I went broad immediately and kind of regretted it.
Start by clarifying the product scope and user segments, then walk through the end-to-end travel journey to identify pain points. Prioritize improvements based on impact and feasibility, and propose specific, measurable solutions that leverage Google's strengths in data and AI.
Pro tip: Anchor your answer in a clear user persona and a metric (e.g., booking completion rate) to show product thinking, and tie improvements to Google's ecosystem (Search, Maps, Assistant) to demonstrate company fit.
Ask clarifying questions to define the product (e.g., leisure travel booking platform), target users (e.g., casual travelers), and key business objectives (e.g., increase bookings).
Outline the end-to-end travel experience from inspiration to post-trip, identifying stages like discovery, planning, booking, and in-trip support.
For each stage, pinpoint friction points such as overwhelming options, price opacity, or lack of real-time updates, using data or user research if possible.
Use a framework like RICE (Reach, Impact, Confidence, Effort) to prioritize which pain points to address first, balancing quick wins and long-term bets.
Suggest concrete features or changes (e.g., AI-powered itinerary builder) and define success metrics (e.g., conversion rate, user satisfaction) to measure impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.