6. Let's say you see data that looks at email sends by user state for a specific email: Dormant (not in last 30 days) 5% Core (DAU) 45% Casual (WAU) 30% Marginal (MAU) 15% Resurrected (wasn't in last 30 days, then came back as WAU) 5% The objective of email is to get people back to the site. What does this data tell you from a growth perspective? Are we under-sending to any user states?
1. Given a choice of 10 potential experiments, how do you determine which ones to do?
We have concern that you are a program manager.
What journal entries are associated with the creation of a product?
write ANT built xml?
IQ questions, technical questions related to the profile and then some questions to know if I would fit in to the team which were focused on how I would handle various situations if I were to face them in the team.
UML and use cases - case study
How I resolved issues. My ability to work with others both in teams and independently. Situational scenarios regarding ethics, etc.
What kind of questions would you ask an issuer if you learned that a top taxpayer located in the state relocated out of the city?
Describe your Journey as a Business Analyst
Viewing 111 - 120 interview questions