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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
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.
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.
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.
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.
Practice similar questions
Subscribe to access the full answer