Post by Melissa Milloway

Learning Leader & Strategist | ATD Author | Speaker | LinkedIn Top Voice in Education | 115K+ Community

How do you get AI to solve your users' recurring problems? In video 4 of my course, that's what we'll figure out. In video 3 of our 7-part series on building a proof of concept with AI to solve recurring problems in your organization, we turned pain points into user stories. Now we turn those user stories into a document that tells AI what to build. That's what a product requirements document, or PRD, does. Our user stories told us people need to create layouts without waiting weeks and edit copy without relying on someone else. The PRD expands that into everything an AI coding tool needs to get started. ➡️ Who the product is for. ➡️ What the core features are. ➡️ What every screen looks like. ➡️ What's out of scope. To build the proof of concept, we're using Claude Code. It lets you build apps and digital experiences without writing a single line of code. To write the PRD, we used a Claude Code Skill, a set of instructions that guides Claude through a specific task. This one is built specifically for PRDs. If you don't have Claude Code, the PRD template in the comments works the same way in any AI coding tool. Here's what Claude produced: a product overview, target users, core features, screen-by-screen descriptions, and success criteria. Without a PRD, the problems we identified never get solved. In video 5, we'll take the PRD and use it to build the proof of concept. View the filled-in PRD example:https://lnkd.in/gCYAnk6Y View the PRD Skill: https://lnkd.in/g7hGffMh #AI #FutureOfWork #BusinessStrategy

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