In a B2C company, running and analyzing experiments, especially A/B tests, is a critical skill for product managers (PMs) to determine the best-performing variations of a feature. However, B2B companies, which often have a smaller user base, can also adopt a data-driven approach by fostering a culture of experimentation focused on validating hypotheses. At Heap, PMs emphasize formulating hypotheses and tracking metrics beyond simple usage statistics to gain insights into user behavior and feature effectiveness. Experimentation is enhanced through strategies like time-boxing and de-risking projects by rolling out features gradually and monitoring changes closely. To gather real-world feedback, B2B PMs can utilize user interviews, painted door tests, and centralized tracking of feature requests. Heap also encourages creative and bold experimentation via company-wide hack weeks, allowing cross-functional teams to explore innovative ideas without the constraints of the regular roadmap. The culture at Heap supports experimentation by prioritizing data-driven decisions over hierarchical opinions, highlighting that even smaller user bases can benefit from rigorous testing and innovation.