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Product Management Root Cause Analysis Question: Investigating DBS digibanc's peer-to-peer payment transaction decline after app update
Image of author vinay

Vinay

Updated Jan 8, 2025

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How can we explain the 25% decline in DBS digibanc's peer-to-peer payment transactions volume since the latest app update?

Data Analysis Problem Solving Strategic Thinking Banking Financial Services Digital Payments
User Engagement Root Cause Analysis FinTech Transaction Volume App Updates

Introduction

The recent 25% decline in DBS digibanc's peer-to-peer payment transactions volume following the latest app update is a critical issue that demands immediate attention. This significant drop in a core product metric could have far-reaching implications for user engagement, revenue, and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the issue.

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 the app update might be directly related. Can you confirm when exactly the update was released and when we first noticed the decline?

Why it matters: Establishes a clear timeline for cause-effect analysis. Expected answer: Update released on [date], decline noticed within [timeframe]. Impact on approach: Helps narrow down potential causes based on timing.

  • Considering user segments, I'm curious if this decline is uniform across all user groups. Have we seen any differences in the impact on various user segments, such as age groups or transaction frequency?

Why it matters: Identifies if the issue is global or specific to certain users. Expected answer: Decline varies across segments, with [specific group] most affected. Impact on approach: Focuses investigation on most impacted segments and their unique characteristics.

  • Thinking about the update itself, were there any significant UI/UX changes or new features introduced that might affect the peer-to-peer payment flow?

Why it matters: Pinpoints potential direct causes within the update. Expected answer: Yes, [specific changes] were made to the payment flow. Impact on approach: Directs attention to specific areas of the app for deeper investigation.

  • Regarding system performance, have we noticed any changes in app stability, load times, or error rates since the update?

Why it matters: Rules out or identifies technical issues as potential causes. Expected answer: Some increase in [specific metric] has been observed. Impact on approach: Prioritizes technical investigation if performance issues are confirmed.

  • Considering external factors, have there been any significant changes in the competitive landscape or marketing efforts around the time of the update?

Why it matters: Helps distinguish between internal and external causes. Expected answer: [Competitor] launched a new feature/campaign around the same time. Impact on approach: Broadens the scope of investigation to include market factors if relevant.

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