The twist here is the dual customer thing.
Start by clarifying the goal: design a product for museum visitors that leverages the startup's unique position and aligns with Google's product principles. Focus on user needs, then ideate solutions, prioritize based on impact and feasibility, and define success metrics. Show adaptability by acknowledging constraints and iterating based on feedback.
Pro tip: Demonstrate empathy for both museum visitors and museum staff, as the product must serve visitors while being viable for museums to adopt. Also, tie your solution to Google's mission of organizing information and making it universally accessible.
Ask clarifying questions to understand the startup's product, museum partner goals, and visitor demographics. Define the problem space and success criteria.
Segment museum visitors (e.g., tourists, students, enthusiasts) and identify their pain points and motivations. Consider both in-person and remote experiences.
Brainstorm product ideas that address user needs, leveraging technologies like AR, AI, or mobile apps. Ensure alignment with the startup's capabilities and museum constraints.
Evaluate ideas based on impact, feasibility, and cost. Select a minimum viable product to test with a pilot museum, focusing on core value proposition.
Establish metrics like visitor engagement, satisfaction, and museum adoption. Plan for feedback loops and iterations to refine the product.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.