Introduction
The recent 20% increase in customer service call times for Prudential Financial's annuity products is a concerning trend that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form 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: Recent changes often correlate with performance shifts. Expected answer: Yes, a new feature was added to the online portal. Impact on approach: If yes, I'd focus on the new feature's impact on call complexity.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is more pronounced in older customers. Impact on approach: If segment-specific, I'd tailor solutions to that group's needs.
Why it matters: Ensures we're comparing apples to apples in our data. Expected answer: No changes to measurement or routing. Impact on approach: If changed, we'd need to recalibrate our baseline metrics.
Why it matters: External events can drive increased customer inquiries. Expected answer: Minor market volatility, no major regulatory changes. Impact on approach: If significant external factors, we'd need to address customer education and communication strategies.
Practice similar questions
Subscribe to access the full answer