Your question is Extract Actionable Insights from Text. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are working with a stream of unstructured text such as support tickets, analyst notes, and customer feedback. The goal is to turn these messages into structured fields that downstream teams can search, aggregate, and act on. The text is messy, with abbreviations, domain-specific terms, and mixed sentence quality.
How would you apply NLP to parse unstructured text and extract actionable insights?