Faced with endless potential use cases, Datycs' CEO reveals their prioritization strategy: they wait for a new feature request, such as for social determinants of health, to mature and be echoed by two or three other customers before investing significant resources in building it.

To test demand for an 'email campaigns' feature, Mailtrap added a non-functional button to their main menu. Clicking it led to a survey asking users what they wanted. This simple, no-code experiment generated 300 detailed replies in weeks without any incentives, validating the idea and creating a user-driven feature roadmap before any development began.

Instead of relying on internal intuition, baby care brand Coterie validated its expansion into skincare by directly surveying its D2C customer base. An overwhelming 8 out of 10 existing customers stated they would purchase the new product, effectively de-risking the launch before development.

Ramli John launched his paid beta program after writing only two of twenty chapters. This allowed him to gather market feedback exceptionally early, co-create the product with his most dedicated users, and pivot based on their input, significantly de-risking the final launch.

Avoid the trap of trying to achieve everything with one launch. Instead, define a single primary KPI—such as press mentions, sales rep message adoption, or a specific user action—and build the entire campaign strategy around optimizing for that one goal.

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.

Don't build a perfect, feature-complete product for the mass market from day one. It's too expensive and risky. Instead, deliver a beta to innovator customers who are willing to go on the journey with you. Their feedback provides crucial signals for a more strategic, measured rollout.

Contrary to a 'frictionless' growth mindset, legal tech unicorn Clio deliberately added hurdles like a 30-minute webinar to its beta program. This strategy filtered out casual users, ensuring they worked with a small, highly engaged customer cohort to truly validate the product's value before focusing on growth.

To set realistic success metrics for new AI tools, Descript used its most popular pre-AI feature, "remove filler words," as the baseline. They compared adoption and retention of new AI features against this known winner, providing a clear, internal benchmark for what "good" looks like instead of guessing at targets.