Topic – Guesstimate Questions Asked in Analytics Interview

Solving a guesstimate question typically involves breaking down the problem into smaller components and making reasonable assumptions based on your knowledge and logical reasoning. Here’s a general approach you can follow to solve guesstimate questions:

1. Understand the question: Read the question carefully and identify the key components you need to estimate.
2. Break down the problem: Divide the question into simpler components that you can estimate more easily.
3. Make reasonable assumptions: Based on your general knowledge and any specific information provided, make educated assumptions to simplify the estimation process.
4. Use a structured approach: Organize your thoughts and calculations in a structured manner. You can use frameworks such as population estimation, user behavior analysis, or market trend assessment depending on the context of the question.
5. Round numbers for simplicity: While performing calculations, round off complex figures to simpler numbers for easier computation and estimation.
6. Validate your answer: After calculating the estimate, ensure that your answer is within the range of reasonability. Cross-check your assumptions and calculations to verify the plausibility of your estimate.
7. Communicate your approach: When presenting your answer, clearly explain your assumptions, calculations, and the reasoning behind your approach. Walk the interviewer through your logical thinking to demonstrate your problem-solving skills effectively.

Remember, the main aim of a guesstimate question is not to arrive at an exact answer but to assess your ability to think critically, make reasonable assumptions, and communicate your thought process clearly. Practice guesstimate questions regularly to improve your estimation skills and confidence in solving such problems.

Let’s solve some Guesstimate Questions Asked in Analytics Interview

Estimate the number of pizza deliveries made in your city each day.

Sure, let’s approach this guesstimate question step by step.

1. Estimate the population of your city:
   • Let’s say the population of the city is around 1 million people.
2. Consider the average household size:
   • Assume an average of 4 people per household.
3. Estimate the percentage of people ordering pizza:
   • Let’s assume that around 10% of households order pizza regularly.
4. Assume the frequency of pizza orders:
   • Let’s say on average, a household orders pizza once every two weeks, which is approximately 26 times a year.
5. Consider the number of slices in a pizza and the number of slices consumed per person:
   • Assume a large pizza has 8 slices, and each person consumes 2 slices on average.

Now, let’s calculate the number of pizza deliveries:

Number of households = Population / Average household size = 1,000,000 / 4 = 250,000

Number of households ordering pizza regularly = 10% of 250,000 = 25,000

Number of pizza orders per year = 25,000 * 26 = 650,000

Number of pizzas per order = Number of people * Slices per person / Slices per pizza = 4 * 2 / 8 = 1

Total pizza deliveries per day = 650,000 / 365 = 1781 (approx.)

So, in this estimation, there might be around 1781 pizza deliveries made in the city each day. This is a simplified estimation, and actual numbers may vary based on various factors such as local pizza consumption habits, special occasions, or seasonal variations.

Estimate the annual revenue generated by a popular social media platform.

Estimating the annual revenue of a popular social media platform involves considering various factors and making certain assumptions. Here’s a step-by-step approach:

1. Estimate the number of active users: Let’s assume the platform has 1 billion active users.
2. Estimate the average revenue per user (ARPU): This includes advertising revenue, subscription fees (if any), and other revenue sources. Let’s assume an ARPU of $10 per user per year.
3. Consider additional revenue streams: If the platform offers premium features or services, estimate the revenue generated from those. Let’s assume an additional $2 per user annually from premium features.
4. Factor in advertising revenue: Estimate the average revenue generated per user from advertising. Assuming a portion of the revenue comes from advertising, let’s assume an additional $5 per user per year from advertising.

Now, let’s calculate the estimated annual revenue:

Total revenue from user base = Number of users * (ARPU + revenue from premium features) = 1,000,000,000 * ($10 + $2) = $12 billion

Total advertising revenue = Number of users * revenue per user from advertising = 1,000,000,000 * $5 = $5 billion

Estimated annual revenue = Total revenue from user base + Total advertising revenue = $12 billion + $5 billion = $17 billion

So, based on these assumptions, the estimated annual revenue generated by the popular social media platform would be approximately $17 billion. Keep in mind that this is a simplified estimation, and the actual revenue can vary based on various other factors such as market fluctuations, user engagement, and changes in the platform’s business model.

Estimate the number of cars in your country.

Estimating the number of cars in a country involves considering various demographic and economic factors. Here’s a simplified approach to make this estimation:

1. Estimate the total population of the country: Let’s assume the population of the country is 100 million.
2. Consider the average household size: Assume an average of 4 people per household.
3. Estimate the percentage of households owning at least one car: This can vary widely based on the country’s economic development, infrastructure, and cultural factors. Let’s assume 30% of households own at least one car.
4. Calculate the number of cars per household: On average, let’s assume each car-owning household has 1.5 cars.

Now, let’s calculate the estimated number of cars in the country:

Number of households = Total population / Average household size = 100,000,000 / 4 = 25,000,000

Number of car-owning households = 30% of 25,000,000 = 7,500,000

Total number of cars = Number of car-owning households * Cars per household = 7,500,000 * 1.5 = 11,250,000

So, based on these assumptions, the estimated number of cars in the country would be around 11.25 million. Please note that this is a simplified estimation and the actual number can vary depending on various factors such as the country’s infrastructure, public transportation availability, economic conditions, and cultural preferences.

Estimate the total market size for smartwatches in the next five years.

Estimating the total market size for smartwatches in the next five years involves considering current market trends, consumer behavior, technological advancements, and other relevant factors. Here’s a simplified approach to this estimation:

1. Understand the current market size: Research the current market size of smartwatches and the recent growth rate. Let’s assume the current market size is $10 billion.
2. Consider the projected market growth rate: Evaluate the expected growth rate based on factors such as technological advancements, increasing health awareness, and consumer demand. Let’s assume a conservative 15% compound annual growth rate (CAGR) for the next five years.

Using the compound annual growth rate formula:

Market size after 5 years = Current market size * (1 + growth rate) ^ number of years

Market size after 5 years = $10 billion * (1 + 0.15) ^ 5

Market size after 5 years = $10 billion * (1.15) ^ 5

Market size after 5 years = $10 billion * 2.01136

Market size after 5 years = $20.11 billion (approximately)

Based on these assumptions and calculations, the estimated total market size for smartwatches in the next five years would be approximately $20.11 billion. This estimation is a simplified calculation and the actual market size can be influenced by various factors such as technological breakthroughs, market competition, consumer preferences, and global economic conditions.

Estimate the annual revenue of a leading e-commerce platform in a specific country.

To estimate the annual revenue of a leading e-commerce platform in a specific country, you can follow these steps:

1. Estimate the number of active users on the platform: Research or assume the number of active users. Let’s assume there are 20 million active users.
2. Estimate the average annual spending per user: Consider the average amount spent by each user on the platform annually. Let’s assume it’s $500 per user.
3. Consider other revenue streams: If the platform earns revenue through advertising, subscription services, or other means, include those in the estimation. Let’s assume an additional $100 per user annually from these sources.

Now, let’s calculate the estimated annual revenue:

Total revenue from user base = Number of active users * (Average spending per user + Revenue from other sources per user) = 20,000,000 * ($500 + $100) = 20,000,000 * $600 = $12,000,000,000

So, based on these assumptions, the estimated annual revenue of the leading e-commerce platform in the specific country would be approximately $12 billion. Please note that this is a simplified estimation, and the actual revenue can be influenced by various factors such as market competition, seasonal variations, and changes in consumer behavior.

Estimate the number of daily Uber rides in a major city.

To estimate the number of daily Uber rides in a major city, we can follow these steps:

1. Estimate the population of the city: Let’s assume the population of the city is 5 million.
2. Assess the percentage of the population using ride-sharing services: Assume that 20% of the population regularly uses ride-sharing services like Uber.
3. Determine the average number of rides per user per day: Considering various factors such as work commutes, leisure travel, and other transportation needs, let’s assume each user takes an average of 1.5 rides per day.

Now, let’s calculate the estimated number of daily Uber rides:

Number of users = Population * Percentage of population using ride-sharing services = 5,000,000 * 0.20 = 1,000,000

Total rides per day = Number of users * Average rides per user per day = 1,000,000 * 1.5 = 1,500,000

Therefore, based on these assumptions, the estimated number of daily Uber rides in the major city would be around 1.5 million. Please note that this is a simplified estimation and the actual number can be affected by various factors such as special events, weather conditions, and the availability of public transportation alternatives.

Estimate the amount of data generated by a multinational technology company every day.

Estimating the amount of data generated by a multinational technology company can be complex and may involve various types of data such as user-generated content, operational data, and more. Here’s a simplified approach to make this estimation:

1. Estimate the number of active users on the platform: Let’s assume the company has 500 million active users.
2. Assess the average data generated per user per day: Consider various forms of data, including text, images, videos, and other types of content generated by each user. Let’s assume each user generates 100 megabytes (MB) of data per day.
3. Factor in operational data and other sources: Include data generated from operational activities, such as server logs, transactions, and other internal processes. Let’s assume this contributes an additional 10 terabytes (TB) of data per day.

Now, let’s calculate the estimated amount of data generated per day:

Data generated by users per day = Number of active users * Data generated per user per day = 500,000,000 * 100 MB = 50,000,000,000 MB

Operational data per day = 10 TB

Convert the user-generated data to terabytes: 50,000,000,000 MB = 50,000 TB

Total data generated per day = User-generated data per day + Operational data per day = 50,000 TB + 10 TB = 50,010 TB

Therefore, based on these assumptions, the estimated amount of data generated by the multinational technology company every day would be approximately 50,010 terabytes (TB). Please note that this is a simplified estimation and the actual data generated may vary depending on various factors such as user activity, platform usage patterns, and data-intensive services offered by the company.

Estimate the revenue generated by a popular video streaming service in a year.

To estimate the revenue generated by a popular video streaming service in a year, we can follow these steps:

1. Estimate the number of subscribers: Let’s assume the service has 100 million subscribers.
2. Assess the average subscription fee: Consider the average monthly subscription fee per user. Let’s assume it’s $10 per month.
3. Consider additional revenue streams: If the service generates revenue through advertisements or partnerships, include those in the estimation. Let’s assume an additional $2 per user annually from these sources.

Now, let’s calculate the estimated annual revenue:

Total revenue from subscriptions = Number of subscribers * (Average subscription fee per month * 12 months) = 100,000,000 * ($10 * 12) = 100,000,000 * $120 = $12,000,000,000

Total revenue from additional sources = Number of subscribers * Revenue per user from additional sources = 100,000,000 * $2 = $200,000,000

Total estimated annual revenue = Total revenue from subscriptions + Total revenue from additional sources = $12,000,000,000 + $200,000,000 = $12,200,000,000

Therefore, based on these assumptions, the estimated revenue generated by the popular video streaming service in a year would be approximately $12.2 billion. Please note that this is a simplified estimation and the actual revenue can be influenced by various factors such as changes in subscription prices, fluctuating user counts, and alterations in the revenue model of the streaming service

Estimate the number of daily active users on a popular mobile gaming application.

To estimate the number of daily active users (DAU) on a popular mobile gaming application, follow these steps:

1. Estimate the total number of downloads of the application: Let’s assume the application has been downloaded 100 million times.
2. Assess the average retention rate for mobile gaming applications: Considering the engagement and retention rates of similar apps, assume a 20% retention rate.
3. Consider the average daily usage frequency: Assess how often users typically engage with the app daily. Let’s assume users play the game 2 times a day on average.

Now, let’s calculate the estimated number of daily active users:

Number of retained users = Total downloads * Retention rate = 100,000,000 * 0.20 = 20,000,000

Total engagements per day = Number of retained users * Average daily usage frequency = 20,000,000 * 2 = 40,000,000

Therefore, based on these assumptions, the estimated number of daily active users on the popular mobile gaming application would be approximately 40 million. Please note that this is a simplified estimation and the actual number can vary based on various factors such as marketing strategies, app updates, user engagement campaigns, and the competitive landscape of the gaming industry.

Estimate the market share of a leading soft drink brand in your country.

To estimate the market share of a leading soft drink brand in a specific country, you can follow these steps:

1. Estimate the total annual consumption of soft drinks in the country: Let’s assume the total annual consumption of soft drinks in the country is 10 billion liters.
2. Gather information on the annual sales volume of the leading soft drink brand: If available, consider the annual sales volume data of the leading brand. Let’s assume the leading brand sells 2 billion liters annually.
3. Calculate the market share: Use the formula: (Annual sales volume of the leading brand / Total annual consumption of soft drinks) * 100.

Now, let’s calculate the estimated market share:

Market share = (2,000,000,000 / 10,000,000,000) * 100 = 20%

So, based on these assumptions, the estimated market share of the leading soft drink brand in the country would be approximately 20%. Please note that this is a simplified estimation and the actual market share can be influenced by various factors such as consumer preferences, marketing strategies, competitive pricing, and the presence of other beverage alternatives.

Our services

1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
   Link – The Data Monk Youtube Channel
   
2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
   Link – The Data Monk website
   
3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions
   Link – The Data E-shop Page
   
4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts)
   Link – The Data Monk Instagram page
   
5. Mock Interviews
   Book a slot on Top Mate
   
6. Career Guidance/Mentorship
   Book a slot on Top Mate
   
7. Resume-making and review
   Book a slot on Top Mate 

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

✅ Data Analyst and Product Analyst -> 1100+ Most Asked Interview Questions

✅ Business Analyst -> 1250+ Most Asked Interview Questions

✅ Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions

✅ Full Stack Analytics Professional – 2200 Most Asked Interview Questions

The Data Monk – 30 Days Mentorship program

We are a group of 30+ people with ~8 years of Analytics experience in product-based companies. We take interviews on a daily basis for our organization and we very well know what is asked in the interviews.
Other skill enhancer websites charge 2lakh+ GST for courses ranging from 10 to 15 months.

We only focus on making you a clear interview with ease. We have released our Become a Full Stack Analytics Professional for anyone in 2nd year of graduation to 8-10 YOE. This book contains 23 topics and each topic is divided into 50/100/200/250 questions and answers. Pick the book and read it thrice, learn it, and appear in the interview.

We also have a complete Analytics interview package
– 2200 questions ebook (Rs.1999) + 23 ebook bundle for Data Science and Analyst role (Rs.1999)
– 4 one-hour mock interviews, every Saturday (top mate – Rs.1000 per interview)
– 4 career guidance sessions, 30 mins each on every Sunday (top mate – Rs.500 per session)
– Resume review and improvement (Top mate – Rs.500 per review)

Total cost – Rs.10500
Discounted price – Rs. 9000

How to avail of this offer?
Send a mail to [email protected]