Introduction
The sudden 30% drop in client retention for New Engen's social media advertising services last quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive plan for validation and resolution.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal fluctuations could explain the drop and change our approach. Expected answer: Yes, it's been compared and is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than quarter-over-quarter.
Why it matters: Major changes could directly impact client satisfaction and retention. Expected answer: A new feature was rolled out 4 months ago. Impact on approach: We'd scrutinize the new feature's performance and user feedback.
Why it matters: Different client segments may have varying needs and retention rates. Expected answer: No significant changes in client demographics. Impact on approach: We'd look more closely at product-market fit and competitive landscape.
Why it matters: Competitive pressure could be drawing clients away. Expected answer: One competitor launched a new pricing model. Impact on approach: We'd analyze our pricing strategy and value proposition.
Why it matters: Changes in measurement could create false alarms. Expected answer: No changes in the metric definition or calculation. Impact on approach: We'd focus on actual retention issues rather than measurement discrepancies.
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