Introduction
The decline in student engagement with Ruangguru's live tutoring sessions by 25% since 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 product and its users.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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 patterns could explain temporary fluctuations. Expected answer: End of semester or holiday period. Impact on approach: If seasonal, we'd focus on retention strategies during off-peak times.
Why it matters: Identifies whether this is a universal issue or specific to certain users. Expected answer: Varied impact across different user groups. Impact on approach: Tailor solutions to most affected segments if non-uniform.
Why it matters: Recent changes could directly correlate with the engagement drop. Expected answer: List of recent updates or confirmation of no major changes. Impact on approach: Focus on reverting or optimizing recent changes if applicable.
Why it matters: External market forces could be drawing users away. Expected answer: Information on competitor actions or market trends. Impact on approach: Adjust product strategy to maintain competitive edge if market shifts are identified.
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