I’m Lenna. I help shape ideas into products.

Lenna Hua

UX Designer

I’m Lenna. I help shape ideas into products.

Lenna Hua

UX Designer

I’m Lenna.

I help shape ideas into products.

Lenna Hua

UX Designer

Best Buy — Competitive Experience & UX Opportunity Analysis

Best Buy — Competitive Experience & UX Opportunity Analysis

A competitive UX analysis examining how retail experience patterns shape trust, decision-making, and purchase confidence.

Role

UX Researcher — competitive analysis & synthesis

Client

Creativo

Scope

Desktop & mobile retail experiences

Date

Web Design

Executive Summary

Retail UX patterns significantly impact how users evaluate trust, compare products, and make purchase decisions.

Retail UX patterns significantly impact how users evaluate trust, compare products, and make purchase decisions.

This analysis examined Best Buy alongside comparable electronics retailers to identify recurring UX patterns, strengths, and gaps across discovery, comparison, and checkout experiences. The goal was to surface opportunity areas rather than redesign interfaces.

This analysis examined Best Buy alongside comparable electronics retailers to identify recurring UX patterns, strengths, and gaps across discovery, comparison, and checkout experiences. The goal was to surface opportunity areas rather than redesign interfaces.

Context & User

Buying expensive electronics amplifies users’ need for reassurance before commitment.

Buying expensive electronics amplifies users’ need for reassurance before commitment.

• Electronics purchases involve high financial risk, delivery concerns, and return anxiety. Users require clear system feedback and trust signals throughout the decision-making process.

▸ Primary user

• Budget-conscious buyer
• Purchasing electronics online with home delivery
• Prioritizes reliability, clarity, and risk reduction

PRODUCT CONTEXT

Buying expensive electronics involves high financial risk and uncertainty around delivery and returns. Users rely on clear product information and strong trust signals before committing to a purchase.

PROJECT GOAL

Identify usability gaps in the online electronics purchasing experience and improve how users find key information about product reliability, delivery, and return policies.

Research Scope & Method

Evaluating structure, flow, and surface cues across the end-to-end purchase journey.

Evaluating structure, flow, and surface cues across the end-to-end purchase journey.

▸ This analysis focuses on:

• Homepage and product discovery
• Account sign-in and purchase flows
• Checkout and post-purchase reassurance
• Information architecture and visual hierarchy

▸ Methods used:

• Heuristic evaluation
• User flow mapping
• Information architecture analysis
• Journey mapping

User flow

User flows were mapped to understand the ordering journey from the perspective of both new and returning customers.

User flows were mapped to understand the ordering journey from the perspective of both new and returning customers.

User Flow 1 — User Sign-In Journey:

User Flow 2 — Product Purchase Journey:

Service Blueprint

Service Blueprint Overview

Service Blueprint Overview

This service blueprint maps how the user experience is supported across different touchpoints, including digital platforms, physical interactions, and internal operational processes.

1. Online Experience:

1. Online Experience:

2. Best Buy Employee:

2. Best Buy Employee:

2. Best Buy - Employee:

3. Best Buy - Physical:

3. Best Buy - Physical:

4. Best Buy - Hybrid:

4. Best Buy - Hybrid:

5. B2B:

Key Findings

Clarity builds trust—but complexity still appears at critical decision points.

Clarity builds trust—but complexity still appears at critical decision points.

▸ Finding 1 — Strong product-driven surface design

• Best Buy’s homepage relies heavily on product imagery, promotions, and recognizable brand visuals. This supports quick scanning and reinforces credibility.

▸ Finding 2 — Complex flows during sign-in and checkout

• Account creation, password recovery, and checkout flows introduce branching paths that increase cognitive load—especially for first-time or returning users.

▸ Finding 3 — Policy and delivery reassurance comes late

• Information about refurbished products, delivery timelines, and returns is present but often surfaced after users have already invested effort in comparison.

Structure & Information Architecture

A robust IA supports scale, but depth creates friction.

A robust IA supports scale, but depth creates friction.

The information architecture is comprehensive and well-organized, supporting a wide range of products and services. However, deep nesting and long category paths can slow decision-making, especially for users with a narrow goal.

What works

▸ Clear top-level categories
▸ Consistent labeling
▸ Strong separation between shopping and support

What struggles

▸ Overwhelming depth in category trees
▸ Limited progressive disclosure for novice users

Visual Design & Trust Signals

Color, hierarchy, and contrast reinforce credibility and action.

Color, hierarchy, and contrast reinforce credibility and action.

▸ Best Buy’s visual system uses blue as a dominant color to convey trust, technology, and authority. Yellow accents function as high-visibility action triggers, especially in pricing and promotions.
▸ Together, these choices guide users toward confident action while maintaining brand recognition.

Opportunities & Recommendations

Surface reassurance earlier to reduce hesitation.

Surface reassurance earlier to reduce hesitation.

▸ Introduce clearer “What’s included” summaries for refurbished products
▸ Surface delivery and return information earlier in comparison views
▸ Reduce perceived checkout complexity through clearer progress feedback

Reflection

Trust is cumulative and easily disrupted.

Trust is cumulative and easily disrupted.

▸ This analysis reinforced that trust isn’t created by a single screen or policy. It’s built through consistent clarity, predictable structure, and timely reassurance across the entire journey.

▸ Designing for high-value purchases means reducing uncertainty before users feel it.

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