To truly validate their idea, Moonshot AI's founders deliberately sought negative feedback. This approach of "trying to get the no's" ensures honest market signals, helping them avoid the trap of false positive validation from contacts who are just being polite.
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Saying 'no' to product ideas is often contentious. At GitHub, the process is simplified by first 'seeking the truth'—rigorously assessing if an initiative aligns with the team's definition of success. If it doesn't, the 'no' becomes an objective, logical conclusion rather than a subjective or political decision.
True problem agreement isn't a prospect's excitement; it's their explicit acknowledgment of an issue that matters to the organization. Move beyond sentiment by using data, process audits, or reports to quantify the problem's existence and scale, turning a vague feeling into an undeniable business case.
Instead of being discouraged by over 100 rejections, Canva's founder treated each one as a data point. She added new slides to her pitch deck to pre-emptively address every objection—such as market size or competition—making the pitch stronger and more compelling with each "no."
Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.
Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.
People are unreliable at predicting their future behavior. Instead of asking if they *would* use a new feature, ask for a specific instance in the last month where it *would have been* useful. If they can't recall one, it's a major red flag for adoption.
Instead of dismissing harsh criticism, extract the underlying truth. A brutal investor rejection focused Gamma on intertwining product and growth from the very beginning, acknowledging the difficulty of competing against incumbents. This became a foundational part of their strategy.
AI models tend to be overly optimistic. To get a balanced market analysis, explicitly instruct AI research tools like Perplexity to act as a "devil's advocate." This helps uncover risks, challenge assumptions, and makes it easier for product managers to say "no" to weak ideas quickly.
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.
