Analytical Interview Questions

Guru M. - "I have softened recruited people through LinkedIn. People from LinkedIn are more than happy to share their feedback on new products and features and to my surprise, I also saved a lot of company money on recruiting through services and offered Amazon vouchers to participants instead."See full answer

Dewi A. - "Firs I am going to look over if the usability dropped are occurred across platform (if the tools can be accessed from multiple platform), if the dropped are only happened in one platform, then we need to fix supporting technology of the tools. If the dropped are happening across platform then I am going to check tracking metrics of the tools. Following are metrics that I am going to consider: Tools Usability - See if the tools are functioning well to accommodate user action; If it turns out"See full answer

VictorSage - "The critical data to forecast projects with greater accuracy are Remaining Estimated work, Customer needed date, Cost of Delay."See full answer

Anonymous Muskox - "Metrics which Youtube Consider before building a recommender system Number of likes on a video by user The watch time of a video by the user The video disklied by the user The video share by a user The video skipped or churn with 20-30 seconds. Depending on this Youtube build a recommender system. The video suggestion feature in youtube works based on the recommender system. It may use a hybrid of batch prediction and online prediction. So depending on the above metrics, the youtube p"See full answer

Nithin G. - "So the question started of with strategy on how we should approach this followed with metrics to monitor"See full answer

Lee F. - "Is this s shuttle service or the standard uber service? Let's assume the latter. First Uber should gather some data. Find cities similar to Bangalore in several measures that Uber already services. Al bring in cities in India that already are services by Uber, if any. With this in hand, do a multifactoral analysis to try and understand the likely demand in Bangalore. That will help the company understand how many drivers it needs to launch with, so that user expectations for service are met. Hir"See full answer

Brad G. - "I would think about the following Inventory make up Localization for Quebec Device type distribution Price comparison algorithm is tuned correctly Dealer’s ability to merchandise their products The answer is thinking through all these potential issues with the car buyer funnel to identify why potential buyers in Canada are converting at a lower rate. "See full answer

Exponent - "This is an Improve a Product question. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewer are on the same page"See full answer

Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"See full answer

Spencer W. - "Just to clarify, I’m picturing that we have a install progress bar that we’re showing to the user, and for the initial stage of the install, we display one ad, then we show a different ad when the user is somewhere in the middle part of the installation, then show a third ad in the final step. Also, I assume that each slot must feature a different advertiser. First I’ll set the scene on how ad campaigns work in general then describe how we’d prioritize them and what to display to the user. A t"See full answer

Frank A. - "Evaluate product performance metrics against projections, rationalize performance, and identify opportunities to optimize performance"See full answer

Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer