The mega-menu presents 20+ items across multiple categories, risking choice overload and decision paralysis for users.
CURRENT — 20+ items
scroll ↕ — this is the live page
⚠ Mega-Menu Choice OverloadThe mega-menu presents over 20 items across multiple categories, overwhelming users with too many choices. This choice overload can lead to decision …
RECOMMENDED — 7 items
Reduce menu itemsRemove duplicatesClear hierarchySingle Shop All
Navigation
Wildly Comfortable. Super Natural.
Explore our collections
New Arrivals
Shop All
Bestsellers
Men's Shoes
Women's Shoes
Men's Apparel
Women's Apparel
SHOP MEN / SHOP WOMEN
✓ Simplified menuReduced to 7 key items with clear hierarchy.
FixReduce the mega-menu to the top 5-7 items per category, focusing on the most popular and distinct categories. Remove duplicate entries and ensure a clear hierarchy with 'Shop All' as a single entry point. This simplification lowers cognitive load and helps users make quicker, more confident decisions. The streamlined menu also improves scanability, allowing users to find their desired category in under 5 seconds.
The mega-menu presents 20+ items across multiple categories, risking choice overload and decision paralysis for users.
Current state
h1: Wildly Comfortable. Super Natural.; cta: SHOP MEN / SHOP WOMEN; notes: Mega-menu with 20+ items, multiple subcategories, and repeated patterns (e.g., 'New Arrivals' appears twice).
Change
h1: Wildly Comfortable. Super Natural.; cta: SHOP MEN / SHOP WOMEN; notes: Reduce mega-menu to top 5-7 items per category, use clear hierarchy, and avoid duplication. Consider a 'Shop All' as a single entry point.
Acceptance criteria
GIVEN a first-time visitor on the affected page
WHEN the change is live
THEN Reduce mega-menu to top 5-7 items per category, use clear hierarchy, and avoid duplication. Consider a 'Shop All' as a single entry point,
with no regression at 375px and 1280px widths.
Tracking
event: cro_mega_menu_choice_overload on interaction with the
changed element; verify it fires in BOTH variants before opening traffic.
Success metric
conversion rate on the affected step
QA checklist
Chrome / Safari / Firefox · 375px + 1280px ·
keyboard reachable · screen-reader name present · no CLS introduced
Effort
Medium —
2-5 days
Test plan
299,882 visitors per variant
(95% significance, 80% power);
not testable at current traffic.
Rollback
Feature-flag the change; revert the flag if the primary metric
drops for 3 consecutive days.
annual visits × baseline conversion × relative lift × order value
= 2,160,000 annual visits x 2.10% conversion x 1.0-5.0% relative lift x $78 order value
The 1.0–5.0% relative-lift band is an assumption bounded by severity (High), not a prediction.
Why the range is conservative: Across 127,000 experiments, 12% produced a statistically significant improvement on the primary metric; a healthy programme win rate is 10-30%. Winning tests also overstate their true effect, so treat this as the prize if the change works — never expected revenue.
How effort is estimated
Bracket
Days
Typical scope
Low
0.5–2
copy, colour, labels, image swaps
Medium
2–5
layout shifts, form changes, new modules
High
5+
personalisation, funnel work, integrations
Assigned by matching the recommended change against these scopes; the estimate is a bracket, not a quote.
Sample size math
Two-proportion z-test, the standard pre-test sample-size calculation:
n = [z₀.₀₂₅·√(2·p̄·(1−p̄)) + z₀.₂₀·√(p₁(1−p₁)+p₂(1−p₂))]² / (p₁−p₂)²
Baseline conversion
2.1%
Significance / power
95% / 80%
Sample per variant, 5.0% lift
299,882
Sample per variant, 1.0% lift
7,353,946
Halving the minimum detectable effect roughly quadruples the sample required, which is why the conservative figure is so much larger.
What PXL is
PXL is CXL's prioritisation framework: binary questions instead of subjective 1–10 guesses, weighted toward evidence.
Findings discovered by inspection score zero on all four evidence questions — that is the honest signal, not a defect. Findings verified by direct measurement earn the extension point and, where real-user field data is involved, the analytics point.