Deep Dives: Going from Zero to One on AI Feature Suite at Loom

The design team at Loom faced the challenge of developing their all-new AI feature suite within a short timeframe. Through collaboration and teamwork, they were able to solve 20 high-priority problems in just two hours. The team consisted of product designers, a brand designer, and a UX researcher. The research conducted prior to the project revealed pain points and inefficiencies in user workflows, leading to a focus on improving efficiency of communication. The team explored various concepts, including AI coaching, auto titles, chapters, and summaries. They aimed to create a cohesive and valuable user experience, aligning on a group of six features for the initial closed beta release. The team prioritized aligning with the Loom brand while introducing new visual elements specific to the AI features. The success of the project was measured not only by revenue generation but also by user engagement and feedback. The team implemented a comprehensive testing and feedback process, including a beta group, to gather insights and improve the features. The upgrade flow and monetization strategies were carefully designed to ensure a seamless and valuable user experience while allowing users to trial and upgrade based on their needs. Looking ahead, the team plans to focus on advanced editing features and continue exploring the possibilities of AI in the video space.