Spent the first minute trying to figure out how narrow to go.
Start by clarifying the user segment and their pain points, then propose a focused solution that leverages the company's strengths. Prioritize features based on impact and feasibility, and define success metrics.
Pro tip: Anchor your solution in a specific user journey (e.g., ordering lunch at work) to make it concrete and show empathy. Also, consider how the solution drives business value, such as increased order frequency or retention.
Define who the health-conscious users are (e.g., busy professionals, fitness enthusiasts) and their key pain points when ordering food delivery. Ask clarifying questions if needed.
Generate a range of ideas, from simple filters to personalized meal plans, ensuring they address the identified pain points. Consider both quick wins and long-term innovations.
Use a framework like RICE or impact/effort to prioritize the most promising ideas. Focus on features that are high-impact, feasible, and align with company goals.
Identify key metrics to measure success, such as adoption rate, order frequency, or user satisfaction. Tie them back to business objectives like retention or average order value.
Recap your recommendation and mention how you would test and iterate based on user feedback and data.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.