From tech jargon to better questions.

01The problem

Recognising a keyword is only the start.

A job description can put Java and JavaScript a few lines apart. A CV might say Data Engineer, Data Scientist or ML Engineer. Familiar words can describe very different work.

Recruiters need enough context to understand the role and ask useful questions. I built RecruitLingo to connect those steps: what a term means, how to think about it, and what to ask next.

02The approach

Make the explanation useful on a real call.

1. 01

   Explain it in everyday language.

   Each glossary entry starts with a plain-English definition and an analogy. The point is to give the recruiter something they can understand and explain in their own words.

2. 02

   Turn understanding into a question.

   Entries include an interview question. Selected terms also include guidance on what a concrete answer sounds like and where to follow up.

3. 03

   Bring the context together.

   Role profiles and look-alike comparisons help untangle similar titles and terms. The JD and CV decoder brings that context into a screening brief, talent map and Boolean searches.

03An example

One term. A more useful conversation.

Here’s an entry from the glossary. Start with the meaning, then take the question into a screening conversation where it is relevant to the role.

04The product

A tool you can use today.

Start with an unfamiliar term, compare two roles, or bring a whole job description. RecruitLingo is live in beta, with the glossary, decoder and interface continuing to develop.