Designing for emotional residue, rather than just functional outcomes, is becoming crucial as automation and AI change product development. Emotional residue—the lasting feelings users have after interacting with a product—can distinguish successful products in a market where functionality is increasingly commoditized. By prioritizing emotional quality and collaboration across teams, companies can create meaningful experiences that drive user loyalty and advocacy.

Notion has transformed its product feedback loop by implementing Enterpret, which automates user insights and improves data reliability. By using a unified feedback platform and machine learning, Notion has significantly reduced the time to generate user insights reports and enhanced communication between product operations and development teams regarding customer issues.

The article outlines 15 practical ways to use AI at home, aimed at helping users gradually build their AI skills through simple tasks that evolve in complexity. It emphasizes starting small with everyday queries and automating routine tasks using AI tools, ultimately preparing users to develop their own AI products.

Notion AI Agents can streamline product development by automating tasks such as updating documents, generating status reports, and providing contextual information. The article presents 25 use cases that demonstrate how these tools can enhance collaboration and efficiency for product and engineering teams.

Canva utilizes Enterpret to effectively manage and analyze customer feedback from over 220 million users, enabling them to prioritize product development and enhance user experience. By automating insights and streamlining communication across teams, Canva aims to close the loop with their customers, ensuring their voices are heard in the product development process.