Introduction
The sudden 20% spike in workers' compensation claims for The Hartford's manufacturing industry clients over the past 30 days is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and clients.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, user journey, and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 trends could explain the spike and influence our solution approach. Expected answer: No significant difference from last year's pattern. Impact on approach: If true, we'd focus more on recent changes or events.
Why it matters: External factors could be driving the increase across all insurers. Expected answer: No major regulatory changes in the past few months. Impact on approach: If false, we'd need to investigate how our product adapts to regulatory changes.
Why it matters: Technical issues could be causing misreporting or faster processing. Expected answer: A minor update was implemented 45 days ago. Impact on approach: If true, we'd prioritize technical investigation of the update's impact.
Why it matters: Changes in client composition could explain the increase. Expected answer: No significant changes in client mix or size. Impact on approach: If false, we'd need to analyze how different client segments interact with our product.
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