Introduction
The increased error rate in Cognite's InField mobile app for asset inspections this month is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
Our approach will involve a thorough examination of the issue, generation of data-driven hypotheses, and development of a comprehensive solution strategy. We'll begin by clarifying the context, then rule out external factors before diving deep into the product's user journey, metric breakdown, and potential root causes.
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, a new version was released. Impact on approach: If yes, we'll focus on changes in that release.
Why it matters: Helps narrow down potential causes related to user behavior or device types. Expected answer: The issue affects a specific user segment more. Impact on approach: We'll investigate that segment's unique characteristics or usage patterns.
Why it matters: Ensures we're analyzing the correct metric and not missing any nuances. Expected answer: Detailed breakdown of the error rate calculation. Impact on approach: We'll focus on the specific components showing increases.
Why it matters: Network issues can significantly impact mobile app performance. Expected answer: No major reported issues with cloud providers. Impact on approach: If no, we'll focus more on internal factors.
Practice similar questions
Subscribe to access the full answer