Introduction
To refine eToro's social trading feed for more actionable insights, we need to analyze user behavior, identify pain points, and develop targeted solutions. I'll approach this by examining user segments, analyzing their journey, and proposing data-driven improvements to enhance the social trading experience.
Step 1
Clarifying Questions (5 mins)
Why it matters: This helps us understand the current baseline and identify improvement opportunities. Expected answer: 15 minutes average daily engagement, with 30% of users actively participating. Impact on approach: Low engagement would prioritize discoverability and onboarding improvements.
Why it matters: Helps determine if we need to focus on encouraging more content creation or improving content consumption. Expected answer: 10% creators, 90% consumers. Impact on approach: A low creator ratio might lead us to focus on incentivizing more users to share insights.
Why it matters: Establishes the direct business impact of the social feed. Expected answer: Users who engage with the social feed trade 40% more frequently. Impact on approach: Strong correlation would justify significant investment in feed improvements.
Why it matters: Ensures our improvements align with user expectations and market trends. Expected answer: Users are seeking more real-time market analysis and personalized recommendations. Impact on approach: Would guide us to prioritize features that provide timely, tailored insights.
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