Example Output 1: AI-Powered Customer Support Chatbot 1. Impact Vision: When users need quick support, they struggle with delayed response times and generic answers. This AI-powered chatbot delivers instant, personalized responses, resolving 80% of queries without human intervention and improving customer satisfaction by 25%. 2. Core Scenarios: As a customer, I want a 24/7 support channel so that I can resolve issues anytime. As a support agent, I want repetitive queries automatically resolved so that I can focus on complex problems. As a manager, I want real-time insights into support metrics so that I can optimize my team’s performance. 3. Non-Negotiables: Instant response within 2 seconds. 80% accuracy in understanding user intent. Seamless handoff to a live agent for unresolved issues. 4. Risks and Moonshots: Risk: AI misunderstanding queries and frustrating users. Mitigation: Continuous learning with user feedback loops. Moonshot: Enable voice-based chatbot interactions for hands-free convenience. 5. Challenge for Bigger Thinking: How can this chatbot become so intuitive that users prefer it over human interaction?