Introduction
The recent 25% decrease in average time spent on Luno's trading dashboard is a significant shift that warrants thorough investigation. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this concerning trend in user engagement.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minute)
Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI refresh two weeks ago. Impact on approach: If confirmed, we'd focus on the UI changes and user adaptation.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Advanced traders show a more significant decrease. Impact on approach: We'd investigate features specific to advanced traders.
Why it matters: External events can greatly influence trading behavior. Expected answer: No major market events in the past month. Impact on approach: We'd focus more on internal factors if external events are ruled out.
Why it matters: Technical problems could deter users from spending time on the platform. Expected answer: No significant increase in error rates reported. Impact on approach: We'd shift focus from technical issues to user experience and feature relevance.
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