MakeMyTrip Product Manager Intern Interview Questions and Answers

Random things , impossible things.

Q1. How to make product better?
Ans. 
To make a product better, gather feedback from users, analyze data, prioritize features, and iterate on improvements.
• Gather feedback from users through surveys, interviews, and usability testing.

• Analyze data such as user behavior, engagement metrics, and customer support tickets to identify pain points and areas for improvement.

• Prioritize features based on impact, feasibility, and user needs.

• Iterate on improvements thr...read more
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Q2. How do you set ROI etc
Ans. 
Setting ROI involves analyzing costs and benefits to determine the return on investment for a product or project.
• Identify key metrics for measuring ROI, such as revenue generated, cost savings, or customer acquisition costs.

• Calculate the initial investment and ongoing costs associated with the product or project.

• Estimate the potential revenue or savings that the product or project will generate over a specific period o...read more
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Q1. How will you improve uber ride experience
Ans. 
By implementing features such as real-time driver ratings, personalized recommendations, and improved driver training programs.
• Implement real-time driver ratings to ensure quality service

• Offer personalized recommendations based on user preferences and past rides

• Enhance driver training programs to improve professionalism and customer service

• Introduce in-app feedback system for continuous improvement
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Q1. How would you increase the conversion rate on Call Now button on JD listings?
Ans. 
To increase conversion rate on Call Now button on JD listings, focus on improving visibility, adding compelling call-to-action, optimizing for mobile, and testing different placements.
• Improve visibility of the Call Now button by making it stand out with contrasting colors or larger size

• Add a compelling call-to-action next to the button, such as 'Call now for a free consultation'

• Optimize the button for mobile users by e...read more
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Q2. Walk me through your profile, experience and impact you have been able to deliver?
Ans. 
Experienced product manager with a track record of delivering impactful results.
• Over 5 years of experience in product management roles

• Led cross-functional teams to successfully launch 3 new products, resulting in a 20% increase in revenue

• Implemented customer feedback system that led to a 15% improvement in customer satisfaction

• Developed and executed product roadmap that resulted in a 30% increase in user engagement
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Profit of a company going down by 20%. Analyse reasons

Q1. Basic HR questions
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Q1. 1. Design a table reservation feature for Swiggy 2. Among your recently used apps, which one do you like & why 3. What resources do you use to stay up to date with prod mgmt
Ans. 
Designing a table reservation feature for Swiggy
• Allow users to search for restaurants with available tables

• Provide real-time availability and booking confirmation

• Allow users to specify their preferred table size and location

• Enable users to view and select available time slots

• Integrate with restaurant partners' reservation systems
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Q1. 1. RCA on why conversion is dropping in Flipkart 2. Design a navigational tool for a 3 year old 3. North star metric for Spotify
Ans. 
1. RCA on why conversion is dropping in Flipkart
• Analyze user behavior and identify any changes in the user journey

• Investigate any technical issues or bugs that may be affecting the conversion rate

• Review the effectiveness of marketing campaigns and promotions

• Analyze competitor strategies and pricing

• Collect feedback from customers to understand their pain points and areas of improvement
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Number of lifts in 40 storey building, optimise the lifts to reduce waiting time

Q1. What is regression
Ans. 
Regression is a statistical technique used to determine the relationship between variables.
• Regression helps in predicting the value of one variable based on the values of other variables.

• It is commonly used in forecasting, trend analysis, and determining causal relationships.

• Examples include linear regression, logistic regression, and polynomial regression.
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