- Will the AI reject someone I should have seen?
- It never rejects anyone. It ranks the pile and attaches its reasoning; you decide who moves on. Applications it cannot assess confidently are ranked up rather than down, so they land in front of you instead of at the bottom. The only automatic rejections are the knockout rules you write yourself.
- How do I know a score is right?
- Every criterion is quoted back to the sentence it came from in the résumé or the application answers. A claim that is not in the application does not lift the score. Open the application next to the breakdown and you can check it in a few seconds.
- Half the applications are written with AI now. Does the scoring still work?
- A well-written application still has to say something specific about your criteria. Reqcore scores what is actually claimed and shows you the line it scored, so a fluent answer with nothing behind it reads as exactly that.
- Do you charge more when more people apply?
- No. Applicants are unlimited on every plan, including the free one. You are priced on how many roles you have open, so 300 applicants and 30,000 applicants cost the same.
- When do I actually start paying?
- The free plan runs one active role with 50 AI shortlist runs, no card and no countdown. That is enough to rank a real pile and see whether the ranking holds up. Paid plans start at $79 a month, for when you open a second role or want unlimited scoring.
- We only hire a few times a year.
- Then stay on the free plan and close the role once the hire is done. Only open roles count against the limit, so a closed one does not hold your slot, and the candidates stay in the account for the next opening.
- Do we have to move off the system we use today?
- No. Post one role in Reqcore, bring the candidates you already have across in one CSV upload, and leave the rest where it is. There is no migration project and nothing to install.
- How many seats do we get?
- All of them. Paid plans are priced per active role, not per user, so every recruiter and hiring manager who reviews candidates can log in, comment and move people through the pipeline.
- What happens to the data if we leave?
- It stays yours the whole time. Models are never trained on it, you set how long it lives, and any candidate exports as JSON with their applications, interviews and scores. You can cancel from billing settings whenever you want.