How can we explain the sudden 25% drop in customer satisfaction scores for Broadridge's Wealth Management technology services compared to last year's ratings?

Introduction

A 25% drop in customer satisfaction scores for Broadridge's Wealth Management technology services is a significant issue that demands immediate attention and thorough analysis. This sudden decline could have far-reaching implications for customer retention, revenue, and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent product update or change. Has there been any significant product release or update in the last 3-6 months?

Why it matters: Recent changes often correlate with satisfaction shifts. Expected answer: Yes, a major update was released 4 months ago. Impact on approach: If true, I'd focus on analyzing the specific changes in that update.

• Considering the scale of the drop, I'm wondering about data accuracy. Has there been any change in how we measure or collect customer satisfaction data?

Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in measurement methodology. Impact on approach: If unchanged, we can rule out measurement issues and focus on actual satisfaction factors.

• Given the nature of wealth management services, I'm curious about market conditions. Have there been any significant market downturns or volatility that might affect client portfolios?

Why it matters: External factors can heavily influence satisfaction in financial services. Expected answer: Market has been relatively stable. Impact on approach: If stable, we'd focus more on internal factors rather than market-driven dissatisfaction.

• Thinking about user segments, I'm wondering if this drop is uniform across all client types. Do we see any differences in satisfaction scores between different user segments (e.g., high net worth vs. mass affluent)?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more pronounced in the high net worth segment. Impact on approach: If segmented, we'd tailor our analysis and solutions to the most affected groups.