Policy

Ask on a Separate Voluntary Form the Decision-Makers Never See

In the US you can ask candidates their race and gender, and the design is what makes the answer both lawful and usable: a voluntary invitation, separate from the application, that nobody evaluating the candidate can see. The EEOC names the tear-off sheet as the mechanism that keeps race-related information out of the qualification decision. You may measure with the answers. You may not select with them.

The takeRecruiting folklore says you cannot ask, and it is wrong in a way that costs the thing it was protecting. The risk it imagines, that collecting the category leads to using it, is real, and it is handled by where the data sits rather than by refusing to collect it. Meanwhile the actual failure is mundane and everywhere: a demographic block pasted into the application form, on the screen the recruiter reads, three fields below the work history. Open your own form as a candidate this week.

Where Olive fits

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Under the automated-decision rules a number with nothing attached to it explains nothing, which is why Olive produces no composite at all: a person writes each of the six findings, every finding carries the excerpt it rests on, and a released report exports with its rubric, scorer and bank versions attached. The candidate is granted that same report, free, on every tier.

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Can you legally ask a candidate's race and gender?

Yes, under US federal law, with conditions attached to purpose and separation. The EEOC's stated position is that pre-employment requests for information are assumed to form the basis for hiring decisions, so an employer should not request information that discloses or tends to disclose race without a legitimate business need, and tracking applicant flow is named as such a need 1. The 1978 federal selection guidelines expect those records to exist in the first place 2.

The agency also names the mechanism. Where an employer legitimately needs the information, it "may obtain the necessary information and simultaneously guard against discriminatory selection by using a mechanism, such as 'tear-off' sheets," which separates the race-related information from the information used to decide whether a person is qualified 1. The paper metaphor has outlived the paper, and it still describes exactly what a well-built form does. The same guidance adds a rail worth writing into your process: asking for race-related information on the telephone "could probably never be justified" 1. So it does not belong in a recruiter screen, a scheduling call, or a chatty intro round.

On the recordkeeping side, the Uniform Guidelines on Employee Selection Procedures say each user should maintain and have available records disclosing the impact of its tests and other selection procedures on employment opportunities by identifiable race, sex or ethnic group, and should adopt safeguards to ensure those records are used for appropriate purposes such as determining adverse impact and are not used improperly 2. Two duties in one section: collect it, and fence it.

State law adds requirements this article does not cover, and the design of the analysis itself is a conversation to have with counsel before it runs rather than after it produces something. Race and sex are the unusual case, asked for a purpose the agency itself names as legitimate. Which questions are actually illegal, and what replaces them applies the same qualification test to everything else the form asks. What follows is the mechanics, which are the part nobody writes down.

Where does the answer have to sit relative to the decision?

Outside every record a decision-maker reads. That is the whole constraint, and the other design choices follow from it: a separate form or step, storage keyed so the answer can be joined for aggregate analysis and never surfaced on a candidate profile, access limited to whoever runs that analysis, and no integration that syncs the value back into the hiring system as a field somebody can sort on.

What to check, in the order it usually breaks:

  • The screen. Is the demographic block on the same page as the work history, or on its own step after submission?
  • The candidate record. Does the answer appear anywhere on the profile a recruiter or hiring manager opens?
  • Exports and reports. Does the answer travel in the CSV somebody pulls to build a shortlist?
  • Access. Who can query the table, and is that list shorter than the list of people who make decisions?
  • Retention. Is the answer kept as long as the analysis needs and no longer than the policy says?

Monday's work is one task: open your own application as a candidate, on a phone, and find out where the fields sit. Same-screen placement is the common default rather than a mistake somebody made, because it is what most application builders ship. Finding it is not a scandal, and fixing it is a configuration change plus a conversation about who has access.

Disability sits under a different rule and does not travel with race and sex. The Americans with Disabilities Act, enacted in 1990, bars an employer from asking a job applicant whether they have a disability, or about its nature or severity, before a conditional offer, while allowing questions about the ability to perform job-related functions 4. Voluntary self-identification for federal contractors runs under a separate regime with its own form. The practical consequence for an assessment is that the accommodation route has to work without anyone naming a diagnosis, which is how to offer accommodations without forcing disclosure.

Say what the data is for, and count the declines

One sentence of purpose, and decline-to-answer as a visible option you count as a category. An ornate explanation reads as a pretext and depresses the response rate the whole measurement depends on. A blank and a decline are different facts about a candidate, and a form that cannot tell them apart has thrown away the only evidence you had about who chose not to answer.

Wording that works, roughly: this is voluntary, it is not shown to anyone involved in hiring decisions, it is used only to check whether stages of the process are treating groups differently, and declining has no effect on the application. Wording that does not work: a paragraph about values, a link to a policy PDF, or a sentence promising the data helps the company build a better workforce. The first tells a candidate what happens to their answer. The second asks them to trust a stranger.

The cost of getting this wrong shows up downstream in other people's published work. Researchers collected every bias audit they could find published under New York City's Local Law 144 between July 2023 and early November 2024, and across the 116 audits in that sample, 83% reported missing race and/or sex information for some of the applicants the tool evaluated, several of them for far more applicants than they had data on 5. That gap is largely applicants declining to self-identify, which is precisely the point: the design of the invitation decides whether the measurement can exist at all. What to do with the missing rows is a separate question with a real answer, in reading an impact ratio next to its response rate.

Which report needs which population?

The annual headcount report counts employees; an impact analysis counts applicants and what each selection procedure did to them, and one table cannot produce both. Under 29 CFR 1602.7, every employer subject to Title VII with 100 or more employees files Standard Form 100, the EEO-1 3, and the EEOC runs it as a mandatory annual collection reaching certain federal contractors at 50 or more employees as well, on a filing window the agency announces each cycle 6.

The categories overlap, which is the source of the confusion. The selection guidelines say their race, sex and ethnic classifications are consistent with the EEO-1 series 2, so the same field labels serve both. Everything else differs: the population, when it is collected, how long it is held, who may read it, and what a difference in it would mean. A headcount report says who works here. An impact analysis says what your process did to the people who applied, which is the only one of the two that can tell you a gate is broken.

One more trap sits in the middle. A report of workforce composition is often produced to answer a fairness question, and it cannot: composition reflects years of hiring, attrition, promotion and the applicant pool itself, and a stage-level difference can be invisible inside it. The guidelines set an enforcement default worth knowing before the analysis is scoped: where the total selection process shows no adverse impact, federal enforcement agencies in usual circumstances will not expect a user to evaluate the individual components, and where the total does show impact, the components should be evaluated 2. If the question is whether a particular screen is cutting one group harder, the answer lives in a per-gate selection rate with the right denominator, and when a vendor holds the data, in what to demand for an adverse impact audit of a screening tool.

So the deliverable from this article is not a form. It is a map of three things: where the answer is captured, where it is stored, and which report each copy feeds. Write that down once and the compliance question and the measurement question stop being the same conversation.

Read the evidence

Common questions

Can the demographic question be mandatory?

It should not be. The whole design rests on the answer being voluntary and separated from the decision, and a required field converts an invitation into a condition of applying. It also damages the data: compelled answers include answers people did not want to give, and the resulting number is no more trustworthy than the gap it replaced. Make declining a visible option, count it as a category, and if the response rate is too low to work with, fix the placement and the purpose sentence rather than the requirement.

Can a hiring manager ever see the answers?

Not for a candidate they are evaluating, and not for their own open requisitions. Aggregate results for a closed process are a different matter and are usually the point of collecting it. The line to hold is between a number describing a stage and a value attached to a person: the first can go to anyone who needs it, the second goes to whoever runs the analysis and nobody else. If your system cannot enforce that separation, that is the finding to escalate, ahead of any ratio.

What do you do with candidates who decline?

Count them. A decline is data about the process, and dropping those rows silently assumes the people who declined resemble the people who answered. Keep declines as their own category, report how many there were at each stage, and test whether a conclusion survives with the unknowns assigned each way. Treating declines as missing rather than as a category is the single most common way an otherwise careful analysis reports an artifact as a finding.

Can you infer race or gender instead of asking?

Inference from names, photographs or addresses substitutes a guess for a fact, and the guess is wrong in patterned rather than random ways, so the errors do not cancel. It also creates a record of the employer assigning a protected characteristic to a person who never disclosed one, which is a worse artifact to hold than a low response rate. Ask, keep the answer separate, and report how many people answered. That is a smaller problem with a known size.

Does an EEO-1 filing satisfy the analysis?

No. The EEO-1 is an annual count of employees by category, filed by employers over a size threshold. It says nothing about applicants, nothing about what happened at any stage, and nothing about whether a screen removed one group at a different rate. Two organizations with identical EEO-1 reports can run processes that behave completely differently. The filing is a reporting obligation; the stage analysis is the thing that would actually tell you something, and it has to be built separately.

References

  1. 1. Pre-Employment Inquiries and Race U.S. Equal Employment Opportunity Commission, 2026. eeoc.gov Supports the claim that an employer with a legitimate need such as applicant-flow tracking may collect race information using a separating mechanism such as tear-off sheets, and the statement that asking for race-related information by telephone could probably never be justified.
  2. 2. 29 CFR 1607.4 - Information on impact (Uniform Guidelines on Employee Selection Procedures, 1978) Code of Federal Regulations, via Cornell Legal Information Institute, 1978. law.cornell.edu Supports the recordkeeping expectation in 4(A), the safeguards clause against improper use, the statement in 4(B) that the race, sex and ethnic classifications used are consistent with the EEO-1 series, and the 4(C) bottom-line default on when federal enforcement agencies expect individual components to be evaluated.
  3. 3. 29 CFR 1602.7 - Requirement for filing of report (Employer Information Report EEO-1), as amended 1991 Code of Federal Regulations, via Cornell Legal Information Institute, 1991. law.cornell.edu Supports the claim that the EEO-1 is an annual employee-count filing: 29 CFR 1602.7 requires every employer subject to Title VII with 100 or more employees to file Standard Form 100.
  4. 4. 42 U.S.C. 12112 - Discrimination Office of the Law Revision Counsel, United States Code (prelim), 1990. uscode.house.gov Supports the claim that pre-offer inquiries about whether an applicant has a disability, or its nature or severity, are barred, while questions about ability to perform job-related functions are allowed.
  5. 5. Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144's Bias Audits Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT '25); Gerchick, Encarnacion, Tanigawa-Lau, Armstrong, Gutierrez and Metaxa, 2025. facctconference.org Supports the claim that 83% of the 116 published Local Law 144 audits collected between July 2023 and early November 2024 reported missing race and/or sex information for some applicants, with several missing data for more applicants than they had data on.
  6. 6. EEO Data Collections U.S. Equal Employment Opportunity Commission, 2026. eeoc.gov Supports the claim that the EEO-1 Component 1 report is a mandatory annual collection reaching private employers with 100 or more employees and certain federal contractors with 50 or more meeting certain criteria, on a filing window the EEOC announces each cycle.

6 sources, numbered by first appearance. How Olive sources claims

General guidance, not legal advice. Hiring rules differ by state and country and change often; check anything here against your own counsel before you act on it.

Olive assesses how a person works with AI. It does not detect AI-written documents, and it never produces a score, a ranking, or a match percentage for a person. Candidates read the same report the employer reads.

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