Why has the average transcription time for Abridge's medical dictation feature increased by 20 seconds since the latest software update?

Introduction

The recent 20-second increase in Abridge's medical dictation transcription time is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications for our medical transcription feature.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to the latest software update. Can you confirm when exactly this update was rolled out and what changes it included?

Why it matters: Pinpointing the update's timing and content helps establish a clear cause-effect relationship. Expected answer: The update was deployed two weeks ago and included speech recognition algorithm improvements. Impact on approach: If confirmed, we'll focus on the update's components; if not, we'll broaden our investigation.

• I'm curious about the consistency of this increase. Are we seeing a uniform 20-second increase across all transcriptions, or is there variability?

Why it matters: This helps determine if the issue is systemic or affects specific user segments or content types. Expected answer: The increase varies, ranging from 15 to 25 seconds across different transcriptions. Impact on approach: Variability might indicate user-specific or content-specific issues rather than a universal technical problem.

• Considering user behavior, have we observed any changes in the types or lengths of dictations being submitted since the update?

Why it matters: User behavior shifts could explain the increased transcription time without indicating a technical issue. Expected answer: No significant changes in dictation patterns have been observed. Impact on approach: If user behavior is stable, we'll focus more on technical and system-related hypotheses.

• I'm wondering about our measurement methodology. Has there been any change in how we calculate or record transcription times?

Why it matters: Ensures the observed increase is real and not due to measurement discrepancies. Expected answer: No changes in measurement methodology have been implemented. Impact on approach: If confirmed, we can rule out measurement errors and focus on actual performance issues.