Introduction
The decline in Swiggy One's first-time subscriber retention rate from 70% to 55% this 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 fixes and long-term strategic implications.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
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 trends could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical retention strategies.
Why it matters: Identifies if the issue is universal or segment-specific. Expected answer: Varied impact across segments. Impact on approach: Tailor solutions to most affected segments.
Why it matters: Recent changes could directly impact user retention. Expected answer: Some feature updates or policy changes. Impact on approach: Focus on impact of recent changes on user experience.
Why it matters: External market forces could influence retention rates. Expected answer: Some competitive pressure, but no drastic market shifts. Impact on approach: Consider competitive positioning in solution design.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to reassess the actual impact.
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