Sammi-Select Research

As part of our on-going commitment to quality and fairness, we undertake continuous assessment of anonymised data from candidates using Sammi.

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Research Evidence

We evaluate candidates at volume but also undertake detailed analysis of random samples. Our data shows interview outcomes do not show major bias toward or against any identified group including gender, nationality, and disability. We found performance was consistently fair across all groups, with rewarding signals of enhanced fairness and very good/excellent reliability.

User surveys have consistently demonstrated both assessors and candidates rated the platform highly for convenience and usability.

Science-based technology

SAMMI® is grounded in the proven scientific interview methodology, Multiple Mini-Interviews (MMIs). Co-created with diverse users, SAMMI® integrates insights on inclusive language and uses an interface that softens the interaction between humans and technology for maximum performance.


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