Introduction
Verbit's average turnaround time for human-verified transcripts has increased from 24 to 36 hours in the past quarter, signaling a significant decline in operational efficiency. This issue directly impacts customer satisfaction and Verbit's competitive edge in the transcription market. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategic 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 spikes could strain resources and explain the slowdown. Expected answer: Yes, there's been a 30% increase in volume. Impact on approach: If confirmed, we'd need to focus on scaling solutions.
Why it matters: Software changes could introduce bugs or inefficiencies. Expected answer: A new version of the transcription software was rolled out 6 weeks ago. Impact on approach: If true, we'd prioritize investigating the software update's impact.
Why it matters: Changes in the workforce could affect productivity and turnaround time. Expected answer: There's been a 15% increase in new hires over the last quarter. Impact on approach: If confirmed, we'd focus on training and onboarding processes.
Why it matters: Stricter quality controls could slow down the process. Expected answer: A new double-check system was implemented for medical transcripts. Impact on approach: If true, we'd need to balance quality improvements with efficiency.
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