For established products that are integrating new AI capabilities, what are your best practices for weaving AI into the existing narrative without overwhelming the current user base, and how do you balance educating customers on new features while maintaining simplicity?

This is something I've been grappling with for some time too, but have learned a few best practices through trial and error (and seeing what resonates with customers):

1. Speak to how AI supercharges your overall narrative/platform value: often times, we get caught up in launching new products and thinking about what makes them unique/different but instead, I'd focus on how does it amplify your existing product value. AI is a catalyst in many respects, so it should further demonstrate your established product's offering vs. pull away from it. This can be done by doubling down on pain points, value props, and what you already offer today.

2. Drill into key use cases or common jobs to be done: for your established product, you've most likely already defined your "product market fit" and what customer use cases you uniquely support. To make it more relatable when you launch new products, you want to make it about the customer. Not you. This means speaking to their core use cases and how your AI solution further supports them.

3. Lean into "how-to" forums/content: I've personally been overwhelmed by all the possibilities of AI and when you stare at the blank screen with the cursor flashing from the chat bot, I don't always know where to start. Customers are the same way. Educating them via simple use cases and "how-to" content is integral to ensuring product adoption. It can be a simple video series, customer edu campaign, or something else—as long as it solves for the range of learning curves we're seeing & experiencing with AI.