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Product Management Root Cause Analysis Question: Investigating sudden increase in support tickets for rent collection feature
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Nextsprints

Updated Jan 22, 2025

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Asked at Mynd

15 mins

What factors are contributing to the sudden 30% increase in customer support tickets related to Mynd's rent collection feature?

Data Analysis Problem Solving User Experience Design Real Estate Property Management FinTech
User Experience Data Analysis Root Cause Analysis PropTech Customer Support

Introduction

A sudden 30% increase in customer support tickets related to Mynd's rent collection feature signals a critical issue that demands immediate attention. This surge in support requests not only impacts customer satisfaction but also strains our support resources and potentially threatens our core value proposition. To address this challenge, 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.

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 rent collection process. Has there been any update to the feature in the last 30 days?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a minor UI update was implemented. Impact on approach: If confirmed, we'd focus on the UI change as a primary hypothesis.

  • Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific type of user (e.g., new users, long-term users, or property managers)?

Why it matters: Helps identify if the issue is isolated to a particular user group. Expected answer: Tickets are primarily from newer users. Impact on approach: If true, we'd investigate onboarding processes and new user experiences.

  • Given the nature of rent collection, I'm wondering about the timing of this increase. Does it coincide with the beginning of a new month or a specific billing cycle?

Why it matters: Rent collection is often cyclical, and timing could reveal systemic issues. Expected answer: The increase started mid-month, not aligning with typical rent cycles. Impact on approach: If confirmed, we'd look beyond cyclical factors to identify the cause.

  • Thinking about potential system issues, have there been any reported outages or performance degradations in our payment processing system?

Why it matters: Technical issues can directly impact user experience and support ticket volume. Expected answer: No significant outages, but some intermittent slowdowns were noted. Impact on approach: If true, we'd prioritize investigating backend performance and stability.

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