Analytical Interview Questions

Sayee M. - "i asked if she meant operations business analytics metrics.. she clarified that she meant operational/stability metrics.. i explained that i used dynatrace to monitor the product and she said i want to know about SLAs etc. she was looking for the words SLA SLO and SLI.. i then explained SLA 99.99% various SLO's contributed to it like system uptime, continous testing of business functions, and incident mgmt metrics."See full answer

Geo J. - "check y the -ve effect - ask them to solve that."See full answer

Exponent - "This is a Measure Success question with a slight twist. The twist here is we need to consider a hypothetical change rather than one already built. This changes our formula slightly - specifically we may not be able to apply a UX flow to drive analysis since we're unsure of the implementation. Instead, we'll look at core behaviors that are indicative of success. Here's the modified formula: Ask clarifying questions State the goal of the feature **Apply a UX flow to drive an"See full answer

Bhagya D. - "Situation: Narrated about a time when the decision favored the most important customer, but appeared to be at the cost of diluting my own company's brand value. Context: Provided additional context around why the ask from the customer is very critical for the customer. And why my leadership wasn't ready to jump on the gun as it was cannibalistic to our brand value. Response: I used data to explain why it is not going to be a big blow to our brand value. Used a counter metric to show that we h"See full answer

Shuvam C. - "Introduce special tickets which will cover a bundle of rides. This will distribute the load over the remaining rides and reduce the queue for the particular ride as all the people will no longer try to avail the same ride simultaneously."See full answer

Varun J. - "Feel free to download the full assignment (with screens) here: https://www.varunja.in/blog/assignment, cheers! Expected Outcome: Users: What do you know about the users of WhatsApp? What do they want? Features: What features will you build? Prioritization: What will be in your MVP and what will be in your 2.0 version? After you have decided on the MVP: Engineering: How hard is this to build? How long might it take? Are there ways to build a solution more quicker? Design: How does your new fea"See full answer

Jonah J. - "When faced with a pressing customer request I will prioritize it over planned projects if is possible."See full answer

Rajesh P. - "I talked about how I request filtered using data and friendly escalated to keep the program on track. Also, delved deep into the tech stack to identify the areas where we need extra coverage and negotiated resources to handle those areas."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

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

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