What is survival analysis, and why can't you just use regression for time-to-event?
Time-to-event problems (churn, failure, conversion timing) conceal a twist that quietly biases ordinary regression. What shows depth is naming that twist and choosing the right framing. Here is the answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Time-to-event problems (churn, failure, conversion timing) conceal a twist that quietly biases ordinary regression. What shows depth is naming that twist and choosing the right framing. Here is the answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
