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Product Management Root Cause Analysis Question: Investigating sudden increase in crypto staking support tickets
Image of author vinay

Vinay

Updated Nov 19, 2024

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What factors led to the sudden 50% increase in customer support tickets related to TokoCrypto's staking feature yesterday?

Data Analysis Problem-Solving User Experience Design Cryptocurrency Fintech Blockchain
User Experience Root Cause Analysis Feature Optimization Cryptocurrency Support Metrics

Introduction

The sudden 50% increase in customer support tickets related to TokoCrypto's staking feature yesterday is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our product strategy.

Our analysis will cover issue identification, hypothesis generation, validation, and solution development. We'll start by clarifying the context, then rule out external factors before diving deep into the product ecosystem, user journey, and potential internal causes. Throughout this process, we'll prioritize data-driven decision-making and cross-functional collaboration.

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 this could be related to a recent product update. Have there been any changes to the staking feature in the past week?

Why it matters: Recent changes often correlate with sudden spikes in support tickets. Expected answer: Yes, a minor UI update was rolled out two days ago. Impact on approach: If confirmed, we'd focus on the UI changes as a primary area of investigation.

  • Given the magnitude of the increase, I'm wondering about system performance. Have we observed any unusual patterns in server load or response times coinciding with this spike?

Why it matters: Technical issues can often manifest as increased support tickets. Expected answer: There was a brief period of increased latency yesterday morning. Impact on approach: This would lead us to investigate potential backend issues or capacity constraints.

  • Considering user behavior, has there been any significant change in the number of users attempting to stake or the average amount being staked?

Why it matters: Changes in user behavior can sometimes trigger unexpected issues or reveal underlying problems. Expected answer: We've seen a 20% increase in new users attempting to stake in the past 48 hours. Impact on approach: This would prompt us to examine onboarding flows and potential friction points for new users.

  • I'm curious about the nature of these support tickets. Are they clustered around a specific issue or spread across various concerns?

Why it matters: Understanding the types of issues reported helps narrow down potential causes. Expected answer: About 70% of the tickets mention difficulty in completing the staking process. Impact on approach: This would focus our investigation on the staking workflow and potential bottlenecks.

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