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Welcome to another episode of Category Visionaries — the show that explores GTM stories from tech’s most innovative B2B founders. In today’s episode, we’re speaking with Ori Entis, CEO and co-founder of Staircase AI, a customer intelligence and analytics platform that has raised $5 million in funding.
Staircase AI's journey highlights the importance of being willing to pivot when things aren't working. Despite the allure of product-led growth, Ori and his team recognized early on that PLG wasn't the right fit for their product and target persona. By failing fast and course-correcting to an enterprise sales model, they were able to regain traction. Founders should cultivate a culture that celebrates learning from failure and adapt quickly when data reveals a need for change.
As a startup founder, it's easy to fall in love with your own ideas and resist pivoting based on data. Ori shares how he had to temper his impatience to change messaging and trust his team's data-driven approach to iterative testing. While conviction is essential, founders must also be humble enough to let data guide critical decisions around positioning, features, and GTM. Striking this balance accelerates the path to product-market fit.
Looking back, Ori wishes he had brought in experienced leaders in areas like marketing and finance earlier in Staircase AI's journey. As a technical founder, it's tempting to try to cover all the bases yourself, but this can slow your growth. Founders should prioritize hiring seasoned operators who can shorten learning curves and help the company execute faster. Even if the talent market is tight, the right leadership hires pay major dividends.
Staircase AI's PLG experiment revealed that bottoms-up adoption is challenging when a product requires broad data access and cross-functional collaboration. For B2B products that necessitate organization-wide buy-in, founders should design onboarding flows and value props with multiple stakeholders in mind. Solving for the needs of champions, influencers, and decision-makers across the org chart is key to driving successful implementations.
Ori estimates that Staircase AI's messaging changes every 3-6 months in response to product evolution, market maturity, and shifting customer needs. Rather than aiming for "perfect" positioning out of the gate, founders should prioritize testing and learning. By continuously collecting feedback and monitoring engagement data, startups can refine their narrative to resonate with ideal customers. Agility in messaging is a hallmark of category-creating companies.