Introduction
Global Music Rights' recent spike in unmatched performances reported by radio stations using our tracking software presents a critical challenge. This issue directly impacts our core business of ensuring proper rights management and compensation for artists. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both immediate 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: Software changes could directly impact performance matching. Expected answer: Yes, a recent update was implemented. Impact on approach: If confirmed, we'd focus on the update's specifics and potential bugs.
Why it matters: The scale helps prioritize the issue and gauge its impact. Expected answer: A significant increase, perhaps 20-30%. Impact on approach: A larger spike might indicate a systemic issue rather than an isolated incident.
Why it matters: This helps identify if the issue is universal or category-specific. Expected answer: The spike is more pronounced in certain genres. Impact on approach: Genre-specific issues might point to problems with particular data sources or matching algorithms.
Why it matters: This helps determine if it's a widespread issue or limited to certain user segments. Expected answer: The issue is more prevalent among smaller, independent stations. Impact on approach: User-specific problems might indicate issues with onboarding or user education.
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