Increased session duration by 15% and reduced bounce rate by 10% by optimizing colors

📍CONTEXT / PROBLEM / GOAL

1-Week project • Web • Gaming platform UX optimization

Context

A high-traffic gaming platform designed for long sessions (20–60 minutes), where users browse and interact continuously.

Problem

The platform used a highly saturated blue background (RGB 0, 0, 60), potentially causing visual fatigue over time, leading to:

  • Reduced session duration

  • Increased bounce rate

  • Lower retention

Goal

Reduce visual fatigue and improve engagement metrics without losing brand identity.

🧩 MY ROLE

UX Research

Competitive analysis

Data-driven decisions

UI optimization

🧠 KEY INSIGHTS
Visual fatigue is an invisible churn driver

Users don’t consciously identify fatigue—they associate discomfort with the product itself.

Impact:
↓ Session duration
↓ Return rate
↓ Brand perception

Differentiation can create friction

The platform used a color far outside industry standards in an attempt to stand out.

Impact:
Users experienced higher cognitive and visual load

Industry patterns reflect human physiology, not trends

Competitors converged on low-saturation dark backgrounds due to long-session usability.

Impact:
Ignoring patterns = ignoring proven user comfort

Fatigue compounds over time (15–30 min effect)

Visual strain increases progressively, impacting behavior mid-session.

Impact:
↑ Scroll speed
↓ Focus
↑ Drop-off

📊 EVIDENCES
Competitive RGB analysis showed clustering between 5–35 values
Current platform: RGB (0, 0, 60) → ~200% more saturated than competitors
💡SOLUTIONS
✅ Color saturation optimization

Highly saturated blue background causing long-session discomfort

Highly saturated blue background causing long-session discomfort

Decision

• Adjusted color from RGB (0, 0, 60) → RGB (13, 18, 31)

• Reduced blue saturation by ~48%

• Maintained brand identity

• Aligned with industry cluster

Impact


↓ Visual fatigue
↑ Comfort for long sessions

↓ Visual fatigue
↑ Comfort for long sessions

✅ Data-driven color positioning

Color decisions were previously subjective

Color decisions were previously subjective

Decision

• Mapped competitor RGB values

• Positioned color within optimal range

• Used contrast + accessibility standards (WCAG AAA)

Impact

↑ Objective design decisions
↑ Usability consistency

✅ UX heuristics applied to visual design

Color treated as aesthetic instead of usability factor

Color treated as aesthetic instead of usability factor

Decision

• Nielsen heuristic #8 (minimalist design)

• Accessibility standards

• Long-session usability principles

Impact

↓ Cognitive load
↑ Task focus

🎨FINAL DESIGN
Before:

High saturation blue → visually intense → tiring over time

After:

Balanced dark blue → subtle → comfortable for long sessions

Shift:

Aesthetic-driven → usability-driven

Aesthetic-driven → usability-driven

BEFORE
AFTER
Balancing identity and usability

The new Alfa positioning achieves:

The new Alfa positioning achieves:

• Alignment with industry comfort standards

• Preservation of brand differentiation

• Improved accessibility baseline

📈 RESULTS

↑ 15%

Session duration

Session duration

↓ 10%

Bounce rate

↑ 10%

Retention (30d)

Retention (30d)

Users don’t leave because of bad design. They leave because of invisible friction.
📚 LEARNINGS

• Differentiation should never compromise usability

• Industry patterns often encode real user behavior insights

• Visual comfort is a core UX metric (not just aesthetics)

• Data should guide design—not personal preference

nai.caparelli@gmail.com

UAE 🇦🇪, Italy 🇮🇹, Brazil 🇧🇷

Updated on April 2, 2026.

nai.caparelli@gmail.com

UAE 🇦🇪, Italy 🇮🇹, Brazil 🇧🇷

Updated on April 2, 2026.