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Company focus

bolttech

What factors contributed to the sudden 30% increase in customer support calls for bolttech's gadget insurance claims process this month?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Customer Experience Insurance Technology Customer Service User Experience Product Analytics Root Cause Analysis Customer Support Insurtech
Product Management Root Cause Analysis Question: Investigating sudden increase in customer support calls for gadget insurance claims

Introduction

The sudden 30% increase in customer support calls for bolttech's gadget insurance claims process this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

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 recent change in the claims process. Has there been any update to the claims workflow or policy in the last 30-60 days?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new step was added to the claims process. Impact on approach: If true, I'd focus on analyzing the impact of this change.

  • Considering user segments, I'm curious about the distribution of calls. Are we seeing an increase across all user segments or is it concentrated in specific groups?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily in new customers. Impact on approach: If true, I'd investigate onboarding and communication for new users.

  • Thinking about seasonality, I'm wondering if there's any historical pattern of increased claims during this time of year. Does this 30% increase align with any previous seasonal trends?

Why it matters: Distinguishes between cyclical patterns and anomalies. Expected answer: No significant seasonal pattern in previous years. Impact on approach: If true, I'd focus on recent changes rather than cyclical factors.

  • Considering system performance, I'm curious about any technical issues. Have there been any reported outages or slowdowns in the claims processing system recently?

Why it matters: Technical issues can directly impact user experience and support call volume. Expected answer: No major outages, but some intermittent slowdowns. Impact on approach: If true, I'd investigate the impact of system performance on user behavior.

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Updated Mar 29, 2025