Skip to content
Subconscious

Test Your First Job Description Before You Post It

On this page

A founder making a first hire needs a job description that explains the work, essential qualifications, compensation, and company accurately. Test whether qualified candidates understand the role before posting; track qualified applications and hiring outcomes once it is live. A simulated reaction can help find unclear language, but cannot establish actual candidate matching.

Why job descriptions fail in predictable ways

The real issue isn't writing quality. It's a founder's-eye view standing in for the candidate's.

A founder writes what the company wants. A good candidate scans for what they will get. That gap explains most of the failure modes:

Review unclear requirements, compensation and company context before posting. Then monitor qualified applications for problems the review missed.

Why are the traditional fixes slow and hard to validate?

Choose a review method around the posting deadline and the evidence needed. Recruiter judgment, network feedback and a designed comparison answer different questions. Labor-market conditions for job seekers and employers keep shifting, so an untested assumption about what a candidate wants can go stale quickly (SHRM: State of the Labor Market).

MethodWhat it tells youMain limitation
Hire a recruiterMarket judgment from someone who places roles like this regularlyRetainer cost, plus a ramp period before the first candidate shows up
Ask your networkA handful of honest opinions from people who know youSmall sample, and friends rarely say the requirements list is scaring people off
Post it and iterate on real applicantsReal market signal, eventuallyThe bad signal (irrelevant volume, silence from the candidates you wanted) arrives after the posting is live
Run a controlled comparison against a target-candidate audienceA direct read on whether specific candidate segments would apply, and what stops themDoes not replace an interview, real applicant behavior, or compensation benchmarking data

How does a controlled comparison work?

Subconscious runs controlled experiments that compare job-description variants (the requirements list, the pay framing, the tone, the company pitch) against a precisely defined target-candidate segment, and measures which version changes stated interest and intent to apply. That isolates which specific change moves the segment's stated intent, not general impressions of a draft.

Hiring a first marketer aimed at a defined segment, say mid-career B2B SaaS marketers at a certain funding stage, gets tested against that segment, not a generic reader. Hiring a technical co-founder gets tested against senior engineers with startup experience.

A workflow for a first hire

  1. Write the job description you would have posted. Do not polish it first; the test should react to the real draft.
  2. Define the target-candidate segment. Years of experience, current company type and level, pay band, and what the segment is likely to weigh most.
  3. Test the first reaction. Present the draft as it would appear in a feed and capture initial response before asking anything else.
  4. Isolate the dealbreakers. What in the draft would stop this segment from applying is the single most useful question in the workflow.
  5. Test pay clarity. Keep legally required compensation disclosures in every variant. Compare compliant ways to present the range and total offer, and distinguish modeled interest from actual applications.
  6. Test the company pitch. The "about us" section is where strong candidates disengage. Compare variants of the pitch for what reads as compelling versus filler.
  7. Revise and re-test. Run the updated draft against a fresh sample of the same segment to confirm the change moved the result, rather than assuming it did.

What to watch for

The “we need everything” trap. Document why each essential requirement matters for the work. A reaction test can reveal confusing or intimidating wording; it cannot prove a requirement has no value for performance or fair selection.

The stage-obscurity problem. "Growing startup" reads differently from a specific, honest description of team size, funding stage, and how much ambiguity to expect. Specific framing keeps strong candidates in the funnel; vague framing loses them before they read the requirements.

The mission-money imbalance. Explain both the mission and the offer accurately. A modeled comparison can suggest which parts of the draft deserve a check with qualified candidates; it does not establish their actual application decisions.

What are the limitations of this approach?

A job-description comparison measures generated interest or intent under its configured task. It does not replace candidate interviews, observed applications, compensation benchmarking, or fair selection. Review the aggregate replication evidence and study approach, or scope a hiring-copy comparison. Track qualified applications after posting.

The job description is not the hire. It is the door. Use the pretest to identify wording to check with qualified candidates. Track qualified applications and hiring outcomes after posting.

Explain the work and essentials; Define the relevant candidate audience; Keep required pay disclosures; Compare clarity and modeled interest; Track qualified applications after posting
Review the job description before posting A pretest cannot establish hiring quality or replace fair candidate assessment.