Ranked shortlist in minutes
Every applicant is parsed, scored against your criteria, and ranked automatically, so you open a prioritized list instead of an unsorted inbox.
A practical playbook for cutting first-pass review time, surfacing your best applicants sooner, and keeping evaluation consistent as volume grows.
To screen candidates faster, replace manual resume review with a structured, scored process: define your must-have criteria up front, let AI parse and rank every application against that rubric, run short structured interviews automatically, and review only the ranked shortlist. Criba does this end to end, so recruiters spend their time on the strongest candidates instead of reading every CV. Teams typically cut first-pass review from days to hours while keeping decisions consistent and explainable.
Most hiring delays do not come from interviews or offers, they come from the first pass. When hundreds of applications land in an inbox, someone has to read each one, form a quick judgment, and decide who moves forward. That work is slow, easy to rush, and inconsistent from reviewer to reviewer. The fastest way to speed up screening is not to read faster, it is to stop reading everything manually. By defining your criteria once and applying them automatically to every applicant, you turn a multi-day backlog into a ranked shortlist you can act on the same day, without sacrificing the quality of your decisions.
Every applicant is parsed, scored against your criteria, and ranked automatically, so you open a prioritized list instead of an unsorted inbox.
Speed comes from automation, not shortcuts. Every candidate is measured against the same rubric, so faster screening is also more consistent.
Criba runs short, consistent interviews with each candidate so you get more signal than a resume without scheduling a single call.
Each ranking comes with the reasoning behind it, so you can trust the shortlist and justify decisions to hiring managers.
Recruiters stop reading unqualified applications and spend their time on conversations that actually move roles forward.
A sudden surge of applicants no longer slows you down, because the first pass runs the same way whether you get ten or ten thousand.
Define your must-have criteria
List the skills, experience, and competencies a candidate genuinely needs. Clear criteria make automated scoring accurate and the whole pipeline faster.
Let AI parse and score every application
Instead of reading each CV, have Criba extract the relevant details and score every applicant against your rubric in one pass.
Run structured AI interviews automatically
Invite candidates to a short, consistent interview that captures answers and adds depth beyond the resume, with no scheduling required.
Review only the ranked shortlist
Open the prioritized list, read the reasoning behind the top scores, and move your strongest candidates forward the same day.
Apply the same criteria to everyone automatically. When every applicant is scored against one rubric, strong candidates rise to the top instead of being missed in a rushed manual pass, so you move faster and catch more good people.
No. The speed comes from automating the repetitive first pass, not from skipping evaluation. Because every candidate is measured the same way, automated screening is usually more consistent than manual review, not less.
Teams commonly move first-pass review from days to hours. The exact saving depends on volume, but the biggest gains come from no longer reading unqualified applications one by one.
Yes. Criba ranks and explains, but you set the criteria and make the final call. The shortlist is a starting point you stay fully in control of.
Especially well. High-volume roles are where manual screening breaks down, and where automated, consistent first-pass scoring saves the most time.