Instead of traditional PRDs, Robinhood starts product development by designing the four introductory 'swipey' screens a user sees. This mobile-first approach forces the team to succinctly summarize the product's value proposition from the customer's perspective before any code is written.
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AI prototyping doesn't replace the PRD; it transforms its purpose. Instead of being a static document, the PRD's rich context and user stories become the ideal 'master prompt' to feed into an AI tool, ensuring the initial design is grounded in strategic requirements.
The traditional, linear handoff from product spec to design to code is collapsing. Roles and stages are blurring, with interactive prototypes replacing static documents and the design file itself becoming the central place for the entire team to align and collaborate.
In AI, low prototyping costs and customer uncertainty make the traditional research-first PM model obsolete. The new approach is to build a prototype quickly, show it to customers to discover possibilities, and then iterate based on their reactions, effectively building the solution before the problem is fully defined.
Product Requirement Documents (PRDs) are often written and then ignored. AI-generated prototypes change this dynamic by serving as powerful internal communication tools. Putting an interactive model in front of engineering and design teams sparks better, more tangible conversations and ideas than a flat document ever could.
Robinhood is shifting its planning process to focus on what will be announced at its next public product keynote. Instead of setting abstract internal goals, this aligns the entire company around concrete, customer-facing deliverables and creates a powerful, immovable deadline for shipping.
Instead of writing detailed Product Requirement Documents (PRDs), use a brief prompt with an AI tool like Vercel's v0. The generated prototype immediately reveals gaps and unstated assumptions in your thinking, allowing you to refine requirements based on the AI's 'misinterpretations' before creating a clearer final spec.
Instead of relying on documents and KPIs, which can be misinterpreted, Shopify's design team creates tangible, visual 'North Stars.' This allows stakeholders across the company to have a concrete and rich debate about future direction, transforming design into a strategic alignment tool.
Instead of immediately building, engage AI in a Socratic dialogue. Set rules like "ask one question at a time" and "probe assumptions." This structured conversation clarifies the problem and user scenarios, essentially replacing initial team brainstorming sessions and creating a better final prompt for prototyping tools.
Robinhood's superior user experience isn't just the design team's responsibility; it's a core part of the company's DNA, driven by leadership. The CEO and VPs spend significant time on design details, ensuring a high bar for polish that competitors often neglect.
The misconception that discovery slows down delivery is dangerous. Like stretching before a race prevents injury, proper, time-boxed discovery prevents building the wrong thing. This avoids costly code rewrites and iterative launches that miss the mark, ultimately speeding up the delivery of a successful product.
