Find the Most Damaging Failure in a Turo, Ticketmaster or Hotel Trip and Scope an MVP

Pick one of three businesses: Ticketmaster, Turo, or a large hotel chain. Describe the worst experience a customer could have with it, then choose a north-star metric and propose an MVP that addresses that experience. ```hint Worst should also be real Rank candidate failures by how badly they hurt the customer and by how often they plausibly happen, so the MVP targets a breakdown worth fixing rather than a freak edge case. ``` ### Clarifying Questions - May I pick whichever of the three businesses I know best, or should the choice reflect something about this role? - For Turo or the hotel, should I stay on the guest or renter side, or are hosts and hotel staff in scope as users too? - Does "worst" mean the most damaging moment for a single customer, or the failure that does the most total harm across customers? - Is the MVP meant to ship quickly on existing app surfaces, or can it include new operational work such as a dedicated support team? ### What a Strong Answer Covers - A justified choice of business and customer segment, with the journey mapped to show where it breaks - A worst-case experience chosen on both severity and frequency, with its root causes - A north-star metric that captures the value the fix restores, plus supporting and guardrail metrics - A small, testable MVP aimed at the root cause, with an explicit list of what it leaves out - How the MVP would be tested and which result decides the next step ### Follow-up Questions - If your MVP depends on the other side of the business (hosts, venues or hotel staff) changing behavior, how do you get them to adopt it? - How would you keep the fix from being abused, for example by customers falsely reporting a failure to collect credits? - Would your north-star metric change if you had picked one of the other two businesses? Why?