๐ŸŽ“ UX Case Study  ยท  6 Weeks  ยท  2025

FurniAR
Place it.
Love it.

A mobile-first furniture shopping concept blending immersive AR, voice discovery, smart comparison, and AI guidance โ€” so every purchase feels right before it arrives.

Role: Product Designer Platform: Mobile Figma ยท FigJam AR + Voice + AI
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01 โ€” Overview

A confidence system,
not just a catalog.

FurniAR rethinks furniture shopping by helping users visualize, compare, and validate products in their real space before committing to a purchase.

Project Summary

Furniture purchases are high-consideration decisions. Users worry about scale, fit, style harmony, and costly mistakes. FurniAR combines immersive AR, natural voice search, intelligent assistance, and clearer product comparison into one cohesive mobile experience designed to remove doubt at every step.

RoleProduct Designer / UIโ€“UX
PlatformMobile App (iOS)
CategoryFurniture / AR Commerce
ToolsFigma, FigJam, Notion
Duration6 Weeks
02 โ€” Research

Three anxieties
killed the sale.

Online furniture buying creates hesitation because products can't be experienced before purchase. Design focused on resolving "Will it fit?", "Will it match?", and "Am I sure?"

01

Visualization Gap

Static photos and dimensions fail to communicate how furniture feels in a real room, especially in smaller urban apartments.

02

Comparison Fatigue

Users struggle to compare products across multiple tabs and pages, increasing mental load and slowing decisions.

03

Low Confidence

Without context-aware reassurance, users delay purchases, abandon carts, or choose safer but less satisfying options.

Design Challenge
How might we create a furniture shopping experience that helps users discover faster, visualize accurately, compare effortlessly, and purchase with confidence?
03 โ€” Persona

Style-conscious.
Research-heavy.

Urban, mobile-first, comparison-driven shoppers who want a premium experience that feels smart, fast, and trustworthy.

๐Ÿ‘ค

Aarav, 29

Software Professional ยท Urban Apartment ยท Bengaluru
BehaviorMobile-first, comparison-driven
MotivationBuy premium furniture that fits perfectly
MindsetWants effortless premium experience

What Aarav Needs

  • Goals: Find furniture quickly, validate fit in his room, avoid costly mistakes.
  • Pain Points: Hard to judge scale online, too many choices, low trust in dimensions alone.
  • Needs: AR confidence, fast voice search, meaningful comparisons, guided AI recommendations.
  • Frustration: Switching between 12 browser tabs just to compare two sofas.
04 โ€” User Flow

Discovery โ†’ Decision
โ†’ Confidence.

Familiar e-commerce patterns with immersive moments layered in only when they reduce uncertainty.

05 โ€” Information Architecture

Six layers,
one journey.

Organized around clear layers that guide users from entry to conversion without cognitive overload.

06 โ€” Hi-Fi Design

Every feature
earns its place.

Each screen was designed to reduce hesitation at the exact moment users need reassurance most.

07 โ€” Screen Showcase

Built in Figma.
Tested with users.

Screens organized by journey stage โ€” from first open to post-purchase.

08 โ€” Interactive Prototype

Explore the
live prototype.

Preview the interactive Figma prototype directly inside the case study without leaving the page.

09 โ€” Takeaways

Technology earns trust
by removing doubt.

AR and AI should not feel like novelty. They should act as quiet confidence tools that help users make better decisions.

Key Learnings

  • Innovation must feel understandable before it feels impressive.
  • High-value commerce needs emotional reassurance, not only information.
  • AR should be guided and contextual, especially for first-time users.
  • Decision support matters most right before the conversion moment.

Reflection

FurniAR was designed as a practical, future-facing shopping concept. Instead of showcasing AR and voice as standalone features, the experience integrates them into a coherent journey that helps users feel more certain about what they are buying, how it will fit, and whether it truly belongs in their space.

Like what
you see?

Let's build something that users actually love.