Instead of chasing broad audience growth, cultivate a deep relationship with your most engaged 1%. This small, dedicated group can provide invaluable feedback, drive engagement on demand, and act as a powerful sounding board for new ideas, becoming a strategic asset.

Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.

Before changing the product, redefine your target market to focus only on the user segments that already love what you've built. By simply segmenting their data to exclude misaligned personas, Superhuman's PMF score jumped 10% without writing any code.

Early customer feedback will be polarized, and this is normal. The key is to compare the 'hell yes' customers with the 'not unhappy' ones. Meaning emerges from this contrast, revealing the subtle differences that drive true product love and guide your roadmap.

Instead of diluting messaging to appeal to everyone, embrace what makes your product unique—even a polarizing ingredient. Targeting the passionate niche who loves that ingredient creates powerful evangelists and a strong initial base, which is more effective than achieving a broad, lukewarm reception.

To sustainably increase product-market fit, dedicate half your resources to doubling down on what users already love and the other half to removing what holds others back. Only fixing problems erodes your magic, while only building new features fails to expand your market.

Instead of relying solely on demographic or behavioral data, use motivational segmentation to understand *why* users choose your product. Grouping users by their core emotional drivers (e.g., to feel productive, to feel connected) uncovers deeper needs and informs emotionally resonant features.

Superhuman's Product-Market Fit engine advises completely ignoring feedback from "not disappointed" users. This counterintuitive strategy prevents teams from being distracted by requests for features that are unlikely to ever convert detractors into fans.

Instead of broad surveys, interview 10-12 satisfied customers who signed up in the last few months. Their fresh memory of the problem and evaluation phases provides the most accurate insights into why people truly buy your product, allowing you to find patterns and replicate success.