Standard personas and interview summaries distill out the most crucial data: the exact words and conversational framing buyers use. To truly speak their language, teams must analyze complete, raw conversations from sales calls and interviews, focusing on *how* they talk, not just *what* they say.

Superhuman's CEO prioritizes deep analysis of a small number of verbatim customer quotes—what he calls "data with a lowercase d." He believes raw, uninterpreted customer language is the most effective way to understand user needs and push his product teams toward real insights.

Treat customer conversations like coded messages. Create a "translation guide" by categorizing every statement into three buckets: their core goal (demand), the tools they use (supply), and random noise (irrelevant). This structure reveals what they'll actually pay for.

Customers use the same words and grammar as you, but the meanings are often different. This creates a dangerous illusion of understanding, leading you to build the wrong product. You must actively translate their language, which is a mix of demand, supply, and noise.

Go beyond simple customization and build proposals using the customer's own words and lingo from discovery calls. Reflecting their exact language back to them proves you listened and understood their unique pain. This makes them feel heard and emotionally connects them to the solution, creating urgency.

Your team's internal names for features often confuse customers. Systematically harvest the exact words customers use to describe outcomes during sales or support calls and use that language to rename features. This self-identifying language, used by Apple (e.g., "AirDrop," "Retina Display"), makes products instantly understandable.

Marketers often resist using direct customer language because it feels too simple or 'pedestrian.' However, this raw language is what truly resonates with prospects. Prioritize getting more customers over sounding 'good' or 'on-brand,' as polished copy often sounds like marketing that people automatically tune out.

Don't get attached to your technical jargon. When customers started calling their "context graph" a "company brain," the team adopted that language. Using the customer's own words makes the value proposition more intuitive and easier for internal champions to share with colleagues, accelerating adoption.

Many teams sprinkle buyer-friendly words onto existing product-centric messages. This is ineffective. Instead, the core message should be constructed from the ground up using the buyer's native language and how they frame their own problems, making it inherently resonant.