Sample Test – Harder Analytical Questions

This test is harder than the previous ones you have seen. It has 20 multiple-choice questions designed to push your analytical thinking and problem-solving skills.

The actual job in analytical assessments is not just to get the right answer but to quickly identify the key data points, filter out noise, and apply structured reasoning. You will face questions mixing math, probability, and operational concepts — exactly the kinds of problems Uber and other marketplace companies expect you to handle.

The stakes are high. You have 60 minutes to complete this test. That means roughly 3 minutes per question, including reading, calculating, and selecting your answer. You must be both fast and accurate.

What this test covers and why it matters

This test is a mix of question types drawn from all Uber analytics assessments:

• The standard 32-question test that includes math and essay questions
• The 20-question test with math, probability, and essay questions
• The 10-question quiz focusing on math and probability

This particular test has no essay questions since those are covered in earlier sections. It focuses on multiple-choice questions to sharpen your quantitative and logical reasoning.

Every question is a simulation, created by real test takers to replicate the real Uber test experience without using proprietary questions. Think of this as your dress rehearsal before the real interview.

How to approach this test

You will find the test link below. Copy and paste it into your browser address bar rather than clicking it directly — some browsers corrupt the link when clicking inside PDFs or documents.

The password to access the test is AA341456.

https://www.classmarker.com/online-test/start/?quiz=67t5601e2a7100ff

Before you start:

• Find a quiet place where you can focus uninterrupted for 60 minutes.
• Have a calculator or spreadsheet tool ready if allowed.
• Do not rush. Accuracy matters as much as speed.
• If stuck on a question, mark it and move on. Return after answering easier questions.
• Use elimination techniques on multiple-choice to narrow down your options.
• Keep track of time — ideally, spend no more than 3 minutes per question.

The pattern you will see in the questions

The questions test your ability to:

• Perform numerical series pattern recognition
• Calculate ratios, percentages, and probabilities
• Interpret operational data and metrics in marketplace contexts
• Apply logical deduction to scenario-based problems
• Understand concepts like supply-demand balance, surge pricing, and capacity utilization

Many questions simulate real-world marketplace problems — for example, how to interpret driver availability data or customer demand spikes.

Sample question types

Here are examples of the kinds of questions you will encounter:

• What is the next number in the series: 2, 5, 11, 23, ___?
• Which of the following are prime numbers? (Select all that apply)
• If John can complete a project in 6 days working 4 hours a day, how many days working 8 hours a day?
• What is the probability of a certain event given the data?
• In a partnership, what is the ratio of profits based on investments and time?

These questions test your numerical agility and your ability to apply mathematical concepts in practical scenarios.

Why analytical tests are critical for PM interviews

Analytical ability is the foundation of good product management. You must:

• Understand metrics and KPIs
• Interpret data patterns and anomalies
• Evaluate trade-offs quantitatively
• Make decisions grounded in evidence, not guesswork

Uber and other marketplace companies use these tests to screen candidates who can handle the complexity of balancing supply and demand, pricing dynamics, and operational constraints.

Passing this test signals you can think clearly under pressure and apply quantitative reasoning — a must-have skill for any PM.

What comes after this test

After the analytical test, you will likely face behavioral and product sense interviews. The analytical test filters for your quantitative chops; the later rounds test your judgment and communication.

Use this test as a stepping stone. Practice until you can finish comfortably within 60 minutes with 90%+ accuracy.

Common pitfalls and how to avoid them

Pitfall 1: Spending too much time on one question.
You have limited time. If a question is unclear or time-consuming, mark it and move on. Return later if time permits.

Pitfall 2: Ignoring the question’s context.
Many questions embed operational details (like surge pricing or capacity constraints). Read carefully to understand what is being asked.

Pitfall 3: Guessing blindly.
Use elimination first. Remove obviously wrong answers to improve your odds if guessing.

Pitfall 4: Misinterpreting data units or scales.
Watch for units (percentages, ratios, counts) and time frames (hourly, daily, weekly) in the question.

How this test fits in your PM interview journey

This test builds the quantitative foundation you will rely on throughout your PM career. Marketplace companies like Uber, Swiggy, and Ola use data-driven decision-making daily.

Your ability to analyze data quickly and accurately will differentiate you:

• In interviews, to clear screening rounds
• In on-the-job decisions about pricing, supply scaling, and feature impact
• In cross-functional communication with data scientists and engineers

Practice tips for analytical test preparation

• Practice mental math and quick calculations regularly
• Review probability and statistics basics (expected value, conditional probability)
• Understand marketplace dynamics: supply, demand, surge pricing
• Use sample questions from previous tests to build confidence
• Time yourself strictly during practice tests

Test yourself: Judgment exercise and practice exercise pair

Where to go next

• If you want to sharpen your quantitative skills: Aptitude and Logical Reasoning
• If you want to practice more marketplace case studies: Marketplace Dynamics and Analytics
• If you want to improve your test-taking strategy: Interview Preparation Techniques
• If you want to understand operational KPIs in marketplaces: Metrics and KPIs for Marketplaces
• If you want to prepare for product sense interviews: Product Sense and Prioritization

PL alumni now work at Flipkart, Razorpay, Swiggy, PhonePe, Amazon, Microsoft, and 30+ other companies.