To scale your support program, it's essential to learn and adapt from your support data. Collecting, analyzing, and acting on this data can help you understand your users, improve your support, and grow your business. To do this, you can use surveys, polls, and feedback forms to gather user feedback and satisfaction. Additionally, you can measure user loyalty and advocacy with net promoter score, customer effort score, and customer satisfaction score. You can also measure support efficiency and productivity with first response time, resolution time, and backlog. Moreover, you can identify support issues, trends, and patterns through support tickets, chats, and calls. Finally, you can use A/B testing, experiments, and pilots to test and validate new support ideas and solutions. By learning from your data in this way, you can improve your support innovation and optimization while creating a data-driven support strategy and culture.