Are you currently enrolled in a University? Avail Student Discount 

NextSprints
NextSprints Icon NextSprints Logo
⌘K
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Crack Meta’s PM interviews confidently

Amazon PM Interview Course

Master Amazon’s leadership principles

Apple PM Interview Course

Prepare to innovate at Apple

Google PM Interview Course

Excel in Google’s structured interviews

Microsoft PM Interview Course

Ace Microsoft’s product vision tests

1:1 PM Coaching

Get your skills tested by an expert PM

Resume Review

Narrate impactful stories via resume

Affiliate Program

Earn money by referring new users

Join as a Mentor

Join as a mentor and help community

Join as a Coach

Join as a coach and guide PMs

For Universities

Empower your career services

Pricing
Product Management Root Cause Analysis Question: Investigating surge in Robinhood's crypto trading support tickets

What's causing the sudden increase in customer support tickets related to Robinhood's crypto trading?

Problem Solving Data Analysis Strategic Thinking Fintech Cryptocurrency Financial Services
Data Analysis Fintech Root Cause Analysis Customer Support Crypto Trading

Introduction

The sudden increase in customer support tickets related to Robinhood's crypto trading is a critical issue that demands 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 the context, then ruling out external factors before diving deep into the product ecosystem, user journey, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.

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 crypto trading feature. Has there been any significant update or new functionality added to the crypto trading platform in the last 30 days?

Why it matters: Recent changes often correlate with spikes in support tickets. Expected answer: Yes, a new cryptocurrency was added or a UI change was implemented. Impact on approach: If yes, we'd focus on that change; if no, we'd look at broader system issues.

  • Considering user segments, I'm wondering if this increase is uniform across all users. Are we seeing a disproportionate increase in tickets from any particular user segment, such as new users or high-volume traders?

Why it matters: Helps identify if the issue is widespread or localized to a specific group. Expected answer: New users are generating more tickets than usual. Impact on approach: If segmented, we'd tailor our solution to that group; if uniform, we'd look at system-wide issues.

  • Thinking about the nature of the tickets, I'm curious about the content. What are the top 3 categories of issues being reported in these crypto trading support tickets?

Why it matters: Categorization helps pinpoint specific problem areas. Expected answer: Issues related to transaction delays, pricing discrepancies, and account access. Impact on approach: We'd prioritize investigating the systems related to the most common issues.

  • Considering potential system changes, I'm wondering about our monitoring. Have there been any recent changes to our monitoring systems or the way we categorize and track support tickets?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real increase. Expected answer: No changes to monitoring or categorization systems. Impact on approach: If changed, we'd need to validate the data first; if not, we can trust the reported increase.

Subscribe to access the full answer

Monthly Plan

The perfect plan for PMs who are in the final leg of their interview preparation

$99 /month

(Billed monthly)
  • Access to 8,000+ PM Questions
  • 10 AI resume reviews credits
  • Access to company guides
  • Basic email support
  • Access to community Q&A
Most Popular - 67% Off

Yearly Plan

The ultimate plan for aspiring PMs, SPMs and those preparing for big-tech

$99 $33 /month

(Billed annually)
  • Everything in monthly plan
  • Priority queue for AI resume review
  • Monthly/Weekly newsletters
  • Access to premium features
  • Priority response to requested question
Leaving NextSprints Your about to visit the following url Invalid URL

Loading...
Comments


Comment created.
Please login to comment !