Manager: I want a model that predicts X.
Data Scientist: What accuracy is sufficient?
Manager: It has to capture whatever signal there is in the data.
Data Scientist: Let me see… How will the model be used?
Manager: We will decide later. Let’s have a good, working model first.
Data Scientist: What is the cost if it makes a mistake? Do we lose more money on false negatives or on false positives?
Manager: I don’t know those numbers. Why do you need them?
Data Scientist: So I can understand the business context.
Manager: This is not your job.
Data Scientist: Fine. Given your understanding of the business, would linear regression be sufficient?Manager: How would I know? This is not my job.