Introduction
Reltio's Identity Resolution service is experiencing an increased error rate during peak usage hours, indicating a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the pattern of peak usage helps identify potential capacity constraints. Expected answer: Peak hours occur during business hours, lasting 4-6 hours daily. Impact on approach: If confirmed, we'd focus on scaling solutions during specific time windows.
Why it matters: Data quality directly impacts the accuracy of identity resolution. Expected answer: No significant changes in data sources, but a new integration was implemented last month. Impact on approach: If true, we'd investigate the new integration's impact on data processing.
Why it matters: Quantifying the issue helps prioritize the response and measure improvement. Expected answer: Normal rate is 0.5%, now seeing 2-3% during peak hours. Impact on approach: This would help set clear benchmarks for our solution's success.
Why it matters: Infrastructure changes can often lead to unexpected performance issues. Expected answer: A recent cloud migration was completed two weeks ago. Impact on approach: If confirmed, we'd focus on post-migration optimization and configuration issues.
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