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Company focus

Coda (Singapore)

How can we explain the sudden 40% increase in customer support tickets related to Coda (Singapore)'s mobile app performance last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Technical Understanding SaaS Productivity Software Collaboration Tools Data Analysis Root Cause Analysis Customer Support Mobile App Performance Hypothesis Testing
Product Management Root Cause Analysis Question: Investigating sudden increase in mobile app support tickets for Coda in Singapore

Introduction

The sudden 40% increase in customer support tickets related to Coda (Singapore)'s mobile app performance 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.

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 update to the Coda mobile app in Singapore within the last two weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was an update released 10 days ago. Impact on approach: If confirmed, we'd focus on changes introduced in that update.

  • Considering the specificity of the issue to Singapore, I'm wondering about local factors. Have there been any notable events or changes in the Singapore market that could affect app usage or performance?

Why it matters: Local factors could explain the geographically limited nature of the issue. Expected answer: No significant local events, but a major telco upgraded their network recently. Impact on approach: We'd investigate potential interactions between the app and the new network infrastructure.

  • Given the scale of the increase, I'm curious about user segmentation. Is this increase in support tickets spread evenly across all user segments, or is it concentrated in specific groups?

Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The increase is primarily from users with older device models. Impact on approach: We'd focus on compatibility issues with older hardware.

  • Considering potential data anomalies, I'm wondering about our support ticket categorization. Has there been any recent change in how we categorize or tag support tickets related to app performance?

Why it matters: Ensures we're comparing like-for-like data and not misinterpreting a change in measurement. Expected answer: No changes to categorization in the last three months. Impact on approach: We'd rule out data categorization issues and focus on actual performance problems.

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Updated Mar 29, 2025