A roadmap is crucial for guiding a digital product to its full potential, and the advent of AI and data analytics has transformed roadmapping from intuition-based to data-driven. Data-driven roadmapping involves using quantitative data, such as usage analytics and feature adoption rates, and qualitative data, like customer feedback and market research, to align product development with user needs and market demands. This approach reduces bias, informs feature prioritization, and enhances customer satisfaction by addressing actual pain points. Key metrics include NPS, satisfaction scores, user engagement, and feature adoption, which help refine decision-making and optimize resource allocation. Implementing a data-driven roadmap involves defining objectives, collecting data, analyzing insights, prioritizing features, and communicating with stakeholders, creating a strategic, customer-centric development process. Embracing data allows product managers to make informed decisions, reducing guesswork and ensuring each product addition contributes to overall success. LogRocket is highlighted as a tool that provides insights into user experience, helping teams identify and prioritize necessary product changes.