Introduction
The increased processing time for Cohere Health's clinical review requests since the latest software update 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 implications for our product ecosystem.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Establishes a clear timeline for the issue onset. Expected answer: A specific date or timeframe for the update. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Determines the severity and scope of the issue. Expected answer: A percentage increase and whether it's universal or limited. Impact on approach: Guides the prioritization of our investigation and response.
Why it matters: Helps identify if the issue is systemic or specific to certain user groups. Expected answer: Information on affected user segments or request types. Impact on approach: Allows for more targeted investigation and solutions.
Why it matters: Rules out external factors that could be influencing processing times. Expected answer: Information on recent regulatory changes, if any. Impact on approach: Helps distinguish between internal software issues and external compliance factors.
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