Oyo Product Manager Interview Questions + Guide in 2025

Oyo is a leading global hospitality company that aims to transform the way people experience travel through technology-driven solutions.

As a Product Manager at Oyo, you will play a pivotal role in shaping product strategies and executing initiatives that enhance customer experiences and drive business growth. Your key responsibilities will include defining product roadmaps, collaborating with cross-functional teams, analyzing market trends, and leveraging data to inform product decisions. A successful candidate will possess strong analytical skills, experience in agile methodologies, and a deep understanding of the hospitality industry. Traits such as strategic thinking, effective communication, and a customer-centric mindset will be critical to excel in this role, aligning with Oyo's mission of delivering exceptional value to its users.

This guide will provide you with insights and resources to prepare thoroughly for your interview, equipping you with the knowledge and confidence to showcase your fit for the role and the company.

The interview process for a Product Manager role at Oyo is structured to assess both technical and business acumen, ensuring candidates are well-rounded and fit for the dynamic environment of the company. Typically, the process consists of multiple rounds, each designed to evaluate different competencies.

1. Initial Screening

The first step in the interview process is an initial screening, which may be conducted via a phone or video call. During this round, a recruiter will review your resume and discuss your background, experiences, and motivations for applying to Oyo. This is also an opportunity for you to ask questions about the company culture and the role itself.

2. Technical Interview

Following the initial screening, candidates usually undergo a technical interview. This round focuses on assessing your analytical and problem-solving skills. Expect to encounter questions related to SQL, data analysis, and case studies that require you to demonstrate your ability to interpret data and derive actionable insights. You may also be asked to solve puzzles or guesstimates that test your logical reasoning and quantitative skills.

3. Business Case Interview

The next round typically involves a business case interview, where you will be presented with a real-world business problem relevant to Oyo's operations. You will need to analyze the situation, propose solutions, and discuss the metrics you would use to measure success. This round is crucial for evaluating your strategic thinking and understanding of product management principles.

4. Final Interview

The final interview often combines both technical and behavioral assessments. You may meet with senior management or cross-functional team members to discuss your previous projects, leadership experiences, and how you align with Oyo's values. Be prepared to articulate your thought process clearly and demonstrate your ability to work collaboratively in a team setting.

Throughout the interview process, candidates are encouraged to showcase their passion for product management and their understanding of the hospitality industry.

Next, let's delve into the specific interview questions that candidates have encountered during their interviews at Oyo.

Here are some tips to help you excel in your interview.

Understand the Role and Company Culture

Before your interview, take the time to deeply understand Oyo's mission, values, and the specific role of a Product Manager. Familiarize yourself with Oyo's product offerings, recent developments, and challenges in the hospitality industry. This knowledge will not only help you answer questions more effectively but also demonstrate your genuine interest in the company. Oyo values candidates who align with their culture of innovation and customer-centricity, so be prepared to discuss how your values and experiences resonate with theirs.

Prepare for Technical and Business Questions

As a Product Manager, you will likely face a mix of technical and business-related questions. Brush up on SQL, as many candidates reported being asked to solve SQL queries during their interviews. Focus on understanding joins, aggregate functions, and window functions, as these are commonly tested. Additionally, be ready to discuss metrics that drive business decisions, such as profitability and customer engagement. Prepare case studies that showcase your analytical skills and ability to derive insights from data.

Showcase Your Problem-Solving Skills

Expect to encounter case studies and guesstimates during your interview. Practice solving business problems and estimating metrics relevant to the hospitality industry, such as occupancy rates or revenue per available room (RevPAR). Be prepared to articulate your thought process clearly and logically. Interviewers at Oyo appreciate candidates who can think critically and approach problems methodically, so demonstrate your structured thinking and ability to break down complex issues.

Be Ready for Behavioral Questions

Oyo's interview process often includes behavioral questions aimed at assessing your fit within the company culture. Prepare to discuss your past experiences, focusing on challenges you've faced, how you've contributed to team success, and how you've handled conflicts. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight your impact and learnings.

Engage with Your Interviewers

Candidates have noted that Oyo's interviewers are personable and take the time to get to know you. Use this to your advantage by engaging in a two-way conversation. Ask insightful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if Oyo is the right fit for you. Remember, interviews are as much about you assessing the company as they are about the company assessing you.

Practice Puzzles and Logical Reasoning

Many candidates reported being asked puzzles and logical reasoning questions. These are designed to assess your analytical thinking and problem-solving abilities. Practice a variety of puzzles and be prepared to explain your reasoning as you work through them. This will help you feel more comfortable and confident during the interview.

Be Authentic and Confident

Finally, be yourself. Authenticity resonates well with interviewers. Share your passion for product management and how your unique experiences have shaped your approach. Confidence in your abilities and experiences will leave a positive impression. Remember, the interview is an opportunity for both you and Oyo to determine if you are a good match.

By following these tips and preparing thoroughly, you will position yourself as a strong candidate for the Product Manager role at Oyo. Good luck!

SQL and Data Analysis

1. Can you explain the difference between INNER JOIN and LEFT JOIN?

Understanding SQL joins is crucial for a Product Manager role, as it relates to data extraction and analysis.

How to Answer

Clearly define both types of joins and provide a brief example of when you would use each. Highlight the importance of data relationships in your analysis.

Example

"An INNER JOIN returns only the rows where there is a match in both tables, while a LEFT JOIN returns all rows from the left table and the matched rows from the right table. For instance, if I were analyzing customer orders, I would use a LEFT JOIN to ensure I capture all customers, even those who haven't placed an order."

2. Write a SQL query to find the top 5 cities with the highest revenue.

This question tests your ability to write effective SQL queries for data analysis.

How to Answer

Outline your thought process before writing the query. Discuss the importance of aggregating data and using the correct functions.

Example

"To find the top 5 cities with the highest revenue, I would use a SELECT statement with SUM to aggregate revenue, GROUP BY to categorize by city, and ORDER BY to sort the results. The query would look something like this: SELECT city, SUM(revenue) as total_revenue FROM sales GROUP BY city ORDER BY total_revenue DESC LIMIT 5;"

3. How would you handle missing values in a dataset?

This question assesses your data cleaning and preparation skills.

How to Answer

Discuss various methods for handling missing data, such as imputation or removal, and explain your reasoning for choosing a particular method based on the context.

Example

"I would first analyze the extent and pattern of the missing values. If they are minimal, I might choose to remove those records. However, if they are significant, I would consider imputation methods, such as using the mean or median for numerical data, or the mode for categorical data, to maintain the dataset's integrity."

4. Can you explain what a window function is in SQL?

This question tests your advanced SQL knowledge, which is essential for data analysis.

How to Answer

Define window functions and explain their use cases, emphasizing their importance in analytical queries.

Example

"A window function performs a calculation across a set of table rows that are somehow related to the current row. For example, using the ROW_NUMBER() function allows me to assign a unique sequential integer to rows within a partition of a result set, which is useful for ranking data without collapsing the result set."

Business Acumen and Case Studies

1. Describe a project where you increased profitability. What metrics did you use?

This question evaluates your ability to drive business results through data analysis.

How to Answer

Discuss a specific project, the metrics you tracked, and the impact of your actions on profitability.

Example

"In a project aimed at increasing profitability for a hotel chain, I analyzed booking patterns and identified peak seasons. By adjusting pricing strategies based on demand forecasts, we increased revenue by 15%. Key metrics included average daily rate (ADR) and revenue per available room (RevPAR)."

2. How would you estimate the market size for a new product?

This question assesses your analytical thinking and market research skills.

How to Answer

Outline a structured approach to estimating market size, including data sources and assumptions.

Example

"I would start by defining the target market and segmenting it based on demographics. Then, I would gather data from industry reports and surveys to estimate the number of potential customers. Finally, I would calculate the market size by multiplying the number of potential customers by the average revenue per user (ARPU)."

3. Can you walk me through a case study where you had to analyze customer feedback?

This question tests your analytical skills and ability to derive insights from qualitative data.

How to Answer

Describe the process you followed to analyze customer feedback, the tools you used, and the insights you gained.

Example

"I conducted a sentiment analysis on customer reviews using text analytics tools. By categorizing feedback into themes, I identified key areas for improvement, such as service speed and room cleanliness. This analysis led to actionable recommendations that improved our customer satisfaction scores by 20%."

4. What steps would you take to improve a product that is underperforming?

This question evaluates your problem-solving skills and product management approach.

How to Answer

Discuss a systematic approach to identifying issues and implementing improvements.

Example

"I would start by analyzing user data to identify drop-off points and gather qualitative feedback through surveys. Next, I would prioritize the issues based on their impact and feasibility. Finally, I would implement changes, such as enhancing user experience or adding features, and measure the results to ensure improvements."

Technical and Analytical Skills

1. What is overfitting in machine learning, and how can it be avoided?

This question tests your understanding of machine learning concepts, which can be relevant in product analytics.

How to Answer

Define overfitting and discuss techniques to prevent it, emphasizing the importance of model generalization.

Example

"Overfitting occurs when a model learns the noise in the training data rather than the actual signal, leading to poor performance on unseen data. To avoid overfitting, I would use techniques such as cross-validation, regularization, and pruning decision trees to ensure the model generalizes well."

2. Can you explain the concept of A/B testing and its importance?

This question assesses your knowledge of experimentation in product management.

How to Answer

Define A/B testing and explain its significance in making data-driven decisions.

Example

"A/B testing involves comparing two versions of a product to determine which one performs better based on a specific metric. It's crucial for making informed decisions about product features, as it allows us to test hypotheses and understand user preferences before rolling out changes."

3. Describe a time when you used data to make a strategic decision.

This question evaluates your ability to leverage data for decision-making.

How to Answer

Provide a specific example, detailing the data you analyzed and the decision you made based on your findings.

Example

"In a previous role, I analyzed user engagement metrics to determine the effectiveness of a new feature. The data showed a significant drop in usage after the initial launch. Based on this insight, I recommended a redesign of the feature, which ultimately led to a 30% increase in user engagement."

4. How do you prioritize features for a product roadmap?

This question assesses your strategic thinking and prioritization skills.

How to Answer

Discuss your approach to feature prioritization, including frameworks or criteria you use.

Example

"I prioritize features based on a combination of user feedback, business impact, and development effort. I often use the RICE framework (Reach, Impact, Confidence, Effort) to score each feature, ensuring that we focus on high-impact initiatives that align with our strategic goals."