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The posting

What employers write in a job ad, and what they mean

What goes wrong when a job ad is jargon and tone, and how Jobtiv's decoder splits must-haves, nice-to-haves, red flags, and a jargon glossary from the text you paste.

Open Job ad decoder

"Stakeholder management" is doing too much work

A posting can require SQL, a dashboard, and a join that used to break, and still spend 600 words on "fast-paced", "self-starter", and "comfortable with ambiguity". Readers then tailor a resume to the adjectives, which is how a data analyst applies to a role that was actually a business-partner seat with no warehouse access.

The other failure is treating every bullet as a must-have. Employers pad. "Nice to have Tableau" is not "reject without Tableau". Without a split, you either bounce off a padded list or you spend a weekend inventing Tableau.

Paste the ad. Get the split the ad refused to give you.

You paste the posting (50 to 20,000 characters). The decoder returns a plain summary, must-haves, nice-to-haves, red flags, a jargon glossary (term and what it is being used to mean), a culture read, and a verdict: worth a look, some concerns, or probably not for you. On a detailed posting it can split the text with rules first; a thin posting stays thin.

The glossary is the part a neighboring page does not have. "Agile" in one ad means a daily stand-up. In another it means you will not get a spec. The decoder is naming that difference in the text you pasted, not scoring you as a person.

  1. Paste the full posting, not the three-line teaser.
  2. Read must-haves against your profile, not against your hopes.
  3. Use the glossary when a term is doing social work rather than describing a task.
  4. If the verdict is "probably not for you", the reason is in the same result — not a vibe.

What Naledi Ashworth is decoding

This is a fictional example CV, written to show the template. It is not a real person.

Naledi Ashworth, Data Analyst, Newcastle. Fictional. Used here as Naledi.

Naledi Ashworth is a fictional data analyst in Newcastle. Two ads both say "data-driven". One means SQL, one dashboard, and the join that used to break — work she has already written as bullets. The other means standing in for a missing product owner.

The decoder is how those two stop looking identical. It will not apply. It will not rewrite her resume; Studio does that after she knows which ad she is actually answering.

When the decoder will not help

A 40-word ad with no duties will produce a thin result. The tool is not a background check, a Glassdoor substitute, or a salary. Red flags are readings of the text, not proof the employer is bad. And a "worth a look" verdict is not a prediction about an offer.

Questions

Does the decoder apply to the job?
No. It reads the posting you pasted. You still decide whether to apply, and you still apply yourself.
What is the jargon glossary?
Pairs of "what they wrote" and "what that usually means in this posting", taken from the text, not from a universal dictionary of corporate speech.
Can it decode a screenshot?
No. Paste text. A picture of an ad is not a posting the parser can split.