Tricky because you have to context-switch into a company you don't work at and make judgment calls with incomplete info.
Start by framing the post-booking experience as a critical retention and monetization lever for OpenTable, then identify a specific, high-impact problem (e.g., no-shows or poor restaurant-customer communication) using data and user empathy. Prioritize using a framework like RICE or impact/effort, and propose a phased solution with clear success metrics.
Pro tip: Show you understand OpenTable's two-sided marketplace: any solution must balance diner convenience with restaurant operational realities, and tie directly to revenue (e.g., reducing no-shows increases restaurant retention and diner reliability scores).
Define what 'post-booking experience' includes (confirmation, reminders, modifications, check-in, post-meal follow-up) and state the primary business goal (e.g., reduce no-shows, increase repeat bookings).
Use data and user insights to pinpoint the most painful gap—e.g., high no-show rates due to lack of flexible cancellation or poor reminder timing—and quantify its impact on diners and restaurants.
Apply a prioritization framework (e.g., RICE, impact/effort) to compare potential solutions, considering factors like reach, impact on key metrics, confidence, and effort.
Outline a short-term fix (e.g., smarter reminders) and a long-term vision (e.g., dynamic waitlist integration), with clear success metrics (e.g., no-show rate reduction, booking frequency).
Acknowledge potential challenges (e.g., restaurant adoption, privacy concerns) and how you'd mitigate them, showing balanced thinking.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.