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Company focus

Rally Health

What factors are contributing to the sudden increase in customer support tickets related to Rally Health's mobile app in the last two weeks?

Prepared by NextSprints

15 mins
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Problem-Solving Data Analysis User Experience Healthcare Mobile Apps InsurTech Data Analysis Root Cause Analysis Mobile Apps Healthcare Tech Customer Support
Product Management Root Cause Analysis Question: Investigating mobile app support ticket increase for healthcare platform

Introduction

The sudden increase in customer support tickets related to Rally Health's mobile app over the past two weeks signals a critical issue requiring immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem 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 and validate hypotheses, conduct root cause analysis, and propose a comprehensive 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)

  • Looking at the timing, I'm thinking there might have been a recent app update. Has there been any significant changes or updates to the app in the last month?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, an update was released 3 weeks ago. Impact on approach: If confirmed, I'd focus on changes in that update.

  • I'm curious about the nature of these tickets. Are they clustered around specific features or spread across the app?

Why it matters: Helps narrow down problem areas quickly. Expected answer: Tickets are primarily related to login and appointment scheduling. Impact on approach: I'd prioritize investigating these specific features.

  • Considering user segments, are these tickets coming from a particular demographic or user type?

Why it matters: Identifies if the issue is widespread or localized to a specific group. Expected answer: Tickets are evenly distributed across user segments. Impact on approach: I'd look for universal issues rather than segment-specific problems.

  • I'm wondering about the app's performance metrics. Have there been any significant changes in app crashes or load times recently?

Why it matters: Technical issues often lead to increased support tickets. Expected answer: App crash rate has increased by 15% in the last two weeks. Impact on approach: I'd prioritize investigating technical stability issues.

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Updated Jan 22, 2025