The original Google Maps redesign simplified five search boxes into one. Years later, the app is again cluttered. This illustrates a natural product lifecycle: feature expansion leads to clutter, which necessitates a periodic, principles-based simplification to refocus on core user needs.

A company with modest growth experimented with niche content for a small user segment, revealing a massive, underserved market. This led to a second, separate app that quickly surpassed the original product's revenue and drove hyper-growth, challenging the "focus on one thing" dogma.

A dual-track launch strategy is most effective. Ship small, useful improvements on a weekly cadence to demonstrate momentum and reliability. For major, innovative features that represent a step-change, consolidate them into a single, high-impact 'noisy' launch to capture maximum attention.

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.

Treat AI initiatives as two separate strategic pillars. Create one roadmap focused on internal efficiency gains and cost reduction (productivity). Maintain a separate roadmap for developing new, revenue-generating customer experiences (growth). This prevents conflating internal tools with external products.

For a mature product, a key growth lever can be removing identity friction. By allowing users to bring their existing accounts (e.g., Gmail) instead of forcing a new one (e.g., Yahoo.com), you lower barriers, solve the 'cold start' problem, and can dramatically increase adoption by delivering immediate value.

Don't force your sales team to learn and sell a completely new product. Instead, integrate the new capability into an existing, successful product, making it "first" or "default" for that channel. This reduces sales friction and complexity, leveraging established momentum for adoption.

After reaching scale, a product's dormant user base is a massive growth opportunity. Activating these users requires designing specific return experiences, like Duolingo’s proficiency tests, which can be a bigger lever than new user acquisition.

The decision to launch a new app, rather than add a feature, was driven by user research revealing a different core "job to be done." One app was for getting kids to sleep; the new one was for passing on faith. Understanding this motivational difference was key to unlocking growth with a separate product.