Quantified Commerce Recruitment Process, Interview Questions & Answers

Quantified Commerce’s interview process typically includes a technical assessment followed by behavioral rounds. Candidates can expect problem-solving tasks related to e-commerce analytics and product management, emphasizing data-driven decision-making skills.
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About Quantified Commerce

Company Description

Quantified Commerce is a pioneering company in the e-commerce space, dedicated to leveraging data analytics and technology to drive retail success. Our mission is to revolutionize the way brands interact with consumers by providing actionable insights that optimize their marketing strategies and enhance customer experience. At Quantified Commerce, we foster a dynamic work culture characterized by innovation, collaboration, and a commitment to excellence. Our employees thrive in a supportive environment that values diversity and encourages continuous learning. We prioritize work-life balance and offer flexible working arrangements, ensuring our team members are empowered to perform at their best.

Data Analyst Interview Questions

Q1: Can you describe your experience with data visualization tools?

I have extensive experience using tools like Tableau and Power BI to create interactive dashboards that help stakeholders make informed decisions. I have created visualizations that simplify complex datasets into easily digestible formats, allowing for quick insights.

Q2: How do you approach data cleaning and preparation?

I begin by assessing the dataset for inconsistencies or missing values. I use tools like Python and SQL to clean the data, ensuring that it is in a usable format for analysis. This might involve removing duplicates, handling missing data, and standardizing formats.

Q3: Explain a time when your analysis directly influenced a business decision.

In my previous role, I analyzed customer purchase patterns which identified a significant drop in sales for a particular product category. I presented my findings to the marketing team, leading to a targeted promotional campaign that ultimately increased sales by 30%.

Q4: What statistical methods do you commonly use in your analyses?

I frequently use regression analysis, hypothesis testing, and A/B testing to derive insights from data. These methods help me understand relationships between variables and validate the effectiveness of different strategies.

Q5: How do you ensure the accuracy of your data analysis?

I implement a rigorous validation process that includes cross-checking my findings with multiple data sources and using statistical methods to verify results. Peer reviews also play a crucial role in maintaining the quality and accuracy of my work.

Marketing Specialist Interview Questions

Q1: What strategies have you used to develop successful marketing campaigns?

I focus on data-driven marketing strategies, utilizing customer insights and market analysis to tailor campaigns. For example, I have successfully implemented targeted social media ads based on customer demographics, leading to increased engagement and conversion rates.

Q2: How do you measure the success of a marketing campaign?

I measure success using key performance indicators (KPIs) such as click-through rates, conversion rates, and return on investment (ROI). I also analyze customer feedback and engagement metrics to gauge the overall impact of the campaign.

Q3: Can you provide an example of a challenging marketing project you worked on?

I once led a campaign for a product launch that faced stiff competition. By conducting a thorough competitor analysis and leveraging unique selling propositions, we differentiated our product and achieved a 20% market share within the first quarter.

Q4: What digital marketing tools are you proficient in?

I am proficient in various digital marketing tools, including Google Analytics for tracking website performance, Mailchimp for email campaigns, and Hootsuite for managing social media content across platforms.

Q5: How do you stay updated with the latest marketing trends?

I regularly attend industry webinars, read marketing blogs, and participate in professional groups. Networking with other professionals also allows me to share insights and learn about emerging trends in the marketing landscape.

E-commerce Manager Interview Questions

Q1: What experience do you have in managing e-commerce platforms?

I have over five years of experience managing various e-commerce platforms, including Shopify and Magento. I have overseen product listings, inventory management, and customer service operations to ensure a seamless shopping experience.

Q2: How do you handle inventory management in an e-commerce environment?

I utilize inventory management software to keep track of stock levels, forecast demand, and automate reordering processes. Regular audits and data analysis help me minimize stockouts and overstock situations.

Q3: Describe a time when you improved the customer experience on an e-commerce site.

I implemented a user-friendly navigation structure and enhanced the search functionality on our e-commerce site, which resulted in a 15% increase in conversion rates. I also introduced customer reviews and ratings, which improved trust and engagement.

Q4: What strategies do you employ for optimizing conversion rates?

I analyze customer behavior through A/B testing and use data to refine product pages, streamline the checkout process, and personalize marketing efforts. Additionally, I focus on mobile optimization, as a significant portion of traffic comes from mobile devices.

Q5: How do you approach customer retention in e-commerce?

I focus on building long-term relationships through personalized communications, loyalty programs, and exceptional customer service. Regular engagement through newsletters and targeted promotions helps keep customers returning.

Software Developer Interview Questions

Q1: What programming languages are you most proficient in?

I am proficient in several programming languages, including JavaScript, Python, and Ruby. I have used these languages to develop web applications and back-end services, ensuring high performance and scalability.

Q2: Can you describe your experience with agile development methodologies?

I have worked in agile teams where we employed Scrum and Kanban methodologies. I actively participated in daily stand-ups, sprint planning, and retrospectives, which helped improve collaboration and project delivery times.

Q3: How do you approach debugging and troubleshooting code issues?

I start by replicating the issue to understand its context. Then I use debugging tools and logs to identify the root cause. I also review code with peers to gain different perspectives that might help in resolving the problem efficiently.

Q4: Describe a project where you had to learn a new technology quickly.

I was once tasked with building an application using React within a short timeframe. I dedicated time to online courses and documentation, allowing me to deliver a functional product that met the project requirements ahead of schedule.

Q5: How do you ensure the security of your code?

I adhere to coding best practices, conduct regular code reviews, and stay updated on the latest security vulnerabilities. I implement measures such as input validation, encryption, and secure authentication to protect against potential threats.

Customer Service Representative Interview Questions

Q1: How do you handle difficult customers?

I remain calm and empathetic, actively listening to their concerns. I strive to understand their perspective and work collaboratively to find a solution. Maintaining a positive attitude helps defuse tension and fosters trust.

Q2: What tools do you use to manage customer inquiries?

I have experience using customer relationship management (CRM) systems like Zendesk and Salesforce to track inquiries and manage support tickets efficiently. These tools help me ensure timely responses and follow-ups.

Q3: Can you give an example of a time you went above and beyond for a customer?

A customer experienced a shipping delay, so I proactively contacted the shipping company and kept the customer updated throughout the process. Ultimately, I offered a discount on their next purchase, which resulted in positive feedback and increased loyalty.

Q4: How do you prioritize your tasks in a fast-paced environment?

I prioritize tasks based on urgency and impact on customer satisfaction. I use to-do lists and task management tools to keep track of my workload and ensure that critical issues are addressed promptly.

Q5: What do you think is the most important quality for a customer service representative?

Empathy is the most important quality, as it allows representatives to understand and connect with customers. Providing a supportive and understanding experience can turn a negative situation into a positive one, fostering long-term loyalty.

Quantified Commerce Interview Guide

Company Background and Industry Position

Quantified Commerce is carving a distinctive niche in the fast-evolving landscape of retail technology, especially in the realm of online commerce optimization. Founded with the mission to streamline the online buying journey, the company specializes in bridging the gap between e-commerce platforms and brick-and-mortar retail and fulfillment strategies. This blend of commerce and technology places it squarely within the vibrant intersection of SaaS, retail tech, and data-driven marketing solutions.

Over the past few years, Quantified Commerce has attracted the attention of major retail brands and online marketplaces alike, thanks to their innovative approach to inventory visibility and seamless checkout experiences. Their product offerings are not just about technology for technology’s sake but focus heavily on improving real-world business outcomes like reduced cart abandonment rates and enhanced delivery accuracy. This attention to practical impact has strengthened their foothold in the market, even as competition from analytics and e-commerce startups grows fierce.

Understanding this context is key for candidates preparing for interviews here. The company values individuals who don’t just know their tech stack but also appreciate how those tools serve broader business strategies. Expect discussions that marry software engineering with retail dynamics, analytics with shopper psychology.

How the Hiring Process Works

  1. Initial Application Screening – Before any conversation starts, Quantified Commerce carefully filters resumes and LinkedIn profiles to match role-specific criteria. This step ensures candidates align with their technical and experiential needs.
  2. Recruiter Phone Screen – Usually a 30-minute chat focusing on background, motivation, and logistical fit (availability, salary expectations). It’s less technical and more about culture match and communication skills.
  3. Technical Assessment – For engineering roles, this often involves coding challenges or take-home assignments designed to assess problem-solving ability and code quality. Product roles might get case studies related to retail tech problems.
  4. Technical Interview Rounds – These can be multiple sessions involving live coding, system design discussions, or domain-specific problem-solving, depending on the job. Collaboration and architectural thinking matter here.
  5. HR and Behavioral Interviews – A critical stage where soft skills, cultural fit, and alignment with company values are evaluated. Candidates often face scenario questions to demonstrate adaptability and team interaction.
  6. Final Round and Offer – Typically involves senior leadership or cross-functional stakeholders. This round often doubles as a mutual fit conversation and a chance to talk through compensation, growth paths, and expectations.

Throughout, the process is designed to not only assess technical capabilities but also an applicant’s ability to thrive in a fast-moving environment where retail and technology converge. It's less about ticking boxes and more about proving you can deliver value in specific contexts.

Interview Stages Explained

Initial Recruiter Screening

This is a conversational stage and often underestimated. The recruiter is your first impression-maker and gatekeeper. They are looking for clarity in communication, enthusiasm, and evidence that you’ve done your homework on Quantified Commerce. Expect questions about your previous roles, why you applied, and your understanding of their product space. It’s also the time to ask your own questions about team dynamics and hiring timelines.

Technical Assessment

Whether it’s a timed coding test or a take-home project, this step evaluates your raw problem-solving skills and coding style. For engineering candidates, it typically tests data structures, algorithms, and sometimes domain-specific knowledge like APIs or system integration. Product and marketing candidates might encounter problems simulating real-world retail challenges that the company solves. The key here is to demonstrate not just correctness but pragmatism—you don’t need to reinvent the wheel but show that you understand trade-offs.

Technical Interviews

These interviews drill deeper. For software roles, candidates can expect live coding sessions where interviewers observe how you think aloud, break down problems, and optimize solutions. System design interviews are common, focusing on how you architect scalable and maintainable systems that address retail commerce issues—think inventory synchronization or checkout latency minimization. These rounds are also a chance to explore your familiarity with relevant technologies like cloud infrastructure, APIs, or data analytics.

HR and Behavioral Interview

The human factor is front and center here. Interviewers probe how you handle conflict, work in teams, and respond to failure or pressure. Given Quantified Commerce’s startup-adjacent culture, adaptability and entrepreneurial spirit often come under scrutiny. Candidates should be ready with stories illustrating leadership, collaboration, and learning from setbacks. It’s also important to show alignment with the company's mission—candidates who articulate how they personally relate to revolutionizing retail tend to resonate better.

Final Round and Offer Discussion

This stage is often a blend of formal and informal conversation. Senior leaders may explore your long-term career aspirations, how you envision contributing to the company’s growth, and your thoughts on industry trends. Compensation discussions happen here, and transparency on salary expectations helps avoid surprises. This round is as much about candidate confidence and clarity as it is about fit.

Examples of Questions Candidates Report

  • Technical: "Design a system to provide real-time inventory updates for thousands of retail locations."
  • Coding: "Implement an algorithm to merge multiple sorted streams efficiently."
  • Behavioral: "Describe a time you had to pivot on a project due to unexpected challenges."
  • Product/Case Study: "How would you improve the checkout process for an online retailer to reduce cart abandonment?"
  • HR: "What attracts you to retail technology, and how do you keep your skills up-to-date?"

Eligibility Expectations

Quantified Commerce tends to look for candidates with a combination of technical depth and industry understanding. For engineering roles, a bachelor’s degree in computer science or a related field is often the baseline, although equivalent practical experience can sometimes substitute. Candidates with prior exposure to SaaS products, API development, or retail platforms find themselves at an advantage. For product management or marketing roles, familiarity with retail ecosystems or e-commerce platforms like Shopify, Magento, or Salesforce Commerce Cloud helps.

Soft skills are non-negotiable. The company values problem solvers who are self-starters and can adapt when priorities shift—common in tech-driven retail environments. Leadership potential, even in individual contributor roles, is often assessed. Fluency in English and clear communication are essential due to the collaborative, cross-disciplinary nature of the teams.

Common Job Roles and Departments

Quantified Commerce’s hiring spans multiple functions, reflecting its hybrid tech-retail character:

  • Software Engineering: Backend, frontend, full-stack developers focused on scalable SaaS solutions.
  • Product Management: Steering roadmap, customer feedback, and feature prioritization, often requiring retail domain expertise.
  • Data Science & Analytics: Building models to predict shopper behavior and optimize inventory flows.
  • Sales & Customer Success: Engaging retail clients, understanding business needs, and ensuring smooth deployments.
  • Marketing & Growth: Driving brand awareness and user acquisition in a competitive retail tech market.

Compensation and Salary Perspective

RoleEstimated Salary
Software Engineer (Mid-level)$90,000 – $130,000
Senior Software Engineer$130,000 – $170,000
Product Manager$110,000 – $150,000
Data Scientist$100,000 – $140,000
Sales & Customer Success Manager$70,000 – $110,000 + commission
Marketing Specialist$60,000 – $90,000

The salary ranges reflect a competitive stance compared to other retail tech startups and mid-sized SaaS firms. While the top-tier roles might lag behind tech giants, they compensate through equity packages and a dynamic work environment. Candidates should also consider benefits like remote work flexibility and learning allowances, which often enhance the total compensation picture.

Interview Difficulty Analysis

From what candidates relay, the interview process at Quantified Commerce lies somewhere between challenging and stimulating. It’s not a Silicon Valley marathon of grueling puzzles, but it’s far from a casual chat either. The company demands thoughtful problem-solving, especially in technical rounds, paired with concrete business understanding.

Some candidates mention the technical interviews test depth rather than breadth, calling for mastery in system design and real-world coding rather than esoteric algorithm puzzles. Product and marketing interviews tend to be case-focused, requiring candidates to think on their feet about retail dynamics. The behavioral interviews probe for resilience and cultural fit, which can trip up the unprepared.

Overall, candidates who prepare methodically—by combining technical study with industry research—typically find the difficulty balanced and fair.

Preparation Strategy That Works

  • Research Quantified Commerce’s product offerings and understand how they fit within the broader retail tech ecosystem.
  • Practice system design questions with a focus on real-time data processing and e-commerce scenarios.
  • Sharpen coding skills in relevant languages and frameworks, emphasizing clean, maintainable code.
  • Review behavioral interview techniques, preparing stories about teamwork, problem-solving, and adaptability.
  • For product roles, study case studies on checkout optimization, inventory management, and user experience in retail.
  • Engage with online forums or communities where past interviewees share experiences and tips.
  • Prepare thoughtful questions that demonstrate curiosity about company culture, growth plans, and technical challenges.

Work Environment and Culture Insights

Quantified Commerce maintains a culture that prizes innovation but is deeply pragmatic. From talking to employees and candidates, the atmosphere is described as collaborative, with low hierarchy and high accountability. Because the company operates at the crossroads of technology and retail, teams often juggle rapid feature development alongside client-driven customization.

There’s notable emphasis on continuous learning—many engineers report regular knowledge-sharing sessions and openness to new ideas. The environment encourages taking ownership, which means candidates should be ready to wear multiple hats and adapt quickly. On the flip side, some mention the pressure that comes from tight deadlines and the necessity to balance technical elegance with shipping practical solutions fast.

Career Growth and Learning Opportunities

Quantified Commerce invests in employee development, recognizing that staying ahead in retail tech requires constant upskilling. Career ladder clarity exists, but progression often depends heavily on demonstrated impact rather than just tenure. Employees appreciate the opportunity to work on cutting-edge tech problems that have tangible business outcomes, which is a strong motivator.

Learning paths often include mentorship programs, external training budgets, and chances to attend industry conferences. The company’s size allows for visibility and direct collaboration with leadership, which many find rewarding for career acceleration. For those passionate about the intersection of commerce and technology, it’s a fertile ground to build a specialized skillset.

Real Candidate Experience Patterns

Browsing forums and review sites reveals some common threads in candidate stories. Often, applicants note upfront that the hiring process is transparent, with timely updates and clear expectations. However, some express surprise at the depth of domain knowledge expected, particularly in understanding retail workflows and logistics.

Technical rounds are repeatedly mentioned as the turning point—candidates who can articulate their reasoning and adapt to hints from interviewers tend to progress. Behavioral interviews, while standard, can feel intense, especially when pressed on past failures or challenging interpersonal situations.

Many note that interviewers encourage questions and value genuine curiosity, which can tip the scales positively. On the downside, a few mention that coordination between interview rounds sometimes felt slow, but the overall candidate experience is rated satisfactory.

Comparison With Other Employers

When stacked against other retail tech companies or SaaS startups, Quantified Commerce offers a unique blend. The technical interview difficulty is generally more focused than tech giants like Amazon, which hammer on breadth and system-wide scale, but tougher than smaller startups that might prioritize rapid hiring over deep vetting.

Compensation is competitive but not market-leading, balanced by strong cultural perks and the chance to impact a growing company. The recruitment rounds are fewer than some enterprises, making the process efficient. Compared with companies focused purely on data science or marketing technology, Quantified Commerce demands a stronger mix of domain expertise and technical acumen.

CompanyInterview ChallengeSalary RangeCulture
Quantified CommerceModerate to HighCompetitive Mid-MarketCollaborative, Fast-Paced
Big Retail Tech GiantVery HighTop-TierStructured, Large Scale
Early-Stage Retail StartupLow to ModerateLower Base + EquityFlexible, Risky
Pure SaaS Marketing FirmModerateModerateInnovative, Niche

Expert Advice for Applicants

Focus your preparation on understanding how technology serves retail outcomes. Quantified Commerce is not just a tech shop—it’s a business problem solver. When you answer interview questions, always circle back to "why does this matter for the customer or the business?"

Don’t just memorize algorithm patterns; apply them thoughtfully. During behavioral interviews, share concrete stories that reveal your problem-solving mindset and resilience. And please, don’t underestimate the value of asking insightful questions—this shows you’re thinking beyond the role and about the bigger picture.

Lastly, manage expectations: this is a company that moves quickly and values impact. Demonstrate your ability to contribute from day one, and you’ll stand out.

Frequently Asked Questions

What kind of technical interview questions does Quantified Commerce ask?

They typically revolve around coding challenges, system design with a focus on real-time data processing, and domain-specific scenarios related to e-commerce and retail logistics. The idea is to assess both your problem-solving skills and your understanding of retail technology.

How many recruitment rounds should I expect?

The process usually includes an initial recruiter screen, a technical assessment, one or two technical interviews, a behavioral interview, and a final round with leadership. Overall, around five to six stages.

What is the typical salary range for software engineers?

Mid-level engineers can expect approximately $90,000 to $130,000 annually, with senior engineers earning up to $170,000 depending on experience and location.

Does Quantified Commerce value industry experience in retail?

Yes, familiarity with retail ecosystems or e-commerce platforms can be a significant advantage, especially for product and marketing roles. For technical roles, domain knowledge complements technical skills well.

What are the key qualities the company looks for beyond technical skills?

Adaptability, a collaborative mindset, communication skills, and a passion for solving real-world retail challenges are crucial. The company seeks candidates who thrive in a fast-paced, dynamic environment.

Final Perspective

Interviewing at Quantified Commerce is a unique journey that combines the rigor of tech evaluation with a practical lens on retail business problems. It’s a process that values depth, clarity, and genuine engagement. Candidates coming into this should appreciate that success hinges not just on technical prowess but on the ability to connect technology solutions to meaningful commerce outcomes.

For those with a passion for retail innovation and an appetite to learn and adapt quickly, Quantified Commerce offers a compelling career opportunity. Prepare smartly, expect a thoughtful hiring experience, and be ready to demonstrate how your skills translate into real business impact. The company—and the retail industry at large—needs problem solvers who can keep pace with the evolving demands of digital commerce.

Quantified Commerce Interview Questions and Answers

Updated 21 Feb 2026

Customer Success Manager Interview Experience

Candidate: Emily R.

Experience Level: Mid-level

Applied Via: LinkedIn application

Difficulty:

Final Result: Rejected

Interview Process

3 rounds

Questions Asked

  • How do you handle difficult customers?
  • Describe a time you improved customer retention.
  • What CRM tools have you used?
  • Behavioral: teamwork and conflict resolution.
  • How do you prioritize tasks in a busy environment?

Advice

Prepare examples that showcase your problem-solving and customer management skills.

Full Experience

The interview included a phone screen, a practical scenario discussion, and a final panel interview. The team was professional but expected detailed examples of past successes in customer success roles.

Sales Executive Interview Experience

Candidate: David S.

Experience Level: Entry-level

Applied Via: Recruiter outreach

Difficulty: Easy

Final Result:

Interview Process

2 rounds

Questions Asked

  • Why do you want to work in sales?
  • Describe a time you met a sales target.
  • How do you handle rejection?
  • What do you know about our products?
  • Behavioral: teamwork experience.

Advice

Be enthusiastic and show a willingness to learn; know the company’s products well.

Full Experience

The interviews were straightforward and focused on my motivation and communication skills. The recruiter was very supportive and provided clear guidance throughout the process.

Product Manager Interview Experience

Candidate: Catherine L.

Experience Level: Mid-level

Applied Via: Company website

Difficulty:

Final Result:

Interview Process

3 rounds

Questions Asked

  • How do you prioritize product features?
  • Describe a time you handled conflicting stakeholder demands.
  • Explain a product lifecycle you managed.
  • Behavioral: dealing with failure.
  • How do you measure product success?

Advice

Demonstrate strong communication skills and product sense; use real examples from your experience.

Full Experience

The interview process was well-structured with a phone screen, a case study presentation, and a final onsite panel. The interviewers were interested in my approach to problem-solving and stakeholder management.

Data Scientist Interview Experience

Candidate: Brian T.

Experience Level: Senior

Applied Via: Referral

Difficulty: Hard

Final Result: Rejected

Interview Process

4 rounds

Questions Asked

  • Explain a machine learning project you led.
  • How do you handle missing data?
  • Write SQL queries to extract insights.
  • Statistical hypothesis testing questions.
  • Case study on customer segmentation.

Advice

Prepare for case studies and practical SQL exercises; also be ready to discuss your leadership experience.

Full Experience

The interview was intense with multiple technical rounds including a case study presentation. The team valued practical experience and clear communication. Despite a strong technical background, I lacked some domain-specific knowledge they sought.

Software Engineer Interview Experience

Candidate: Alice M.

Experience Level: Mid-level

Applied Via: Online job portal

Difficulty:

Final Result:

Interview Process

3 rounds

Questions Asked

  • Explain RESTful APIs.
  • Describe a challenging bug you fixed.
  • Write a function to reverse a linked list.
  • How do you ensure code quality?
  • Behavioral: teamwork experience.

Advice

Brush up on data structures and be ready to discuss past projects in detail.

Full Experience

The process started with an online coding test, followed by a technical phone interview focusing on algorithms and system design. The final round was onsite with the team, including behavioral questions and a coding challenge. The interviewers were friendly and provided good feedback.

View all interview questions

Frequently Asked Questions in Quantified Commerce

Have a question about the hiring process, company policies, or work environment? Ask the community or browse existing questions here.

Common Interview Questions in Quantified Commerce

Q: In a sports contest there were m medals awarded on n successive days (n > 1). 1. On the first day 1 medal and 1/7 of the remaining m - 1 medals were awarded. 2. On the second day 2 medals and 1/7 of the now remaining medals was awarded; and so on.On the nth and last day, the remaining n medals were awarded.How many days did the contest last, and how many medals were awarded altogether?

Q: A hare and a tortoise have a race along a circle of 100 yards diameter. The tortoise goes in one directionand the hare in the other. The hare starts after the tortoise has covered 1/5 of its distance and that too leisurely.The hare and tortoise meet when the hare has covered only 1/8 of the distance. By what factor should the hareincrease its speed so as to tie the race?

Q: Suppose a newly-born pair of rabbits, one male, one female, are put in a field. Rabbits are able to mate at the age of one month so that at the end of its second month a female can produce another pair of rabbits. Suppose that our rabbits never die and that the female always produces one new pair (one male, one female) every month from the second month on.

Q: Consider a pile of Diamonds on a table. A thief enters and steals 1/2 of the total quantity and then again 2 extra from the remaining. After some time a second thief enters and steals 1/2 of the remaining+2. Then 3rd thief enters and steals 1/2 of the remaining+2. Then 4th thief enters and steals 1/2 of the remaining+2. When the 5th one enters he finds 1 diamond on the table. Find out the total no. of diamonds originally on the table before the 1st thief entered.

Q: There are two balls touching each other circumferencically. The radius of the big ball is 4 times the diameter of the small all. The outer small ball rotates in anticlockwise direction circumferencically over the bigger one at the rate of 16 rev/sec. The bigger wheel also rotates anticlockwise at N rev/sec. What is 'N' for the horizontal line from the centre of small wheel always is horizontal.

Q: There are 3 clans in an island - The Arcs who never lie, the Dons who always lie and the Slons who lie alternately with the truth. Once a tourist meets 2 guides who stress that the other is a Slon. They proceed on a tour and see a sports meet. The first guide says that the prizes have been won in the order Don, Arc, Slon. The other says that, the order is Slon, Don, Arc. (the order need not be exact). To which clan did each of the guides and the players belong? ...

Q: 3 policemen and 3 thieves had to cross a river using a small boat. Only two can use the boat for a trip. All the 3 policemen and only 1 thief knew to ride the boat. If 2 thieves and 1 policeman were left behind they would kill him. But none of them escaped from the policemen. How would they be able to cross the river?

Q: T, U, V are 3 friends digging groups in fields. If T & U can complete i groove in 4 days &, U & V can complete 1 groove in 3 days & V & T can complete in 2 days. Find how many days each takes to complete 1 groove individually.

Q: The citizens of planet nigiet are 8 fingered and have thus developed their decimal system in base 8. A certain street in nigiet contains 1000 (in base 8) buildings numbered 1 to 1000. How many 3s are used in numbering these buildings?

Q: There are 3 sticks placed at right angles to each other and a sphere is placed between the sticks . Now another sphere is placed in the gap between the sticks and Larger sphere . Find the radius of smaller sphere in terms of radius of larger sphere.

Q: There is a room with a door (closed) and three light bulbs. Outside the room there are three switches, connected to the bulbs. You may manipulate the switches as you wish, but once you open the door you can't change them. Identify each switch with its bulb.

Q: The egg vendor calls on his first customer and sells half his eggs and half an egg. To the second customer, he sells half of what he had left and half an egg and to the third customer he sells half of what he had then left and half an egg. By the way he did not break any eggs. In the end three eggs were remaining . How many total eggs he was having ?

Q: A long, long time ago, two Egyptian camel drivers were fighting for the hand of the daughter of the sheik of Abbudzjabbu. The sheik, who liked neither of these men to become the future husband of his daughter, came up with a clever plan: a race would dete

Q: Give two dice - one is a standard dice, the other is blank (nothing painted on any of the faces). The problem is to paint the blank dice in such a manner so that when you roll both of them together, the sum of both the faces should lie between 1 and 12. Numbers from 1-12 (both inclusive) equally likely.

Q: There are four dogs/ants/people at four corners of a square of unit distance. At the same instant all of them start running with unit speed towards the person on their clockwise direction and will always run towards that target. How long does it take for them to meet and where?

Q: Jack and his wife went to a party where four other married couples were present. Every person shook hands with everyone he or she was not acquainted with. When the handshaking was over, Jack asked everyone, including his own wife, how many hands they shook?

Q: In a country where everyone wants a boy, each family continues having babies till they have a boy. After some time, what is the proportion of boys to girls in the country? (Assuming probability of having a boy or a girl is the same)

Q: An escalator is descending at constant speed. A walks down and takes 50 steps to reach the bottom. B runs down and takes 90 steps in the same time as A takes 10 steps. How many steps are visible when the escalator is not operating. 

Q: A family X went for a vacation. Unfortunately it rained for 13 days when they were there. But whenever it rained in the mornings, they had clear afternoons and vice versa. In all they enjoyed 11 mornings and 12 afternoons. How many days did they stay there totally?

Q: There are some chickens in a poultry. They are fed with corn. One sack of corn will come for 9 days. The farmer decides to sell some chickens and wanted to hold 12 chicken with him. He cuts the feed by 10% and sack of corn comes for 30...

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