Introduction
Ocrolus's small business loan document analysis service is experiencing increased processing time this quarter, potentially impacting customer satisfaction and operational efficiency. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term 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: Volume changes could strain existing systems. Expected answer: Yes, a 20-30% increase in applications. Impact on approach: Would focus on scalability solutions.
Why it matters: Recent changes could introduce unexpected issues. Expected answer: A minor update was deployed last month. Impact on approach: Would investigate the impact of the recent update.
Why it matters: Different document types may require varying processing times. Expected answer: More complex financial statements are being submitted. Impact on approach: Would explore optimizing for specific document types.
Why it matters: User behavior shifts could impact system performance. Expected answer: Some users are submitting larger batches of documents. Impact on approach: Would consider implementing batch processing optimizations.
Why it matters: New regulations could necessitate additional processing steps. Expected answer: No significant regulatory changes recently. Impact on approach: Would focus on internal factors rather than compliance issues.
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