Introduction
The increase in average processing time for LetsGetChecked's thyroid function test results from 3 to 5 days over the past quarter is a critical issue that demands immediate attention. This delay not only impacts customer satisfaction but also potentially affects health outcomes. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal fluctuations could explain increased processing times. Expected answer: Test volumes are consistent with last year. Impact on approach: If volumes are similar, we'll focus on internal factors.
Why it matters: New equipment or processes could introduce inefficiencies. Expected answer: A new automated testing system was implemented. Impact on approach: We'd investigate the new system's performance and integration.
Why it matters: Staff changes could affect processing efficiency. Expected answer: Normal turnover, no major changes. Impact on approach: We'd look more closely at other operational factors.
Why it matters: Stricter QC could increase processing time but improve accuracy. Expected answer: QC processes have remained consistent. Impact on approach: We'd focus on other areas of the testing pipeline.
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