Want to screen candidates in the most predictive way possible? The Applied Sift was designed to remove bias and accurately predict job performance.
Book a demoApplied's Sift is a predictive pre-employment test that uses job simulation questions to test directly for the skills needed for the job, in the context they'll actually be used in.
Our applicant screening software was designed to identify genuine talent and uncover hidden talent.
Predictive
Reliably forecast job performance using a hiring process 3x more predictive than CVs.
Diversity-driven
Improve diversity by 3-4x by anonymising candidates and testing solely for skills.
Bias-free
An anonymous recruitment process, purpose-built to remove biases at every step.
Candidate-approved
Give candidates a fair chance to show off their skills and get a feel for the job.
Anonymise candidates and eliminate bias
Personal information such as name, race, gender and even education and experience history is removed so that recruiting teams hire based purely on the quality of candidates' answers - mitigating various forms of discrimination.
'Chunk' answers to streamline the review process
Chunking means breaking the application into pieces and grouping answers to the same question together. This prevents confirmation bias and allows reviewers to assess answers faster.
Randomise the order answers are reviewed in
Each member of the hiring team will see candidate answers in a different order to ensure the ordering effects don’t impact a candidate’s overall score.
Review against a scoring matrix
The hiring manager can decide which team members assess the candidates. Each reviewer sees one answer at a time and rates the quality between 1-5, against a marking guide.
Automatically collate and calculate scores
Our platform automatically collates reviewers’ scores and shows them on your candidate leaderboard. You can then measure the accuracy and diversity of your process via our reporting feature.
Hire the best person for the job, every time
Applied gives you an accurate measure of who is likely to perform should they get the jobs, so you can be confident you're hiring the best possible person for the role. You'll also be able able to send personalised, automated feedback to all candidates.
Need an ethical, data-fuelled process for guaranteeing quality hires? Find out how our recruitment software can give you the proven, accurate assessments you need to make measurably improve quality and diversity of hire.
Applied is the end-to-end platform for predictive, anonymous hiring. Reduce bias, automate your process and use science-backed, predictive assessments to test directly for the skills needed for the job.
Job description gender decoding
Fair, anonymous process
Predictive, skills-based assessments
Manual tasks automated
Numerical and cognitive tests
Applicant screening tools don't come more predictive than this... The Applied Sift replaces CVs, and cover letters with a behavioural science-based process that asks candidates to think as if they were already in the role. Why guess how someone would perform when you can simulate the job itself?
Applied ensures every candidate gets a fair shot, regardless of their background, as well as a genuine insight into what the job would be like. This is how we achieved our 9/10 average candidate experience rating.
Book a demoWant to see how our analytics suite actually works? You can test our how the feature works at your own pace via our hands-on, unguided tour...
Take our automated platform tour
Want 3x as many suitable candidates? Using proven, skills-based screening assessments will mean you only need to interview qualified candidates who have already proven they can do the job.
Born out of the UK Government’s Behavioural Insights Team, Applied is the all-in-one platform for fairer, more predictive hiring. Built on 100+ years of behavioural science, our platform is designed to reduce bias and accurately forecast job performance at every step of the process.
Mapped is ideal for high-volume roles - make fast and fair shortlisting decisions with all the data you'll need to prove your process is accurate and ethical.goals that you can track and quantify?