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I applied via Approached by Company and was interviewed in Mar 2024. There was 1 interview round.
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...
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
I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.
How google sorts the results set , best way to come up with a sorting algo
Top trending discussions
My favorite product is the iPhone. Metrics I would track include user engagement, retention rate, customer satisfaction, and revenue growth.
User engagement: tracking daily active users, time spent on the device, and frequency of app usage.
Retention rate: monitoring how many users continue to use the product over time.
Customer satisfaction: collecting feedback through surveys, reviews, and customer support interactions.
...
Improve revenue for MB platform
Approximately 1.5 billion bottles of shampoo are sold in India annually.
India has a population of over 1.3 billion people, with a large percentage using shampoo regularly.
Assuming an average person uses one bottle of shampoo per month, the estimated number of bottles sold annually is around 1.5 billion.
Factors such as income levels, hair type, and cultural practices may affect the usage of shampoo in different regions
Competitor benchmarking and understanding business
Discussion on the take home assignment case study for competitor benchmarking
Discussion on various avenues one can try within 99acres for business growth
I applied via Naukri.com and was interviewed before Apr 2023. There were 4 interview rounds.
Product case study with a couple of questions
I applied via Campus Placement
Design a UX mockup for displaying nearest outlet for a multi-chain restaurant
Clarify if the user is searching for a specific location or their current location
Include a search bar and filters for cuisine, distance, and ratings
Display outlet details such as address, phone number, and hours of operation
Use map integration to show outlet locations and directions
Consider mobile-first design and optimize for smaller screens
The price of Swiggy's fitness meals should be competitive, targeting health-conscious individuals. The customer journey should focus on convenience and customization. The supply chain design should prioritize freshness and timely delivery.
Price should be competitive to attract customers
Target health-conscious individuals who prioritize fitness and healthy eating
Customer journey should focus on convenience and customiza...
I applied via Campus Placement
Considerations and pricing for designing Uber's Subscription Service, including driver matching algorithm and administrative considerations.
Key considerations: target market, pricing strategy, benefits and features, competition analysis
Pricing: determine subscription tiers, pricing models (e.g., flat fee, usage-based), value-based pricing
Driver matching algorithm: consider factors like proximity, availability, driver r...
To differentiate myself, I will focus on the unique value proposition of my idea and highlight its potential impact on the business.
I will start by clearly defining the problem my idea solves and how it aligns with the company's goals.
I will then highlight the unique features and benefits of my idea that set it apart from the other product/feature ideas.
I will provide data and metrics to support my idea and show its po...
Parameters for designing restaurant recommendation algorithm for Swiggy
User's location and distance from the restaurant
User's previous orders and ratings
Restaurant's popularity and ratings
Cuisine type and availability
Time of day and day of the week
Special offers and discounts
Delivery time and availability
User's dietary preferences and restrictions
Designing a user-friendly menu page for restaurants on Swiggy to enhance customer experience.
Include high-quality images of dishes
Provide detailed descriptions of dishes
Allow customers to filter by cuisine, price, and dietary restrictions
Include ratings and reviews from other customers
Enable easy customization of dishes
Provide recommendations based on customer preferences
Ensure the page is mobile-friendly
New users will be educated through onboarding, tutorials, FAQs, and personalized recommendations.
Create an onboarding process that guides users through the product's features and benefits
Develop tutorials that demonstrate how to use the top-selling items
Provide a comprehensive FAQ section that addresses common questions and concerns
Use personalized recommendations to suggest top-selling items based on user behavior and
Our design will incorporate dynamic pricing strategies and personalized discounts based on customer behavior.
We will analyze customer behavior and purchase history to offer personalized discounts.
We will implement dynamic pricing strategies to adjust prices based on market demand and competition.
We will communicate price-cuts and discounts effectively through targeted marketing campaigns.
We will continuously monitor an...
I applied via Campus Placement
I would recommend restaurants based on the user's location, cuisine preferences, and popular restaurants in the area.
Use the user's phone number to determine their location
Ask the user for their cuisine preferences during the onboarding process
Recommend popular restaurants in the area based on user reviews and ratings
Use machine learning algorithms to personalize recommendations based on user behavior
If swiggy wants to increase the average value per order, how will you go about it?
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