Welcome to Interview Master! 👋

I'm here to help you practice Connect Marketplace Payout Performance Insights - a real SQL interview question from Stripe.

Problem Overview

You are a Product Analyst collaborating with the Stripe Connect team to evaluate the performance of seller payouts within the marketplace ecosystem. Your team is focused on understanding payout success rates and identifying any segments that may require intervention to improve their payout performance. By analyzing the data, you aim to provide actionable insights that will help enhance payout success across different seller segments.

This problem will test your SQL skills in:

• Complex query writing and optimization
• Data analysis and manipulation
• Real-world database scenarios used in Stripe interviews
• Advanced SQL concepts and best practices

What You'll Learn

By solving this Stripe SQL interview question, you'll gain experience with:

• Writing efficient SQL queries for production databases
• Understanding complex data relationships and schema design
• Applying SQL skills in a Stripe-style technical interview setting
• Problem-solving techniques used by data scientists and analysts at top tech companies

Getting Started

Use the SQL editor on the right to:

1. Explore the database schema and table structures
2. Write and test your SQL queries in a real SQLite environment
3. Get instant feedback on your query results
4. Learn from hints and detailed explanations

Ready to practice this Stripe SQL challenge? Let's dive in! 🚀

Excellent! Let's break down "Connect Marketplace Payout Performance Insights" step by step.

Problem Analysis

Company: Stripe
Problem Type: SQL Interview Question
Skill Level: Professional interview preparation

Key Requirements

You are a Product Analyst collaborating with the Stripe Connect team to evaluate the performance of seller payouts within the marketplace ecosystem. Your team is focused on understanding payout success rates and identifying any segments that may require intervention to improve their payout performance. By analyzing the data, you aim to provide actionable insights that will help enhance payout success across different seller segments.

Approach Strategy

For this Stripe SQL interview question, consider:

1. Data Exploration: Start by examining the table schemas to understand the data relationships
2. Query Planning: Think about which tables you'll need to JOIN and what conditions to apply
3. SQL Optimization: Consider performance implications for large datasets (important for Stripe scale)
4. Edge Cases: Think about NULL values, duplicate data, and boundary conditions

Next Steps

1. Click on the "Schema" tab in the SQL editor to examine the table structures
2. Review the sample data to understand the data patterns
3. Start with a basic SELECT statement and build complexity gradually
4. Test your query and iterate based on the results

This type of SQL problem is commonly asked in Stripe technical interviews for data analyst, data scientist, and software engineer positions. Take your time to understand the problem thoroughly before writing your solution.

Ready to start coding? 💻