I started by trying to anchor on who actually needs this.
Start by clarifying the product context and target user, then define a crisp problem statement that highlights the core pain point. Next, outline a lean MVP that tests the riskiest assumptions with minimal features, and finally propose success metrics and next steps.
Pro tip: Anchor your MVP around a single high-value use case (e.g., scheduling hot water for morning showers) to avoid overbuilding, and emphasize learning goals over feature completeness.
Ask clarifying questions about the target market (e.g., homeowners, renters), existing solutions, and constraints. Identify the primary user persona and their shower water heating pain points.
Craft a concise problem statement that captures the user need, the gap in current solutions, and the impact. For example: 'Homeowners waste time and energy waiting for hot water or manually adjusting heaters; they need a convenient, remote way to control shower water temperature and timing.'
List key assumptions (e.g., users want remote control, they value scheduling, they have compatible heaters) and prioritize the riskiest ones to test in the MVP.
Define the minimal set of features that address the core problem and test assumptions. For example: a mobile app to remotely turn on/off the heater and set a target temperature, with basic scheduling. Exclude advanced features like voice control or AI learning.
Specify metrics to validate the MVP (e.g., % of users who schedule a shower, reduction in wait time, energy savings). Outline a plan to iterate based on feedback and data.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.