The 'for engineers' constraint tripped me up more than I expected.
Start by clarifying the goal: a food pickup app for Yelp engineers, likely to improve their daily work experience. Then, segment the engineers (e.g., by team, dietary needs, schedule) and identify pain points in their current food pickup process. Finally, ideate features that address these pain points, prioritize them, and define success metrics.
Pro tip: Tie the solution back to Yelp's core strengths—local business data and reviews—to create a differentiated product that also benefits Yelp's restaurant partners. Show awareness of Yelp's internal culture and constraints, such as security and integration with existing tools.
Ask clarifying questions to understand the purpose: Is this to improve engineer productivity, foster team bonding, or test a new product idea? Consider constraints like budget, integration with Yelp's systems, and privacy.
Segment Yelp engineers by role, team, dietary preferences, and work patterns. Identify their key needs: quick pickup, healthy options, group ordering, budget, and reliability.
Brainstorm features that address the needs, such as personalized recommendations based on Yelp data, scheduled group orders, integration with calendars, and real-time pickup notifications.
Use a framework like RICE or MoSCoW to prioritize features. Define a minimum viable product that delivers core value with minimal effort, considering technical feasibility and impact.
Propose metrics like adoption rate, time saved, user satisfaction, and impact on local restaurant partnerships. Outline a plan for gathering feedback and iterating.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.