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Researching Stocks with Social Sentiments

Finance Data

Relatable Information

Client Pitch

The Project: Proprietary Product for S&P Global

My Role: Primary UX Designer | Team of 6 designers, directors, dev lead

The Problem:

Traditional stock research platforms were built for experienced traders with dense data, financial jargon, and no human context. As retail investing surged globally, driven increasingly by personal sentiment and cultural factors, a growing segment of new investors had no accessible entry point into research.

The Solution:

Designed a narrative-driven stock research tool that translates complex financial data into relatable, narrative-based experiences that pulls in contextual signals like CEO approval ratings and relevant social media sentiment alongside hard data, meeting new investors where they actually make decisions.

  • Designed for adaptability across buyers' environments, from full desktop dashboards to minor mobile widgets

  • Extended the research experience beyond the platform with a browser extension and personal investing journal

  • Built with international markets in mind, accounting for cultural differences in how investors relate to financial information

We saw an opportunity, and we took it; leading to several contract extensions!

After pitching this to clients, we had several institutions both in the American & Canadian market that saw value and added this project to their roadmaps: strengthening the relationships between us & our clients.

The first page to the guided research experience. User flow for social sentiment is meant to guide investors through 3 questions to help investors determine if the security is a worthwhile investment:

– Who is the company?

– How is the stock doing?

– How does this fit into my portfolio?

The different questions aims to present the common mindset that investors have when researching.

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Process Snapshot

A concept-to-pitch product design initiated internally, designers across several clients and countries noticed a gap in how our clients were presenting their research. A group of UX designers came together to propose an innovative solution to address the growing gap, aiming to increase user satisfaction across our clients’ platforms.

A peek at the competitive analysis done for top banking institutes across both the US & Canada

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⏷ Several mind map exercises were done to replicate the investor mindset when trading with sentiment, these exercises were necessary to capture the exact pain points we hoped to design for (

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Leading with our Saas Expertise

This project actively tackles a lot of pain points that investors commonly experience when researching stocks: overwhelming complexity and lack of personal stake. There were some clients that wasn’t interested enough upon initial pitch, but retroactively added this to their roadmap.

A common north star that our clients have is to increase data sets that none of their competitors are subscribed too. Social sentiment data drives investors to have a personal and emotional connection to their investments, making it a perfect vehicle to drive trade, provide innovative & unique data sets, & connect with their users in a visceral way that’s unheard of in Fintech spaces.

► Expanding social sentiment to a browser widget allows investors to continue with their research beyond the platform. Having a client branded widget available for users to rely on even if they’re researching on competitor sites, further anchoring the users to be dependent on the client’s unique data.

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