Introduction
A sudden 30% decrease in click-through rates for Credible's personal loan comparison tool is a critical issue that demands immediate attention. This significant drop could impact user engagement, conversion rates, and ultimately, revenue. To address this problem, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and develop both short-term fixes and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpointing the timeframe helps isolate potential causes. Expected answer: Within the last week or two. Impact on approach: A sudden drop suggests a specific trigger rather than gradual decline.
Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: The decrease is more pronounced in certain user groups or loan categories. Impact on approach: Segment-specific issues would require targeted solutions.
Why it matters: Recent changes often correlate with performance shifts. Expected answer: A few minor updates were implemented recently. Impact on approach: Focus on recent changes as potential root causes.
Why it matters: External factors can significantly impact user behavior. Expected answer: No major market shifts, but some competitors have launched new campaigns. Impact on approach: Consider both internal and external factors in the analysis.
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