YATI SHARMA · PORTFOLIO
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CONCEPT · DATA VISUALIZATION

Arthur Analytics

Art Market Intelligence, Unified
Role: Product Designer
Platform: Web · iOS · Android

Arthur Analytics is an international art market intelligence platform that unifies auction history, artist insights, gallery intelligence, and market trends into a single, intuitive experience — empowering collectors, galleries, and researchers to make informed decisions with confidence.

Arthur Analytics cover

Overview

Arthur Analytics is an international art market intelligence platform designed to help collectors, galleries, museums, and researchers navigate the global art market with confidence. The platform unifies auction history, artist performance, gallery intelligence, exhibitions, and market insights into a single connected experience, replacing fragmented research workflows with one intelligent product.

The Challenge

Professional art research required users to jump between multiple platforms to gather auction results, gallery information, exhibition schedules, and artist performance. Existing solutions lacked personalization, were difficult to use on mobile, and kept valuable market insights behind expensive reports.

The Goal

The objective was to create a unified research platform that could:

My Role

As the Product Designer, I led the end-to-end design process across web and mobile.

Responsibilities

Research

Before designing, I immersed myself in the art market to understand how collectors, gallery professionals, and researchers discover information, evaluate artists, and make decisions. The research included:

These insights revealed that the biggest problem wasn't missing data — it was that valuable information existed in too many disconnected places.

Design Principles

Four principles guided every design decision throughout the project.

Proactive, Not Passive
Rather than expecting users to search constantly, the platform surfaces timely updates and personalized signals.
Context Before Numbers
Metrics become meaningful only when paired with historical trends and relevant comparisons.
Depth Without Clutter
Professional users need rich data, but it must be organized with clear hierarchy rather than overwhelming interfaces.
One Visual System
Web and mobile share a consistent design language while adapting interactions to each platform.

Design Process

The product evolved through four key phases: Research → Structure → Design → Developer Handoff. From low-fidelity wireframes to high-fidelity interfaces, every screen was built around creating faster access to meaningful art market intelligence.

Key Features

These features transformed fragmented research into one connected workflow.

Selected Screens

Arthur Analytics sales browsing
Arthur Analytics past auction results
Arthur Analytics galleries
Arthur Analytics auction performance
Arthur Analytics notifications
Arthur Analytics artist profile
Arthur Analytics mobile artist detail
Arthur Analytics repeat sale
Arthur Analytics mobile app home

Design Challenges

The project presented several important trade-offs:

Outcome

Although Arthur is a concept project, the design was intentionally created to:

Reflection

Arthur reinforced several lessons that continue to shape my design process:

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