What factors are causing the average time to settlement for Beyond Finance's debt negotiation service to increase by 20 days compared to last quarter?

Introduction

The increasing average time to settlement for Beyond Finance's debt negotiation service by 20 days compared to last quarter is a critical issue that demands immediate attention. This metric directly impacts customer satisfaction, operational efficiency, and the company's bottom line. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this increase coincided with any particular time of year or economic events?

Why it matters: Seasonal patterns could explain the shift and inform our solution approach. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on adjusting resources; if not, we'd look deeper into internal processes.

• Considering the metric definition, I'm wondering if there have been any changes in how we measure or calculate the average time to settlement. Has the definition or measurement process remained consistent?

Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes in metric definition or measurement. Impact on approach: If changed, we'd need to standardize metrics; if not, we'd focus on actual performance issues.

• Thinking about recent changes, have there been any significant updates to our debt negotiation process or systems in the last quarter?

Why it matters: Recent changes could be directly impacting settlement times. Expected answer: Some minor updates, but nothing major. Impact on approach: Major changes would require immediate rollback consideration; minor changes might need fine-tuning.

• Considering user segments, I'm curious if this increase is uniform across all customer types or if it's more pronounced in specific segments?

Why it matters: Helps focus our investigation on potentially affected user groups. Expected answer: The increase is more significant in high-debt accounts. Impact on approach: If uniform, we'd look at system-wide issues; if segmented, we'd focus on specific user journey pain points.