Analyzing hypothetical survey costs using Streamlit for Teams

Imagine you are a data scientist for Big Internet Company (BIC). BIC sells budgeting software to users, and you are responsible for surveying the users of your app to see where the app could be improved. You work with a fairly typical team made up of a product manager, two software engineers, three project managers, two user experience researchers, and yourself, the lone data scientist. One day, your product manager messages you on Slack and asks you to figure out the right sample of users between the ages of 16 and 24, a crucial segment of the business, to take a 10-question survey about the software. In a brainstorming session, your researchers have found some evidence that giving people a 10% chance at winning a $500 gift card is more effective than giving people $50 for the response rates in your survey, and want you to incorporate that into your analysis. 

There are many factors that you need to consider here...