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Product Management Root Cause Analysis Question: Investigating sudden drop in Paga's bill payment success rate

Asked at Paga

15 mins

Why has the number of successful bill payments on Paga dropped by 30% in the last week?

Problem Solving Data Analysis Technical Understanding Fintech Digital Payments Mobile Banking
User Experience Data Analysis Fintech Root Cause Analysis Payment Systems

Introduction

The sudden 30% drop in successful bill payments on Paga over the last week is a critical issue that demands immediate attention. This significant decline in a core product metric could have far-reaching implications for user satisfaction, revenue, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Given the abrupt nature of the decline, I'm wondering about recent changes. Have there been any significant updates to the bill payment system or user interface in the past two weeks?

Why it matters: Recent changes could directly correlate with the drop in successful payments. Expected answer: Yes, a minor UI update was implemented. Impact on approach: If confirmed, I'd focus on UI-related hypotheses and user experience issues.

  • Considering the specificity of the 30% drop, I'm curious about the consistency of this decline. Has the 30% decrease been uniform across all days of the week, or are there fluctuations?

Why it matters: Patterns in the decline could point to specific issues or user behaviors. Expected answer: The decline has been relatively consistent. Impact on approach: A consistent decline might indicate a systemic issue rather than an isolated incident.

  • Looking at user segments, I'm wondering if this decline is universal. Are all user groups equally affected, or is the drop more pronounced in certain demographics or regions?

Why it matters: Segmented impact could reveal targeted issues or user-specific problems. Expected answer: The decline is more significant among older users. Impact on approach: I'd focus on accessibility and usability issues that might disproportionately affect older users.

  • Considering potential external factors, has there been any significant change in the competitive landscape or regulatory environment in the past month?

Why it matters: External changes could influence user behavior or system functionality. Expected answer: No major external changes noted. Impact on approach: I'd focus more on internal factors and user experience issues.

  • Given the importance of system reliability, I'm curious about any backend changes. Have there been any updates to the payment processing infrastructure or integrations with bill providers in the last month?

Why it matters: Backend changes could impact payment success rates without being immediately apparent. Expected answer: A new payment gateway was integrated two weeks ago. Impact on approach: I'd prioritize technical hypotheses related to payment processing and integration issues.

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