Introduction
The sudden increase in error rates for ICE Mortgage Technology's eClose digital closing solution 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 eClose system, user interactions, and potential external factors. We'll generate data-driven hypotheses, conduct a detailed root cause analysis, and propose a comprehensive resolution plan.
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 sudden performance shifts. Expected answer: Yes, there was a minor update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in that update.
Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The issue seems more prevalent among high-volume users. Impact on approach: We'd investigate factors specific to high-volume usage patterns.
Why it matters: Unusual load could strain the system and increase errors. Expected answer: Transaction volumes are within normal range. Impact on approach: If volumes are normal, we'd focus more on internal system issues.
Why it matters: Changes in measurement can create false positives. Expected answer: No changes in error rate definition or measurement. Impact on approach: Confirms the increase is real, not a measurement artifact.
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