--- title: "Pre-Employment Assessment Platform for Hiring at Scale" description: "Screen candidates at scale with role-based assessment sets, AI proctoring, and instant shortlists. BPO, banking, campus, and lateral hiring — pay per candidate assessed, not per seat." canonical: https://www.assessall.com/solutions/hiring source: AssessAll --- # Screen thousands. Shortlist the right ones. Same day. AssessAll for hiring is a pre-employment assessment platform recruiters use to screen candidates at scale with role-specific assessment sets, AI proctoring, and instant, comparable scores. From BPO voice-and-language screening to graduate campus drives and leadership hires, you pay per candidate assessed — never per seat or per month. ## What goes wrong today - **Volume without signal** — Thousands of applications, no way to compare them. Standardised assessment sets give every candidate the same fair, measurable bar. - **Cheating in remote assessment** — AI proctoring with ID baseline, face detection, and screen-monitoring keeps remote screening trustworthy. - **Slow shortlists lose candidates** — Scores, integrity bands, and ranked shortlists are available the moment a candidate submits. - **"Percentile" is the most misread number on any screening report** — On an AssessAll hiring drive the percentile is a cohort percentile — the share of scored candidates in that same drive at or below this one, using the standard percent-at-or-below definition. It is not a national norm, an industry norm or a comparison against last year's intake, and it moves as your own pool changes. Saying so plainly matters: a hiring manager who thinks 78th percentile means "better than 78% of Indian graduates" is making a different decision from the one the number supports. - **One number from five tests, and nobody asks what each one contributed** — A multi-module sitting returns a composite, and on this platform the composite is a weighted average of each module's percentage with the weight defaulting to 1.0 — equal per module, whatever its length. Put a 30-item accuracy module and a 16-item judgement module in the same set at the default and each item in the shorter one moves the composite 1.875 times as far. That is a decision somebody made by not making it. Set the weights, write them down, and publish them to the panel that reads the scores. - **A screen nobody audits becomes a superstition with a dashboard** — Cut scores are usually chosen in week one and never revisited. Six months in, line every score you collected up against who is still on the floor and move the bar where the evidence says — including down. Re-cutting the bar against real outcomes is the cheapest improvement available to any hiring team, and almost nobody does it. ## What AssessAll does - **Role-based assessment sets** — Combine cognitive, language, behavioural, and domain tests into one sitting matched to the job description. - **Hiring drives & campaign links** — One shareable link per drive; candidates self-register, take the assessment set, and land ranked in your dashboard. - **Voice & language screening** — Spoken-English and communication assessments with AI speech scoring — built for BPO and customer-facing roles. - **AI proctoring & integrity bands** — Every attempt carries a High/Medium/Low integrity rating with the evidence behind it. - **Instant comparable scoring** — Percentiles, pass thresholds, and competency breakdowns computed the moment a candidate finishes. - **Candidate-friendly experience** — Mobile-ready, resumable, low-bandwidth-tolerant assessments that don't scare good candidates away. - **Adverse-impact monitoring, opt-in and aggregates-only** — Where candidates volunteer demographic bands, the platform computes selection rates by group and flags any group whose selection rate falls below four-fifths of the highest group's rate. Groups smaller than five are shown but excluded from flagging, because a rate computed on three people is noise. To be exact about what this is not: it is a monitoring signal for your own review, not an independent bias audit, and it is not a New York City Local Law 144 audit. - **Explainable scores on the candidate report** — A "How this level was decided" block on each report: which responses moved the band, which thresholds were crossed, and where the result sat relative to the cut — so a rejection you have to justify is one you can actually explain. - **Screening over the API** — Assessment API v1 provisions a candidate and returns a no-login take link, then pushes signed webhooks — sitting.started, sitting.scored, credential.issued — to your own system as each candidate moves. There is no pre-built ATS connector; there is a documented API with an OpenAPI 3.1 description at /api/v1/openapi.json and a reference at /developers. ## Use cases - BPO / contact-centre voice and language screening - Graduate and campus hiring drives - Banking & financial-services aptitude assessment sets - Lateral hiring with role-specific skill checks - Staffing-agency candidate benchmarking - Walk-in drive assessment on tablets or phones --- Source: https://www.assessall.com/solutions/hiring