We decode the words customers actually use to show where trust is building, where hesitation is hiding, and what your team should do next.
The Capodan method
We turn customer and market language into the signals teams need to build confidence, reduce friction and move faster.
Reviews, calls, surveys, support logs, social threads and competitor copy. Evidence from how people actually speak.
We identify the cues that reveal trust, hesitation, confusion, momentum and unmet demand.
You get the implication, the route forward and the language to act with confidence.
Commercial stories
Domino's logo
Domino's rebuilt taste, crust and sauce around the language customers were already using, then made that feedback central to the relaunch.
McDonald's logo
McDonald's saw people wanted breakfast beyond the old breakfast window and brought the offer closer to how customers wanted to buy.
Dove logo
Dove moved away from narrow category ideals and built around a customer truth: many women did not see themselves reflected in advertising.
LEGO logo
LEGO refocused on the play experience customers cared about most, rebuilding around clearer customer value and product discipline.
T-Mobile logo
T-Mobile built its Un-carrier strategy around pain points customers disliked most, from contracts to upgrade friction and needless complexity.
Hyundai logo
Hyundai responded to recession-era buyer fear by reframing the offer around reassurance, not only vehicle features.
Coca-Cola logo
Share a Coke put names directly on bottles, making the product easier to talk about, share and connect with socially.
Snickers logo
Snickers made hunger instantly recognisable through language people already understood: you are not yourself when hungry.
Aerie logo
Aerie moved away from heavily retouched beauty imagery and aligned more closely with how customers wanted to see themselves.
Monzo logo
Monzo simplified parts of its business banking journey and help content so customers could act without needing support.
Moz logo
Moz used interviews with paying, trial and cancelled customers to answer real objections earlier in the buying journey.
Ryanair logo
Ryanair softened avoidable journey friction while keeping the low-cost model customers already understood.
Expedia logo
Expedia found that an optional form field was causing billing confusion. Removing the ambiguity helped more people complete booking.
ASOS logo
ASOS reframed account creation so the journey felt less like forced registration and more like completing the purchase.
Heritage Foundation logo
The Heritage Foundation improved value-proposition copy and reduced donation-page friction to make the ask easier to act on.
What this looks like
A concise view of what customers are signalling, why it matters commercially, and where to act next.
Interest is present, but confidence is conditional. People are looking for proof, clarity and lower perceived risk.
The offer may be strong, but the language around it is not removing enough doubt at the decision point.
Sharpen proof points, simplify claims and give sales or marketing teams language that answers the hidden objection.
Ways to work together
Use Capodan when you need to understand hesitation, prove what builds confidence, or turn customer language into growth moves.
We analyse reviews, calls, surveys and conversations to show what is shaping trust, hesitation, confidence and action.
When surface feedback is not enough, we design and deliver research that shows what matters and what to do next.
Our deeper work maps changing expectations, latent demand and the friction points that shape whether customers move or stall.
Common questions
We help businesses uncover what their audience really means, not just what they say. Through linguistic analysis, we surface the signals that shape decisions, perceptions, and product fit.
Most platforms stop at what’s said. We go deeper, using expertise to interpret how it’s said and why it matters. We decode tone, framing, resistance, and latent demand.
No, we work across product, strategy, insight, CX, and leadership. Anywhere language plays a role in decisions, we add clarity and precision.
We start by understanding your challenge, then collect or work with existing language data from reviews to calls to competitor messaging. We surface patterns, signals, and meaning through expert analysis, not just AI.
Our tools support us, but interpretation is always human. That’s where the real insight lies, in context, nuance, and framing.
Customer reviews, call transcripts, sales pitches, chatbot logs, brand messaging, competitor pages, any language data can be turned into insight.
Absolutely. We often extract more value from what you already have, it’s just been waiting to be interpreted properly.
We tailor to the business need, decks, headline summaries, or leadership briefs.
Both. In fact, many of our sharpest insights come from complex or technical industries where language is the key barrier to alignment.