In the early days, I used email to experiment with pricing by sending different offers to customers, which helped us find the best price for our market.

Experimentation is key in pricing strategy, especially for AI products. Testing different pricing models helps determine what resonates with customers and drives value.

At Superhuman, we manually onboard every new user, which has created superfans and allowed our engineers to focus on product development rather than onboarding flows.

I realized that as a CEO, I can define what my role should be at Superhuman. I hired a great president, reducing my direct reports from eight to two, which allowed me to spend 60% to 70% of my time on product, design, and marketing.

Creating something remarkable is one of Superhuman's core values. We aim to deliver quality that is so compelling that people can't help but share it with others.

Pricing should be viewed as a tool to learn about customer demand and value perception, helping to refine your product offering.

For pricing experiments, it's crucial to understand whether you're growing virally or need to fund growth through paid marketing, as this affects your pricing strategy.

To determine pricing, explore how your target customers pay for similar software products, whether it's a flat fee, per usage, or other structures, and align your pricing strategy accordingly.

In the early days of Superhuman, we insisted on one-on-one onboarding, which was the right decision. At our peak, we had about 20 people doing manual onboarding.