Collect your terms
Gather phrases from interviews, support tickets, and reviews describing the problem.
CUSTOMER LANGUAGE AUDIT
Category Language Dictionary
Enter how many terms you've collected for describing your customers' problem, and how many came straight from customer research versus internal jargon, to get a customer-language authenticity score.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Tag the source
Note how many came directly from customers versus internal/industry jargon.
Get an authenticity score
See how customer-authentic your glossary is, and where jargon is creeping in.
Continue learning: How to define your MVP's value proposition · Customer interviews before building your MVP
Frequently asked questions
Why does customer-sourced language matter this much?
Copy that mirrors the customer's own words converts better because it matches how they already think and search — jargon requires them to translate your language into theirs.
Where do I find customer-sourced terms?
Interview transcripts, support tickets, review sites, and community forums are the richest sources of verbatim customer language.
Is some jargon acceptable?
Yes, especially for precise technical audiences — but track the ratio so it doesn't dominate customer-facing copy like landing pages and onboarding.
How big should my glossary be?
Even 15-20 well-sourced terms is enough to meaningfully improve headline and CTA copy — depth of sourcing matters more than raw count.
How We Compare
| Feature | MVPHub | Dovetail | Notion |
|---|---|---|---|
| Authenticity scoring | Included | Not included | Not included |
| Qualitative research tagging | Not included | Included | Limited |
| Freeform glossary storage | Not included | Not included | Included |
| Jargon-vs-customer-language ratio | Included | Not included | Not included |
Dovetail organizes qualitative research and Notion stores freeform notes, but neither computes a language-authenticity score. MVPHub gives a quick ratio check for copywriting decisions.
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