Product teams often fear showing prototypes because strong customer demand creates pressure. This mindset is flawed. Having customers eager to buy an unbuilt feature is a high-quality signal that validates your roadmap and is the best problem a product manager can have.
Related Insights
Instead of guarding prototypes, build a library of high-fidelity, interactive demos and give sales and customer success teams free reign to show them to customers. This democratizes the feedback process, accelerates validation, and eliminates the engineering burden of creating one-off sales demos.
Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.
Traditional "writing-first" cultures create communication gaps and translation errors. With modern AI tools, product managers can now build working prototypes in hours. This "show, don't tell" approach gets ideas validated faster, secures project leadership, and overcomes language and team barriers.
When leaders demand high-fidelity prototypes too early, don't react defensively. Instead, frame your pushback around resource allocation and preventing waste. Use phrases like "I want to make sure I'm investing my energy appropriately" to align with leadership goals and steer the conversation back to core concepts.
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.
Historically, resource-intensive prototyping (requiring designers and tools like Figma) was reserved for major features. AI tools reduce prototype creation time to minutes, allowing PMs to de-risk even minor features with user testing and solution discovery, improving the entire product's success rate.
Avoid the trap of building features for a single customer, which grinds products to a halt. When a high-stakes customer makes a specific request, the goal is to reframe and build it in a way that benefits the entire customer base, turning a one-off demand into a strategic win-win.
When an engineering team is hesitant about a new feature due to unfamiliarity (e.g., mobile development), a product leader can use AI tools to build a functional prototype. This proves feasibility and shifts the conversation from a deadlock to a collaborative discussion about productionizing the code.
Crisp.ai's founder advocates for selling a product before it's built. His team secured over $100,000 from 30 customers using only a Figma sketch. This approach provides the strongest form of market validation, proving customer demand and significantly strengthening a startup's position when fundraising with VCs.
