{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Knowledgebase Ninjas","title":"Metrics That Matter: Exploring The Use of AI and Analytics to Optimize Technical Content with Renee Carignan","html":"","width":"100%","height":180,"duration":968,"description":"In this episode of the Knowledge Base Ninjas podcast, Renee Carignan, Manager of Technical Writers at Pendo, discusses the transformative role of AI in technical writing. She talks about how AI-powered tools are \n\n\n\n--revolutionizing documentation\n\n-- the impact of data analytics in making content more user-centric \n\n-- why optimizing for AI-driven search is crucial.\n\n\n\nRenee shares the best practices she follows to keep documentation relevant and user-friendly. She emphasizes the importance of tracking page views to understand which content is resonating with users and why.\n\nShe also delves into the intricacies of using data analytics to refine the documentation process. By leveraging search data, technical writers can ensure their content reaches the right audience at the right time.\n\nThe integration of AI is reshaping technical writing, making it imperative to optimize content for AI-driven summaries to maintain visibility. The challenge lies in understanding how AI-generated summaries are reshaping the way users consume content and how to choose the right analytics tools for deeper analysis.\n\nFor aspiring technical writers, Renee advises starting with simple documentation projects, like detailing the use of a tool, to build skills and confidence.\n\nCatch the full conversation on the Knowledge Base Ninjas podcast for valuable takeaways and pro tips.","thumbnail_url":"https://img.transistorcdn.com/I3uR1xA3Et2H8jv2qpXR7ZbQ4mi8AR5s21zNHZxQ-IU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xYzlm/ODljN2FkYWE3NDA3/OWY3MzYzMjk2ZWM1/YzdjZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}