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MacBook Pro showing an Explore Datasets self-service data marketplace — a dark-themed interface with a search bar, country and sort-by filters, practice area and data bundle checkboxes, and a grid of data product cards including a $40,000 Premium Bundle, a Persostack product, and a $2,000 Premium Data Feed, each with colorful abstract dataset preview images and Add to Cart actions
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Product DesignUX ResearchDigital Product StrategyData Platform

Data Asset Marketplace UX for a Global Strategy Consulting Firm

4 months
Internal data scientists, case teams, and product owners
Management consulting / data services
Representative Output

High-fidelity Figma prototype of a self-service data marketplace — including search and filter UI, trial access flows, user context-specific journeys, and data asset detail pages with licensing and reliability metadata.

MacBook Pro showing an Explore Datasets self-service data marketplace — a dark-themed interface with a search bar, country and sort-by filters, practice area and data bundle checkboxes, and a grid of data product cards including a $40,000 Premium Bundle, a Persostack product, and a $2,000 Premium Data Feed, each with colorful abstract dataset preview images and Add to Cart actions
Impact

17% increase in monetization of third-party data licenses

Prototype secured product, partner, and leadership buy-in within 2 weeks of engagement start — with no access to back-end systems

"I loved the way he worked on this with very little information to go on. We are going to have an outstanding V2." — Product Manager

Problem

A global strategy consulting firm needed a way to make proprietary and external data sets accessible and monetizable — but the existing internal platform lacked clarity, usability, and a viable pricing model. There was no way to preview data before purchasing, metadata around data usefulness and ROI was unclear, access was operationally expensive to grant or revoke, and pricing models were either rigid or nonexistent. Case teams were underusing assets the firm had paid for, and monetization of licensed data was significantly below potential.

Approach
1

Came into the engagement mid-project with limited context and no access to back-end systems — and delivered a validated prototype in 2 weeks

2

Drew on consumer e-commerce design patterns to create a shopping-like data discovery experience that matched how case teams actually think about data acquisition

3

Designed flows for three distinct user contexts: New Users, Active Users, and Trial Users

4

Prototyped the complete journey in Figma for stakeholder alignment and validation

Solution

A self-service data marketplace experience modeled on consumer e-commerce — with search and filter across asset categories, a 14-day free trial period for internal case teams, automated purchase prompts at trial completion, and visual affordances for data recency, reliability, and licensing terms. The design gave data scientists and case teams a way to find, evaluate, and access data assets independently — reducing operational overhead, increasing utilization, and establishing a scalable framework for monetizing the firm's licensed data investments.