I went straight into listing pain points, which in retrospect was the wrong move.
Start by clarifying the goal: improving the post-booking experience to increase retention and trust. Then, use a data-driven framework to identify the worst pain points, prioritize based on impact and effort, and propose a phased roadmap with success metrics.
Pro tip: Anchor your answer in DoorDash's marketplace dynamics: emphasize how fixing post-booking issues reduces cancellations and increases repeat usage, directly impacting liquidity and unit economics.
Clarify what 'post-booking experience' includes (e.g., communication, scheduling, task completion, support) and the overarching goal (e.g., increase repeat bookings, reduce cancellations).
Use quantitative (funnel analysis, NPS, CSAT) and qualitative (user feedback, support tickets) data to pinpoint the worst friction points in the post-booking journey.
Apply a prioritization framework like RICE or Impact/Effort to rank issues, considering factors like frequency, severity, and strategic alignment.
Outline potential solutions for the top priority, including quick wins and long-term fixes, and suggest a phased rollout with clear milestones.
Specify metrics to measure success (e.g., repeat booking rate, time to task completion, support contact rate) and describe how you would monitor and iterate.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.