Cues' initial product was a specialized AI design agent. However, they observed that users were more frequently uploading files to use it as a knowledge base. Recognizing this emergent behavior, they pivoted to a more horizontal product, which was key to their rapid growth and product-market fit.

Figma's expansion into multiple products (FigJam, Slides) wasn't based on abstract strategy but on observing users pushing the main design tool to its limits for unintended use cases. Identifying these 'hacks' revealed validated market needs for dedicated products.

Instead of inventing new features, Prepared identified its most lucrative expansion opportunity by seeing users' painful workarounds. They noticed 911 dispatchers manually copy-pasting foreign language texts into Google Translate—a clear signal of a high-value problem they could solve directly.

When Figma saw users adopting its design tool for unintended purposes like brainstorming, it created separate, dedicated products (e.g., FigJam). This strategy prevents the core product from becoming bloated and complex, allowing each new product to develop its own focused identity and user experience.

Intentionally create open-ended, flexible products. Observe how power users "abuse" them for unintended purposes. This "latent demand" reveals valuable, pre-validated opportunities for new features or products, as seen with Facebook's Marketplace and Dating features.

Instead of pre-engineering tool integrations, Block lets its AI agent Goose learn by doing. Successful user-driven workflows can be saved as shareable "recipes," allowing emergent capabilities to be captured and scaled. They found the agent is more capable this way than if they tried to make tools "Goose-friendly."

Identify how users are already "hacking" your product for unintended purposes (e.g., using Facebook Groups for commerce), then build dedicated features to serve that existing intent. You can't make people do new things, but you can help them do what they already want to do more easily.

Dynamic Signal's successful pivot from influencer marketing to employee advocacy came from accidentally discovering that employees were their most engaged and consistent users. The real opportunity was revealed by observing unplanned behavior, not by executing the original strategy.

The creation of ChatGPT Health was not a proactive pivot but a direct response to massive, organic user behavior. OpenAI discovered that 1 in 4 weekly active users—over 200 million people globally—were already using the general purpose tool for health queries, validating the immense market demand before a single line of dedicated code was written.