1. STA: Stern
Full-Time Interview Prep
September 21, 2018

2. AGENDA Fall 2018 On-Campus Recruiting Tech Interviewing Overview
Consulting vs. Tech Casing
Sample Questions
Resources

3. FALL 2018 ON-CAMPUS RECRUITING
MICROSOFT
IBM
ACCENTURE
AMAZON
WIPRO TECHNOLOGIES
SALESFORCE
WAYFAIR
MASTERCARD
ADOBE
T-MOBILE

4. TECH INTERVIEWING OVERVIEW
Behavioral questions (“Tell me about a time when you…”)
Research company values (i.e. Amazon leadership principles)
Emphasis on working with cross-functional teams (motivation and influence)
Casing is tech industry specific, and very often the case is related to the company you’re interviewing for.
Using CTRL+F on MCA casebooks to find industry specific cases is helpful
Tech casing is primarily used to test your knowledge of working through ambiguous problems in the industry--best way to prepare is to know what is going on in the industry:
Risks / Opportunities: company & industry
Acquisitions
Trends

5. COMMON THEMES User Focus
Designing solutions to meet user needs (stated or inferred)
Data
Emphasis on how to identify, collect, and use data to make decisions
Specific metrics and how to leverage
Practical considerations
How to actually execute on potential solutions (order of operations, testing, etc.)
No single right answer
Brainstorming broad list of potential solutions and narrowing down based on case-specific considerations
Technical “expertise”
Be comfortable discussing relevant technology (ad tech, cloud computing, etc.)

6. CONSULTING VS. TECH CASING
Case Component
Tech
Problem statement designed to be followed by your clarifying questions.
Prompt & Response
Straightforward problem statement or question. Usually not as tricky or complicated.
“Do you mind if I have a second to get my thoughts?”, followed by buckets and bullet points and structured framework
Post-Prompt Framework
Flexibility in how you structure your response. Creativity allowed. Usually just about bucket titles, rather than bullet points
Hand-drawn spreadsheet expected to be correct
Back of the Envelope Math (sometimes make assumptions)
Maybe a few quick revenue or price calculations if any
Brainstormed list or structure of solutions; showcase for creativity
Solution Brainstorming & Problem Solving
(overlap!)
Also a brainstormed list or structure of solutions; showcase for creativity
Structured recommendation, risks, next steps
Structured Recommendation
Usually plan of action based on brainstorm if any

7. SAMPLE CASES
DATA:
The number of users who upload videos to Vimeo has plateaued (1-2% growth year-over-year), how would you diagnose the root cause and what data would you need?
How would you increase Google Drive use by 20%?
PRODUCT:
How would you design a refrigerator for blind people?
Tell me about an App you use? What do you like / dislike? How would you improve? How would you prioritize? How would measure that improvement?
MARKET SIZING:
How many people graduate from college in the United States each year?
How many smartphone cases are sold in Verizon stores each year?
TECHNICAL:
What would you consider in evaluating whether or not to migrate an application from an on-premise datacenter to the public cloud?

8. RESOURCES Lewis Lin Product Management/Marketing Workshop
October 13th, 2018
Recommended reading
Stern Bootcamps (Academic Affairs)
UX Foundations - September 28
Excel I & II - September 29 & October 6
Advanced Hands-On Practice in UX - October 21
Excel Bootcamps- October 27 & November 3
Programming and Data Analytics - November 4
STA Recruiting Book
STA Question Bank