Project details
Client:
IG Group
Tool:
Figma, Adobe Illustrator, Maze, Hotjar, Google Analytics
Personalised Feed + AI Content
Challenge
Building on the foundation of the Explore Hub, we identified a significant opportunity to revolutionize how traders consume financial news. With only 6% of users engaging with news features, we recognized that the traditional approach of providing generic Reuters feeds wasn't meeting the sophisticated needs of modern traders. The challenge was to create a truly personalized, AI-powered content experience that would deliver relevant, actionable information tailored to each user's specific trading interests and portfolio.
Problem
Generic Reuters news feed that wasn't relevant to individual traders
Basic personalization
Content overload leading to decision paralysis
Lack of actionable insights from news consumption
Missing connection between news consumption and trading activity
Users struggling to find information relevant to their specific trading strategy
Research insights
Through user interviews, competitive analysis, and data science collaboration, we identified key opportunities:
Personalization Gap - No existing financial platforms offered truly personalized news experiences, creating a significant competitive advantage opportunity.
Content Consumption Patterns - Users wanted different types of content at different times - pre-market summaries, real-time updates, and post-market analysis.
Interactive Engagement - Users desired more engaging, interactive content beyond traditional article consumption.
AI-Powered Summarization - Traders needed quick, digestible summaries rather than full articles to make time-sensitive decisions.
Context-Aware Filtering - Users wanted content filtered by their actual positions and watchlists, not just general market categories.