I went straight to brainstorming use cases and kind of skipped the 'who is this actually for' step, which I regret.
Start by clarifying the goal: are we building a standalone product or enhancing existing offerings? Then, identify a specific user segment and their pain points, and propose a product concept that leverages OpenAI's text-to-music capabilities, outlining key features, monetization, and success metrics.
Pro tip: Anchor your answer in OpenAI's mission and existing ecosystem—show how the product could drive API usage or complement tools like ChatGPT, rather than just being a cool demo.
Ask whether the goal is a new product, a feature, or an API. This ensures alignment with OpenAI's strategic priorities.
Choose a specific segment (e.g., content creators, indie game developers) and articulate a clear problem they face that text-to-music solves.
Describe the product's core functionality, key features, and how it integrates with existing workflows or OpenAI's platform.
Propose a pricing model (e.g., subscription, API credits) and a launch strategy targeting the chosen segment.
List key metrics (e.g., adoption, retention, API calls) and potential risks (e.g., copyright, quality) with mitigation.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.