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Product Management Root Cause Analysis Question: Investigating increased turnaround time for genetic test results
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Nextsprints

Updated Jan 22, 2025

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Asked at Color

12 mins

Why has the average turnaround time for Color's cardiovascular genetic test results increased by 2 days compared to the previous quarter?

Problem Solving Data Analysis Process Improvement Healthcare Biotechnology Diagnostics
Data Analysis Root Cause Analysis Healthcare Tech Process Optimization Genetic Testing

Introduction

The increase in turnaround time for Color's cardiovascular genetic test results by 2 days compared to the previous quarter is a critical issue that requires immediate attention. This delay not only impacts patient care but also affects Color's reputation and operational efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 there might be a seasonal component. Has there been any change in test volume compared to the same quarter last year?

Why it matters: Seasonal fluctuations could explain temporary increases in turnaround time. Expected answer: Test volumes are consistent with last year's data. Impact on approach: If volumes are consistent, we'll focus on internal factors rather than external demand changes.

  • Considering potential system changes, have there been any recent updates to the lab equipment or analysis software?

Why it matters: Technical changes often lead to temporary disruptions in processes. Expected answer: A minor software update was implemented last month. Impact on approach: If confirmed, we'll investigate the impact of this update on processing times.

  • Thinking about staffing, has there been any significant turnover or changes in the lab team recently?

Why it matters: Staff changes can affect efficiency and processing times. Expected answer: Staffing levels have remained stable. Impact on approach: If stable, we'll look at other factors like training or process changes.

  • Regarding test complexity, has there been an increase in the number of complex cases or new test types added to the cardiovascular panel?

Why it matters: Changes in test complexity directly impact processing time. Expected answer: No new tests have been added, but there's been a slight increase in complex cases. Impact on approach: We'll investigate if this increase in complexity is significant enough to explain the delay.

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