Disocvery Analytical Platform



Default Analytical Page

Marketplace Project






Tool Used

Figma

Period

01/08/2024 - 6/19/2024

Target Audience

Supplier

Participation

Kate Yu (Design)
PM
Data Scientists
Engineers

Process



icon research

Prepare

Define Product
Research

icon analysis

Study

PRD Questions
Define Project Goal

icon analysis

Iterations

Concept
User Testing 1
User Testing 2

icon analysis

Output

Component Library
Finalized Design
Documentation

Prepare

Define Product

What is Disocvery for Supplier and
why does an analytical page matter to them?

Discovery helps suppliers increase visibility and connect with global buyers by showcasing verified profiles, certifications, and product offerings. Through smart matching and search filters, suppliers are invited to relevant sourcing events, while insights help them refine their strategy and win more business.

An analytical page matters to suppliers because it provides clear visibility into how they’re performing on the platform. With insights into conversion rates, engagement levels, regional interest, product categories, and keyword trends, suppliers can understand buyer behavior and optimize their profiles accordingly. The recommendations feature offers actionable tips to improve discoverability and competitiveness—making it a strategic tool for attracting the right buyers and increasing business opportunities.

Research

Types of Data Analysis

Study

PRD Related Questions

Collabration work with the PM
  • Focus 1: How to use the current data and make the platform useful to the supplier?

  • Foucs 2: The current branding system component supports possible analytical components. Are they enough for the usage, or is a customized component necessary?

Define Project Goal

  • Purpose 1: Ensure the value of the project to the customers and SAP

  • Purpose 2: Ensure the approaching direction aligned

  • Purpose 3: Ensure the solve the customer problem correctly

Iterations

Concept

Design Under Consideration

User Testing 1

  • Session 1: Entry Point Options

  • Session 2: Default Page With Filter Testing

  • Session 3: Functions include in each section

  • Session 4: Save a variant filter result

User Testing 2

  • Update 1: Entry Point Widget design updated

  • Update 2: Use a real data

  • Update 3: Color code updated based on the users feedback

  • Update 4: Defined analytical widget types and categories

Output

Component Library

Reusable Components

Finalized Design

Documentation

Change Log

Wiki Page

Summary

As a senior UX designer, this project taught me how to turn complex data into clear, actionable insights that support supplier goals. I learned to design for data literacy, embed meaningful recommendations, and create scalable layouts that adapt to different user needs. It also deepened my skills in cross-functional collaboration and reinforced the importance of aligning UX with measurable business outcomes.

Key Learnings and Future Improvements

  • Simplified complex data into clear, actionable insights tailored to supplier needs.

  • Strengthened cross-functional collaboration to align design with data and business goals.

  • Built scalable, user-friendly layouts with room for interactivity and deeper exploration.

  • Identified future enhancements, including benchmarking, alerts, and accessibility improvements.