What sets SkillCort apart

14 authoring formats

From MCQ with partial credit to coding, file uploads, webcam photo capture, and audio or video responses.

Scenario pages

A shared case brief stays pinned beside its questions — split-screen for candidates, testlet-aware shuffling for integrity.

Randomized pools & shuffling

Show N of M items per candidate with seeded draws; shuffle sections, pages, blocks, and answer options independently.

Spreadsheet-grade tables

Fill-in-table items with merged cells, pre-filled 'given' cells, and asked headers — graded cell by cell with partial credit.

AI drafting with your voice

Generate items from a prompt you can dictate out loud; a reusable bank with folders, tags, CSV import for supported item formats, and item analytics underneath.

Personalized instructions

Merge tags ({{candidate_name}}, {{expiry_date}}…) render each candidate their own brief — injection-safe by construction.

Five ways in

A public link, a unique per-candidate invitation link, a short access code, guest-list matching on one or two identifiers, or sign-in for your own organization members.

Ask nothing, or exactly what you need

A link with no access form starts the assessment immediately; add fields and candidates register with the details you asked for, kept on their record.

Attempt rules per delivery

How many attempts count, whether an interrupted session resumes, how long an attempt may stay open, and what a candidate meets when they return after finishing.

Retakes & extra time, one candidate at a time

Grant a retake to the person whose power cut ended their session, or extended time up to 3× as an accommodation — the cohort's rule stays exactly as it was.

Windows, expiry and caps

Open and close dates, an expiring public link, and a registration limit; candidates who arrive early or late meet a designed screen, not an error.

Access log before the exam starts

Registrations, code entries, failed matches and denials are logged with their reason and outcome — filterable in the app, exportable as CSV.

AI-led interviews

Candidates answer spoken interview questions while the interviewer responds turn by turn in a structured session.

Role-play simulations

Put candidates into a guided case conversation so judgment, communication, and follow-through become observable.

Avatar or voice-only delivery

Choose a talking interviewer avatar or a voice-only presentation for each live interview or simulation.

Reviewable conversation record

Spoken responses are transcribed and kept with the session so evaluators can return to what the candidate actually said.

Disclosed before the session

Candidates see how AI and recording are used before they begin, alongside the capture settings for that assessment.

People score the outcome

AI conducts the configured conversation; evaluators apply the rubric and remain responsible for scores and decisions.

In-browser lockdown

Fullscreen, clipboard, print, second-display, and keyboard safeguards where supported by the browser — nothing for candidates to download. Sessions running in lockdown also carry an on-screen watermark with the candidate's identity and a live timestamp.

Honeytokens

A per-attempt marker can detect when protected question text returns inside an answer after leaving the exam — an exact round-trip signal, not proof of which tool was used.

Tamper-evident session log

Events are hash-chained in sequence; server-side re-verification reports the first detected break among the rows present.

Camera, screen & microphone

Photo or video capture with AI-assisted review that points a human reviewer at moments worth checking — AI never issues a verdict.

Behavioral signals

Large-paste detection, synthetic-typing dynamics, focus-loss correlation, VM detection, screen-share loss recovery.

Cohort analytics

Collusion signals across candidates — shared wrong answers and text similarity — plus a live monitor wall during sessions.

Human-in-the-loop by architecture

AI drafts, transcribes, flags, and suggests scores; a person reviews and decides. There is no automated candidate outcome.

Traceable AI surfaces

Registered generation surfaces record model and pinned prompt identity; live conversations keep a separate session-configuration ledger and transcript.

A public AI manifesto

What we build, what we refuse to build (no cross-client candidate memory, no hidden reputation scores), published for anyone to read.

Incident controls

Scoped incident controls block selected AI provider calls. Saved responses and non-AI work remain available; affected AI flows fail safely.

Candidate transparency

Before starting, candidates see configured capture controls and whether an AI-guided section is used; the public Trust Center publishes versioned governance statements.

Evaluator work queue

Every submission with its state — ready, in progress, ready to finalize, finalized — searchable, sortable, and built for teams.

Blind scoring

When enabled, written-work review replaces the candidate profile with a server-generated alias. Results and identity-bearing media remain outside that guarantee.

Rubrics + accountable AI suggestions

AI suggestions stay separate; evaluators apply a suggestion or enter their own criterion score. Changing a saved score requires a reason.

Finalization lock

Scores stay provisional until a human declares them final; the database itself refuses score writes on a finalized attempt.

Decision views with psychometrics

Decision and analytics views combine skill rollups and role fit with assessment-level alpha and ICC; blueprint evidence adds omega and group-disparity checks when enough data exists.

Organization branding studio

Organization logo, name, and accessible accent color across the candidate access and exam flow.

Per-assessment overrides

Campaign-specific logo, hero banner, page background, copy, and footer contacts — agencies can brand per client.

Custom email templates

Invitation and reminder emails with your subject, body, button, sender name, and merge variables — live preview included.

White-label reports

Candidate reports, answer sheets and response records carry your logo and name, not a vendor's.

Cohort & candidate reports

Item analytics (difficulty, distractors), reliability cards, per-candidate deep reports, plus an answer sheet and a full response record for every attempt, as PDF.

Audit pack

One JSON export with integrity status, event timeline, and a server-side hash-chain verification result for the rows present.

Evidence wallet

A per-candidate evidence file: outputs, scores, fit, integrity signals, and the decision — viewable and exportable as JSON.

Validation evidence

Blueprint-level reliability, observed criterion validity, and group-disparity checks when enough outcome and group data exists.

Open exports

CSV and Excel exports for candidates, scores, decisions and skills, and a results export you configure column by column.