Stocktwits: Market Sentiment

Financial Analyst

User Researcher

Product Designer

Figma

Jira

Slack

Stocktwits

Stocktwits' engagement rate was trending down by 15% because there wasn't a quick and easy way to visualize market sentiment, making it hard for users to gauge bullish or bearish trends.

It was like walking into a party and not knowing if people were celebrating or complaining—awkward and confusing.

Our goal

Design a sentiment dashboard, much like a Spotify playlist, that displayed real-time bullish and bearish activity using visuals to gauge if the market was fearful or greedy.

Sentiment feature on TSLA's symbol page for web

Sentiment feature on TSLA's symbol page for mobile

The initial results

TSLA market sentiment flow on web

The good 😀

30% increase in user engagement on pages with the sentiment feature

18% higher retention rate among new users

Reduced bounce rate from 42% to 29%.

The bad 😔

Sentiment prediction accuracy required further tuning, with some users reporting edge-case inaccuracies (~8% of cases).

How we did it

I led the design and development of a real-time market sentiment feature that could provide actionable insights to users, increasing engagement and retention.

Our Product Managers defined feature scope and prioritized user needs

Our Data Scientist processed sentiment analysis data from user posts and interactions

Our Frontend Engineer implemented responsive UI for web and mobile

Our QA Engineer ensured smooth deployment and functionality across devices

What we learned

Simple, visual cues improve clarity

Visualizing sentiment with percentages and clear labels increased understanding and engagement. This taught us that reducing cognitive load leads to better user adoption.

Real-time data drives action

Users responded positively to live updates, enhancing the platform’s perceived reliability. This showed us that immediacy is key in financial products.