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Product Management Root Cause Analysis Question: Investigating customer satisfaction decline in healthcare payment solutions
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Nextsprints

Updated Jan 22, 2025

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Why has customer satisfaction with naviHealth's bundled payment solutions decreased by 20 percentage points since the latest software update?

Problem-Solving Data Analysis Change Management Healthcare Health Tech Insurance
Data Analytics Root Cause Analysis Healthcare Tech Customer Satisfaction Software Updates

Introduction

The recent 20 percentage point decrease in customer satisfaction with naviHealth's bundled payment solutions following a 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 strategic implications.

To tackle this problem, I'll follow a structured approach:

  1. Clarify the situation with targeted questions
  2. Rule out external factors
  3. Analyze the product and user journey
  4. Break down the metric
  5. Gather and prioritize data
  6. Form hypotheses
  7. Conduct root cause analysis
  8. Propose validation methods and next steps
  9. Present a decision framework
  10. Outline a resolution plan

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a correlation between the software update and the decrease in satisfaction. Can you confirm when exactly the update was released and when the satisfaction drop was first noticed?

Why it matters: This helps establish a clear timeline and potential causation. Expected answer: The update was released on [date] and the satisfaction drop was noticed within [timeframe]. Impact on approach: A close temporal relationship would strengthen the focus on the update as a primary factor.

  • Considering the scope of the issue, I'm wondering about the affected user segments. Has the satisfaction decrease been uniform across all customer types, or are certain segments more impacted?

Why it matters: This helps identify if the problem is universal or specific to certain user groups. Expected answer: The decrease is more pronounced among [specific user segment]. Impact on approach: This would guide our investigation towards features or changes that particularly affect the most impacted segments.

  • Given the significance of the drop, I'm curious about any changes in the measurement methodology. Has there been any alteration in how customer satisfaction is measured or calculated since the update?

Why it matters: This rules out potential data collection or calculation issues. Expected answer: No changes in measurement methodology have been made. Impact on approach: If there were changes, we'd need to investigate the measurement process itself.

  • Considering the nature of bundled payment solutions, I'm thinking about potential system integration issues. Have there been any reports of integration problems or data discrepancies with partner systems since the update?

Why it matters: This could indicate technical issues beyond the immediate software update. Expected answer: There have been some reports of [specific integration issues]. Impact on approach: This would shift our focus to include backend systems and data flow in our investigation.

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