. off; size guidance on vs. off. Track click-thru to ATC, time-to-ATC, and the hotspot success rate.