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Job Description Health Checker
Bias, clarity, requirements bloat, and screening criteria in one free JD check. Paste a job description and see the wording that quietly shrinks your applicant pool, plus the requirements that make screening messy. It runs entirely in your browser; nothing is uploaded.
100% private — analysis runs in your browser, nothing is sent to a server.
Example output
Start typing or hit “Try a sample” — flagged wording appears here with a fix for each, live.
What it checks
- Masculine-coded — words like “aggressive,” “competitive,” and “dominant” that research links to a less inclusive applicant pool.
- Feminine-coded — words like “collaborative” and “supportive.” Not bad in themselves — the goal is balance against the masculine-coded count.
- Age-coded — “recent graduate,” “digital native,” “young.” These can signal an age preference and carry legal risk.
- Exclusionary / jargon — “rockstar,” “ninja,” “culture fit.” Vague, off-putting, and easy to replace with the real responsibility.
- Clarity and requirements — missing salary/location signals, long sentences, requirement overload, years-of-experience gates, degree gates, and tool-list bloat.
Why biased wording costs you candidates
The words in a job post change who applies. Masculine-coded listings make many qualified women perceive a role as a worse fit and apply less — the core finding of Gaucher, Friesen & Kay (2011) — narrowing your pool before screening even begins. Age-coded and exclusionary phrasing does the same — and adds legal exposure. Fixing the language costs nothing and changes none of your actual requirements; it just stops turning away people who could do the job.
Frequently asked questions
How does the analysis work?
It scans your text in real time against deterministic rule sets: a curated, research-backed dictionary of gender-coded (Gaucher, Friesen & Kay, 2011), age-coded, and exclusionary terms; clarity checks; requirements-bloat checks; and simple screening-criteria extraction. It all runs instantly in your browser, with nothing sent to a server.
Is this job description bias checker free?
Yes — completely free, no signup, and no limits. The entire analysis runs in your browser, so there's nothing to pay for and nothing to upload.
Is my job description sent anywhere?
No. The checker runs entirely client-side in your browser. Your text is never transmitted to a server, stored, or logged — close the tab and it's gone.
What kinds of bias does it detect?
It flags masculine- and feminine-coded wording (based on the gendered-wording research of Gaucher, Friesen & Kay), age-coded phrasing like 'recent graduate' or 'digital native', exclusionary jargon like 'rockstar' or 'culture fit', missing clarity signals, and bloated requirement lists. For each wording flag it suggests a more neutral alternative.
Does balanced wording really change who applies?
Research has found that masculine-coded job listings make many women perceive a role as less appealing and a worse fit, shrinking and skewing the applicant pool. Balancing the language widens the pool without changing the actual requirements.
Is this legal advice?
No. This is a heuristic writing aid, not legal advice. Age-coded language in particular can carry real compliance risk — consult an employment lawyer for anything you're unsure about.
Once the JD is clean, screen the applicants the same way.
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