I jumped straight into solutions and had to backtrack when they asked me to slow down and define the problem better first.
Start by clarifying the goal (e.g., reduce wait times, improve guest satisfaction, increase revenue) and segment the problem (rides, guests, operations). Then brainstorm solutions across three horizons: quick wins (e.g., real-time wait updates), medium-term (e.g., virtual queue), and long-term (e.g., capacity expansion). Finally, prioritize using a framework like RICE or Impact/Effort, considering feasibility, cost, and guest impact.
Pro tip: Anchor your prioritization in measurable outcomes (e.g., reducing perceived wait time by 20% or increasing ride throughput by 15%) and acknowledge trade-offs like guest experience vs. operational cost. This shows you think like a PM who balances user needs with business viability.
Ask clarifying questions to understand the scope: Is the goal to reduce actual wait time, perceived wait time, or both? What metrics matter (guest satisfaction, revenue, throughput)? Are there constraints (budget, space, regulations)?
Break down the problem by guest journey (pre-arrival, in-park, on-ride) and by solution type (technology, operations, incentives). Brainstorm ideas for each segment, aiming for quantity before quality.
Group ideas into themes (e.g., demand management, capacity optimization, experience enhancement). For each, estimate potential impact on wait time and guest satisfaction, and assess feasibility (cost, time, complexity).
Apply a prioritization framework like RICE (Reach, Impact, Confidence, Effort) or Impact/Effort matrix to rank ideas. Consider dependencies and quick wins vs. long-term bets.
Outline a phased roadmap: immediate actions (e.g., pilot virtual queue), medium-term (e.g., dynamic pricing), long-term (e.g., new ride). Define success metrics and a plan to measure and iterate.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.