What factors are contributing to the unexpected 30% increase in analysis time for SOPHiA GENETICS's Whole Exome Solution?

Introduction

The unexpected 30% increase in analysis time for SOPHiA GENETICS's Whole Exome Solution is a critical issue that demands immediate attention. This significant slowdown in processing time could impact customer satisfaction, operational efficiency, and potentially the company's competitive edge in the genomic analysis market. To address this complex problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent software update. Has there been any significant changes to the Whole Exome Solution pipeline in the last few weeks?

Why it matters: Software updates can introduce unexpected performance issues. Expected answer: Yes, there was a recent update to improve variant calling accuracy. Impact on approach: If confirmed, we'd focus on regression testing and code review.

• Considering user segments, I'm wondering if this affects all customers equally. Are we seeing this 30% increase across all user types, or is it more pronounced in certain segments?

Why it matters: Helps identify if the issue is universal or specific to certain use cases. Expected answer: The slowdown is more significant for samples with higher coverage depth. Impact on approach: We'd investigate potential bottlenecks in handling high-coverage data.

• Thinking about system load, has there been a sudden increase in the number of samples being processed concurrently?

Why it matters: Increased load could strain computational resources. Expected answer: Sample volume has remained relatively constant. Impact on approach: If volume is stable, we'd focus on internal system changes rather than scaling issues.

• Regarding data complexity, have we seen any changes in the characteristics of the exome data being submitted for analysis?

Why it matters: Changes in input data could affect processing time. Expected answer: No significant changes noted in input data characteristics. Impact on approach: We'd shift focus from data input to internal processing steps.