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Product Management Root Cause Analysis Question: Investigating sudden increase in mobile app support tickets

What caused the sudden 30% increase in customer support tickets related to Lulalend's mobile app last week?

Problem-Solving Data Analysis Product Strategy Fintech Mobile Apps SME Lending
Product Analytics Fintech Root Cause Analysis Customer Support Mobile App Troubleshooting

Introduction

The sudden 30% increase in customer support tickets related to Lulalend's mobile 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 fixes and long-term implications for our product strategy.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.

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 related to a recent app update. Has there been any significant release or change to the app in the past week or two?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, there was an update. Impact on approach: If yes, we'll focus on changes in that update.

  • I'm curious about the nature of these tickets. Are they clustered around a specific feature or spread across various app functionalities?

Why it matters: Helps narrow down the problem area. Expected answer: Tickets are concentrated on a particular feature. Impact on approach: We'll dive deeper into that specific feature.

  • Considering user segments, I'm wondering if this increase is uniform across all user types or more pronounced in a particular group. Can we break down the ticket increase by user segments?

Why it matters: Identifies if the issue is global or segment-specific. Expected answer: The increase is more significant in a specific user segment. Impact on approach: We'll tailor our investigation to that segment's characteristics.

  • Given the sudden nature of the increase, I'm thinking about potential external factors. Have there been any significant market events or competitor actions that might have impacted our users' behavior?

Why it matters: Rules out external influences. Expected answer: No significant external events noted. Impact on approach: We'll focus more on internal factors if external events are ruled out.

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