Why has Komodo Health's Healthcare Map experienced a 15% drop in data refresh rates over the past month?

Introduction

Komodo Health's Healthcare Map, a critical product for data-driven healthcare insights, has experienced a concerning 15% drop in data refresh rates over the past month. This issue directly impacts the product's core value proposition of providing timely, accurate healthcare information. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both immediate and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in data sources or processing. Has there been any modification to our data pipeline or sources in the last 1-2 months?

Why it matters: Changes in data infrastructure often lead to performance issues. Expected answer: Yes, we recently onboarded a new data provider. Impact on approach: If confirmed, I'd focus on integration issues and data quality checks.

• Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all user types or concentrated in specific segments?

Why it matters: Helps identify if the issue is systemic or related to specific use cases. Expected answer: The drop is more pronounced in certain specialties or geographic regions. Impact on approach: I'd investigate unique characteristics of affected segments.

• Thinking about system health, I'm wondering about our monitoring setup. Have there been any alerts or anomalies in our system performance metrics coinciding with this drop?

Why it matters: System issues could be causing or contributing to the refresh rate problem. Expected answer: Some unusual CPU spikes have been observed during data processing. Impact on approach: I'd prioritize technical investigation and optimization.

• Reflecting on recent product changes, I'm curious if we've rolled out any new features or updates that might affect data processing. Have there been any significant product releases in the past month?

Why it matters: New features can sometimes have unintended consequences on existing functionality. Expected answer: A new data visualization feature was launched three weeks ago. Impact on approach: I'd examine the new feature's impact on data refresh processes.