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Product Management Root Cause Analysis Question: Investigating sudden decrease in Practo app sign-ups

What caused the sudden 50% decrease in new user sign-ups for Practo's appointment booking app last week?

Data Analysis Problem-Solving Strategic Thinking Healthcare Technology SaaS
Data Analysis Product Metrics User Acquisition Root Cause Analysis Healthtech

Introduction

The sudden 50% decrease in new user sign-ups for Practo's appointment booking app last week 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.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's 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)

  • Looking at the timing, I'm thinking this could be a recent change. Has there been any significant product update or feature release in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new UI was rolled out. Impact on approach: If yes, we'd focus on the changes; if no, we'd look at external factors or gradual issues that reached a tipping point.

  • Considering user segments, I'm curious about the distribution. Is this decrease uniform across all user segments or concentrated in specific groups?

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The decrease is more pronounced in first-time users. Impact on approach: If segmented, we'd focus on that specific user group; if uniform, we'd look at broader, system-wide issues.

  • Given the severity, I'm wondering about data accuracy. Have there been any changes to our analytics setup or sign-up flow recently?

Why it matters: Ensures we're not chasing a phantom problem due to data discrepancies. Expected answer: No changes to analytics, but a new onboarding flow was implemented. Impact on approach: If analytics changed, we'd validate data first; if not, we'd investigate product changes.

  • Considering market dynamics, has there been any significant competitor activity or market shift in the past week?

Why it matters: External factors can sometimes explain internal metrics. Expected answer: No major competitor moves, but a government health initiative was announced. Impact on approach: If yes, we'd factor in market dynamics; if no, we'd focus more on internal factors.

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