Monday PM Analytical Interview: Metrics, SQL, and Case Questions

TL;DR

Monday's PM analytical interview assesses strategic thinking, data analysis, and communication. Prepare for 3 SQL queries, 2 case studies, and 5 metric-based questions within a 60-minute session, typically conducted 10 business days after application submission. Salary range for successful candidates: $140,000 - $180,000/year.

Who This Is For

This article is tailored for product management professionals with 2-5 years of experience preparing for Monday's analytical interview, particularly those with a background in data-driven product decisions seeking to understand the specific challenges and preparation strategies for this stage.

What Is the Structure of Monday's PM Analytical Interview?

Monday's PM analytical interview is divided into three parts: Metrics Interpretation (20%), SQL Query Writing (30%), and Case Study Presentation (50%). In a 2022 debrief, a hiring manager emphasized, "We're not just testing SQL skills; we're assessing how you think through complex data problems, like the 'user engagement drop' case we saw in Q1."

How Do I Prepare for the Metrics Interpretation Section?

Focus on interpreting A/B test results and identifying key metrics for product health (e.g., retention rates, funnel drop-offs). Not just about knowing metrics, but interpreting their implications for product strategy. For example, a candidate once confused "correlation with causation" in a metric analysis, highlighting the need for nuanced thinking.

What SQL Queries Can I Expect, and How Should I Approach Them?

Expect queries involving user behavior analysis, funnel optimization, and cohort studies. Use the "Read, Understand, Break Down, Solve" (RUBDS) method to tackle each query systematically. In a past interview, a candidate incorrectly joined two tables without considering data redundancy, a common mistake.

How Are the Case Studies Structured, and What Do Interviewers Look For?

Case studies are based on real Monday product scenarios (e.g., increasing onboarding completion rates). Interviewers look for a clear problem definition, data-driven approach, and prioritized solutions. A notable fail was a candidate who proposed solutions without grounding them in potential data outcomes.

How Much Time Do I Have to Prepare After Being Scheduled for the Interview?

Candidates are typically given 10 business days. Allocate 30 hours for preparation, with 10 hours dedicated to SQL, 10 to metrics, and 10 to case study practice, using resources like the PM Interview Playbook for structured case analysis.

Preparation Checklist

  • Review Monday's Product Suite: Understand current features and challenges.
  • SQL Refresher: Focus on subqueries, joins, and aggregation functions.
  • Metrics Deep Dive: Study A/B testing, funnel analysis, and retention metrics.
  • Case Study Practice: Use the PM Interview Playbook to work through Monday-specific scenarios, such as optimizing workflow automation adoption.
  • Mock Interview: Schedule at least one with a current PM.
  • Whiteboarding Practice: For SQL and case study walkthroughs.

Mistakes to Avoid

BAD: Overcomplicating SQL Queries

  • Example: Using multiple joins for a simple filtration task.
  • GOOD: Keep queries lean, focusing on the exact question asked.

BAD: Presenting Solutions Without Data Backup

  • Example: Suggesting a feature redesign based on intuition.
  • GOOD: Ground every proposal in potential data outcomes or historical metrics.

BAD: Not Practicing Time Management

  • Example: Spending 20 minutes on one SQL query, leaving none for the next.
  • GOOD: Allocate time evenly across all questions and practice under timed conditions.

FAQ

Q: Can I Use a Database Diagram During the SQL Section?

A: No, diagrams are not provided. Judgment: Candidates must understand schema from description alone, emphasizing the need for quick mental modeling.

Q: Are Case Studies Released in Advance?

A: No, they're revealed during the interview. Judgment: Preparation should focus on methodologies, not memorization, highlighting the importance of adaptable thinking.

Q: What's the Average Salary for a Successful Candidate?

A: Between $140,000 and $180,000 per year, depending on experience. Judgment: Compensation reflects the role's strategic and analytical demands, aligning with market standards for similar tech positions.

About the Author

Johnny Mai is a Product Leader at a Fortune 500 tech company with experience shipping AI and robotics products. He has conducted 200+ PM interviews and helped hundreds of candidates land offers at top tech companies.

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