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:
- Clarify the situation with targeted questions
- Rule out external factors
- Analyze the product and user journey
- Break down the metric
- Gather and prioritize data
- Form hypotheses
- Conduct root cause analysis
- Propose validation methods and next steps
- Present a decision framework
- 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)
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.
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.
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.
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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