Introduction
Selected Society Group's personalized event recommendation feature has experienced a sudden surge in negative feedback over the past two weeks. This unexpected shift in user sentiment requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could be contributing to this issue.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden shifts in user feedback. Expected answer: Yes, there was an algorithm update two weeks ago. Impact on approach: If confirmed, we'd focus on the algorithm change as a primary suspect.
Why it matters: Helps identify if the issue is universal or affects particular segments. Expected answer: The feedback is primarily from long-time users. Impact on approach: We'd investigate how the recent changes might have disrupted established user expectations.
Why it matters: Aligns user feedback with quantitative metrics to validate the issue's impact. Expected answer: There's been a 15% decrease in event attendance from recommendations. Impact on approach: We'd focus on understanding why users are finding recommendations less relevant or appealing.
Why it matters: External changes could impact the quality or quantity of events being recommended. Expected answer: No major changes in event partnerships or availability. Impact on approach: We'd shift focus to internal factors if external elements remain stable.
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