I spent too long on the obvious stuff like notifications and ratings and the interviewer kind of just waited.
Start by clarifying the goal of improving the post-booking experience for TaskRabbit, then segment the user journey post-booking into key stages (e.g., tasker assignment, scheduling, communication, task completion, payment, and review). Identify pain points in each stage and prioritize improvements based on impact and feasibility, aligning with DoorDash's focus on reliability and trust.
Pro tip: Tie your improvements to measurable outcomes like task completion rate, repeat booking rate, and NPS, and consider how TaskRabbit's two-sided marketplace dynamics (taskers and customers) affect each solution.
Confirm the objective: improve post-booking experience to increase customer satisfaction, retention, and tasker utilization. Define the post-booking journey from booking confirmation to review.
Break down the post-booking experience into stages: tasker matching, scheduling, communication, task execution, payment, and feedback. For each stage, identify common pain points for both customers and taskers.
Use a prioritization framework (e.g., impact vs. effort, RICE) to select the most critical pain points to address, considering business impact and technical feasibility.
For each prioritized pain point, suggest specific product improvements (e.g., real-time tracking, in-app chat enhancements, automated reminders) and define success metrics (e.g., task completion rate, time to match, customer satisfaction).
Recap the top recommendations, expected impact, and how you would validate them (e.g., A/B tests, user interviews). Suggest a phased rollout plan.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.