1. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance

How is it that Microsoft and OpenAI’s CEOs are telling us to panic because white collar jobs are going to be replaced by AI,Then there’s endless evidence of the opposite: Most companies that implement AI see little gains, with execs from over 80% of companies reporting no productivity gains at all.In this episode of the Product Impact Podcast we tackle Why Your AI Metrics Are Lying to You. We’ll provide you with a framework for improving AI product performance. We discuss how Evals can't answer the most important questions you have about your product's impact and the importance of calibrating your products for success by balancing key pillars.In this episode you’ll learn:- Agents hide friction from view, creating dangerous impact blindness - Balance power, speed, impact & joy to win in the AI era, like F1 cars - Success doesn’t equal satisfaction—you must measure both outcomes - Measure outcomes and feelings, not just activity logs and checkmarksRead the Strategy for Measuring & Improving AI Products we reference in the episode here: https://ph1.ca/blog/strategy-for-measuring-improving-ai-productsThank you for listening to the Product Impact Podcast (Formerly Design of AI)Prove impact. Improve impact. Scale impact.Learn frameworks and strategies to ensure your product is delivering impact to users, teams, businesses, and communities. We investigate enterprise adoption and highlight builders/startups disrupting value creation.Hosted by:Arpy Dragffy Guerrero https://www.linkedin.com/in/adragffy/Brittany Hobbs https://www.linkedin.com/in/brittanyhobbs/Subscribe to https://productimpactpod.substack.com for AI Strategy resourcesBrought to you by PH1 https://ph1.ca an AI strategy consultancy specialized in improving the success of your AI product.