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Product Management Root Cause Analysis Question: Investigating sudden spike in failed genome sequencing runs

What caused the sudden spike in failed sequencing runs for 54gene's whole genome sequencing service last week?

Problem Solving Data Analysis Technical Knowledge Biotechnology Healthcare Genetic Testing
Root Cause Analysis Data Quality Troubleshooting Genomics Bioinformatics

Introduction

The sudden spike in failed sequencing runs for 54gene's whole genome sequencing service last week presents a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent system update. Has there been any software or hardware changes implemented recently?

Why it matters: System changes often correlate with performance issues. Expected answer: Yes, a software update was rolled out last week. Impact on approach: If confirmed, we'd focus on rollback options and code review.

  • Considering the specificity of "failed sequencing runs," I'm curious about the error messages. Are we seeing any consistent error patterns across these failed runs?

Why it matters: Error patterns can quickly narrow down potential causes. Expected answer: Yes, there's a recurring "data corruption" error. Impact on approach: This would lead us to investigate data handling processes.

  • Given the nature of genomic sequencing, I'm wondering about sample quality. Has there been any change in sample collection or preparation procedures?

Why it matters: Sample integrity is crucial for successful sequencing. Expected answer: No changes in sample handling procedures. Impact on approach: If confirmed, we'd shift focus away from pre-sequencing processes.

  • Thinking about capacity, has there been a sudden increase in the volume of sequencing requests?

Why it matters: Overloaded systems can lead to increased failure rates. Expected answer: Slight increase, but within normal fluctuations. Impact on approach: If significant, we'd look into scaling solutions.

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