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Video Interview Platform

Video interviews should reveal who a candidate really is, not how well-connected their school was, or how convincingly AI can write their answers.

Scoring each candidate against their own natural communication baseline removes the structural advantage that accents, coaching access and social capital would otherwise confer. That is a design decision, not a compliance patch.

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Features

Strengths-based question design

We work with employers to design structured video interview questions built around the specific strengths the role requires. Role-specific rubrics set before any candidate completes.

A video interview is only as good as the questions. Generic questions produce generic answers.

Individual calibration model

Every candidate answers an open question about their interests outside work before substantive questions begin. This establishes their personal communication baseline. Substantive responses are then scored against that individual baseline, not a population norm.

A candidate who communicates differently from a hypothetical average is not flagged. Preparation cannot game a baseline the candidate themselves established.

Authenticity Score

Composite indicator comparing substantive responses against the candidate’s own baseline. Assesses pace deviation, tonal consistency, language naturalness and answer structure. Advisory input to recruiter judgement, not a replacement for it.

Surfaces genuine engagement rather than practised performance. Candidates from different backgrounds are not penalised.

Live bias monitoring

Real-time dashboard tracking scoring patterns across the review team. Statistical anomalies flagged before they become decisions.

Bias is caught before it compounds. The audit trail meets ICO and DSIT requirements.

AI-generated transcripts and structured scoring

Every response transcribed automatically. Reviewers score against the role-specific rubric. Full audit trail.

Consistency across reviewers, geographies and volume. Every decision is documentable.