Control over anonymisation
Anonymise candidate responses so that you focus on the quality of their answers.
Evaluate Essential Job Skills with 'Sift'
At the heart of our recruitment process is the Applied 'Sift,' the most reliable method for predicting how well a candidate will perform in a role.
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How Does The Applied 'Sift' Work?
Through scenario-based questions, candidates undergo an objective assessment focused on key skills and values. This method provides hiring teams with valuable insights into candidates' thought processes, alignment with role expectations, and unique working styles. All crucial indicators of their potential performance in a role.
Compare clearly with automated chunking
Focus on one specific skill at a time to reduce the cognitive overload of revieiwing the whole candidate profile at once.
In-build randomisation
Randomise the order of all candidate responses so no candidate is disproportionately advantaged by where they show up in the pile.
Harness internal wisdom with independent scoring
Score candidates independently with a panel of reviewers.
Collation for data driven decisions
Our platform then automatically collates reviewers’ scores and shows the average on your candidate leaderboard.
What Sets Apart the Applied 'Sift'?
‘Sift’ing is grounded in behavioral science principles. It is designed to minimise unconscious bias, allowing objective scoring based solely on candidates' abilities—stripped of irrelevant details or "noise."
With the Applied 'Sift,' your hiring process gains a deeper understanding, ensuring you select candidates based on how well they will perform in the role.
With the Applied 'Sift,' your hiring process gains a deeper understanding, ensuring you select candidates based on how well they will perform in the role.
3x as many suitable candidates for roles
66% reduction in time spent hiring
93% employee retention rate after one year (UK national average is 80%)