I spent way too long in the problem space trying to figure out which type of chef they meant.
Start by clarifying the goal and scope: define what 'faster' means (prep, cooking, plating) and which chefs (home, professional, cuisine type). Then segment chefs, pick a target segment, and design a product that addresses their biggest pain points, leveraging Google's strengths in AI, data, and ecosystem.
Pro tip: Anchor your answer in a specific chef persona and a measurable speed metric (e.g., reduce prep time by 30%). Show how your product creates a moat for Google by integrating with existing Google services like Assistant, Lens, or Cloud.
Ask clarifying questions to define the problem: What does 'faster' mean? Which chefs? What cuisines? What constraints (budget, kitchen environment)? This shows you avoid assumptions and align on goals.
Segment chefs by type (home, professional, culinary students) and pain points (prep, cooking, plating, cleanup). Choose a target segment based on size, pain intensity, and Google's ability to win.
For the chosen segment, list specific time-consuming tasks (e.g., chopping, monitoring, recipe lookup). Prioritize those where technology can provide a 10x improvement.
Generate 2-3 product ideas (e.g., AI-powered smart cutting board, AR-guided cooking assistant, voice-controlled recipe manager). Evaluate each on impact, feasibility, and differentiation; pick one.
Outline the MVP features, how it works, and how you'd measure success (e.g., time saved, user retention). Mention potential risks and how you'd validate with user testing.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.