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Product Management Root Cause Analysis Question: Investigating Swiggy One's customer retention rate decline

Why has the customer retention rate for first-time Swiggy One subscribers decreased from 70% to 55% this quarter?

Data Analysis Problem Solving Strategic Thinking Food Delivery E-commerce Subscription Services
Data Analysis Food Delivery Customer Retention Root Cause Analysis Subscription Services

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)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has this drop coincided with any particular season or event?

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.

  • Considering user segments, I'm curious about the demographics. Has the retention drop been consistent across all user groups or more pronounced in specific segments?

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.

  • Regarding recent changes, have there been any significant updates to the Swiggy One program or overall app experience in the last quarter?

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.

  • Thinking about competitive landscape, has there been any major move from competitors or changes in the food delivery market recently?

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.

  • Considering data integrity, has there been any change in how retention rate is calculated or measured in the past quarter?

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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