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Product Management Root Cause Analysis Question: Investigating SAG-AFTRA health plan enrollment decline
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Nextsprints

Updated Jan 22, 2025

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Why has SAG-AFTRA's health plan enrollment declined by 10% compared to the same period last year?

Data Analysis Problem-Solving Strategic Thinking Entertainment Labor Unions Healthcare
Data Analysis Root Cause Analysis Entertainment Industry Membership Retention Union Benefits

Introduction

The decline in SAG-AFTRA's health plan enrollment by 10% compared to last year is a concerning trend that requires thorough investigation. To address this issue, I'll employ a systematic approach to identify, validate, and address the root cause while considering both immediate and long-term implications for the union's health coverage.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to eligibility criteria. Have the requirements for qualifying for the health plan been adjusted in the past year?

Why it matters: Changes in eligibility could directly impact enrollment numbers. Expected answer: No significant changes to eligibility criteria. Impact on approach: If criteria haven't changed, we'll focus on other factors affecting enrollment.

  • Given the industry landscape, I'm curious about overall employment trends. Has there been a decrease in production volume or working days for SAG-AFTRA members over the past year?

Why it matters: Employment levels directly affect members' ability to qualify for health coverage. Expected answer: Some decrease in production due to industry shifts. Impact on approach: If confirmed, we'll explore how to address the root cause of reduced work opportunities.

  • Thinking about member demographics, I'm interested in the age distribution of the membership. Has there been a shift in the average age of SAG-AFTRA members over the past year?

Why it matters: An aging membership might be transitioning to Medicare, affecting enrollment. Expected answer: Slight increase in average member age. Impact on approach: If true, we'll need to consider strategies to attract younger members or adjust the plan for an aging population.

  • Considering potential data issues, I'm wondering about the accuracy of our enrollment tracking. Have there been any changes to the systems or processes used to measure health plan enrollment in the past year?

Why it matters: Ensures we're comparing apples to apples in our year-over-year analysis. Expected answer: No significant changes to enrollment tracking systems. Impact on approach: If confirmed, we can rule out data inconsistencies and focus on actual enrollment trends.

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