Interview Questions

Exponent - "This is a Design a Product question. For this, we'll want to follow the formula for success: Ask clarifying questions Identify user types, behaviors, and pain points State the goal and use cases List current solutions Improvements / net new solutions Evaluate and select solutions Measure Success Summarize Ask clarifying questions It's important to get clarity on anything unclear. Asking questions also helps us limit scope early on s"See full answer

Exponent - "This is another Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your"See full answer

P D. - "Elderly Users Preventive Health checkups Alerting families and relatives in Emergency situations Easily calling relatives / friends - AR experience Reliving the past experiences Guiding them in case of crossing the road Making shopping easier for them by understanding their mood and ordering for them helping in deciding the song playlist based on emotions Kids Exercising and noticing the effort spent Fun based learning Help in social interactions Help parents understand"See full answer

Exponent - "Before we begin, it's important to understand what the interviewer is testing with this type of question. This is a Strategy Question that tests an interviewee's ability to create compelling arguments from high level information, discern motive, and think strategically. We can split this question into two parts: Why did Yelp sell Eat24 and why did the stock jump? Why did Yelp sell Eat24? > To start, let's go over some potential reasons why Yelp might sell Eat24:Back to core competencies >"See full answer

Lucas G. - "I'd recommend to adjust p-values because of the increased chance of type I errors when conducting a large number of hypothesis. My recommended adjustment approach would be the Benjamini-Hochberg (BH) over the Bonferroni because BH strikes a balance between controlling for false positive and maintaining statistical power whereas Bonferroni is overly conservative while still controlling for false positives, it leads to a higher chance of missing true effects (high type II error)."See full answer

Roshan K. - "1. Understand Your Audience\: 2. App Quality and Relevance\: 3. Educational Content\: 4. User Reviews and Ratings\: 5. Integration Partnerships\: 6. Community Engagement\: 7. In-App Promotion\: 8. User Training and Workshops\: 9. Email Campaigns\: 10. Feedback Loop\: 11. Incentives and Rewards\: 12. Analytics and Iteration\: 13. Partnerships and Collaborations\: 14. Measurement and KPIs\:"See full answer