Federal Structured Interview Software for Government Hiring

Federal structured interview software is software that enforces the three things OPM already asks of a federal interview: every candidate gets the same predetermined questions in the same order, every answer is rated on the same scale against the same standards for acceptable answers, and the whole thing leaves a record you can produce later. Most general hiring tools will do the first. Far fewer enforce the second. The one that decides your procurement is the third, because in federal and public sector hiring the record is the deliverable.

Government hiring has an unusual property: the interview is not just a decision, it is evidence. A private employer who runs a sloppy panel loses a good candidate. A federal agency or a public sector employer who runs a sloppy panel can be asked, months later and in writing, to explain how a rating was reached. That single difference should drive which tool you buy, and it is the reason a general-purpose video interviewing product often disappoints a public sector buyer who bought it on price.

This is a buying guide for that specific situation. What OPM actually says, what the software has to do to satisfy it, what to verify during procurement rather than take on trust, and where AI belongs in the process and where it does not.

What counts as a structured interview under OPM guidance?

OPM's published guidance on structured interviews is short and unusually concrete. Reading it on September 3, 2026, two sentences carry most of the weight. The first: "All candidates are asked the same predetermined questions in the same order." The second: "All responses are evaluated using the same rating scale and standards for acceptable answers." OPM frames the purpose plainly, saying structured interviews "ensure candidates have equal opportunities to provide information and are assessed accurately and consistently."

Notice what that rules out. A panel that improvises a follow-up for one candidate and not another has broken the first rule. A panel where one rater privately runs a tougher scale than the other two has broken the second. Both are ordinary human behavior, both happen constantly, and neither is visible in a recording unless somebody is specifically looking for it. That is the gap software is supposed to close.

It also tells you what "structured" is not. It is not a question bank, and it is not a video recording. A question bank without an enforced order and a shared rating scale is a suggestion. This is the same standard we apply on our main structured interview software page, and it is worth holding vendors to it in a demo.

What should federal structured interview software do?

Five capabilities, in descending order of how often buyers discover they needed them after signing.

The last row is the one most buyers skip and most regret. Interview records are only useful if somebody can find a specific one under time pressure, often long after the hiring manager who ran the panel has moved on. Agencies that keep those records scattered across a video platform, a shared drive and three inboxes end up needing a way to search across every internal system at once just to answer a single question about one candidate from two years ago. Getting the export format right at purchase is much cheaper than solving retrieval later.

Can federal agencies use AI to conduct interviews?

Carefully, at one stage, and with the decision left to a human. The defensible use is the first-round screen, where the job is to establish facts and gather comparable answers to a fixed question set. That stage is repetitive, it is where consistency is easiest to lose, and it is where an automated process genuinely outperforms a tired panel on the fifteenth candidate of the week.

The indefensible use is letting a model decide who advances. Keep the software in the position of producing evidence and ranking, and keep the advancement decision with a named person. That boundary is not just good practice. Automated tools that substantially assist or replace a discretionary employment decision fall under a growing set of US rules, including New York City's Local Law 144, whose bias audit and notice duties follow the location of the job rather than your headquarters. Illinois amended its Human Rights Act effective January 1, 2026 to name zip code as an impermissible proxy, and Illinois already required notice, explanation and consent for AI video interview analysis. We track the current state of these rules in AI interview laws by state and the general obligations on AI hiring compliance.

One more practical point specific to public sector hiring: recording consent is a separate obligation from any AI rule. Roughly a dozen states require all-party consent to record a call, and that duty follows the candidate's location, not yours. If you hire across state lines, which most agencies and contractors do, build the consent language into the opening of every screen rather than trying to manage it case by case.

How long do federal agencies keep interview records?

Longer than most buyers assume, and longer than some tools retain by default. The federal floor for applications and interview records is one year. Many federal contractors are held to two. California requires four for employers in scope there, which matters to any multi-state contractor. Where the periods overlap, the longest one governs in practice, so a contractor hiring in several states should plan around the longest applicable period rather than the federal minimum.

Two implications for the purchase. First, confirm that retention is configurable per record type and that the vendor's default is not shorter than your obligation. Second, confirm what the record actually contains: a video file is not an interview record if the scores and the reasoning behind them live somewhere else. We go through the periods in more detail in how long to keep interview records.

What should you verify before you buy?

Public sector procurement asks questions commercial buyers do not, and vendors vary enormously on the answers. Do not accept a sales sheet on any of these. Ask for documentation.

The bias audit row deserves emphasis because it is routinely misunderstood as a New York City problem. The duty attaches to the job location, so an agency or contractor filling a position in New York City inherits it regardless of where the agency sits. A December 2025 New York State Comptroller audit of the city agency enforcing that law found at least seventeen potential violations among companies the agency had itself reviewed and cleared, which is a fair indication that vendor assurances alone are thin cover.

Where an AI interviewer fits, honestly

If your problem is that panels are inconsistent, the fix is anchored scales and enforced question order, and you may not need AI at all. If your problem is that the first round eats weeks of staff time before a panel ever convenes, then conducting that first round automatically is the thing that saves the time, and everything downstream stays human.

That is the product we build, so weigh this accordingly and test the claim rather than accepting it. InterviewAgent.ai conducts the first-round screen with the same predetermined questions for every applicant, follows up when an answer is thin, scores each answer against anchors you write and control, and returns a ranked shortlist with transcripts attached to the scores. It advances candidates to human review and never rejects anyone on its own. The scoring mechanics are on interview scorecard software, and the published price is on AI interview software pricing, which is more than most vendors in this category will tell you before a discovery call.

Whatever you choose, buy for the record as much as the interview. In government hiring, the tool that cannot produce a clean, attributable, exportable account of how a rating was reached has not finished the job, however good the video looks.