Shortlist the Applied way:

data-driven

and

skills-based

We're sharing our methodology because we want to help usher in a collective world where hiring is more ethical and efficient.

A reckoning for the resume is here

Resumes use flawed signifiers such as education and years of experience. They are poor indicators of someone's true ability to do a job and are open to bias.

Applied’s shortlisting technology uses skills-based questions to help you identify the best candidates, relying on data and insights over gut instincts.

The perfect method to shortlist

You can try some of these steps yourself, or speak to us about how our platform can do it all for you!

STEP 1

Anonymize

Basic personal information such as name, age, race and gender can trigger a reviewer’s unconscious bias. We remove these signifiers so you're only assessing whether a candidate is the best fit for the job by their answers.

STEP 2

Chunk

Chunking means breaking the application into pieces and grouping answers to the same question together. This prevents confirmation bias

As humans, we often look for information that confirms our existing beliefs, this is known as confirmation bias.

Believing a candidate has made a great point because they've studied at a top university? Confirmation bias.

and allows reviewers to assess answers faster.

STEP 3

Randomize

Each member of the hiring team will see candidate answers in a different order to ensure the ordering effects

Order effects happen when we make several judgements one after the other. When hiring, we usually make kinder judgements early on and get progressively harsher as we continue, meaning somebody at the bottom of a CV pile has to be extra special to stand out.

don’t impact a candidate’s overall score.
A mobile phone showing an answer to a job application question

STEP 4

Review

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.

STEP 5

Collate

Our intuitive platform automatically collates reviewers’ scores. They are combined into a leaderboard, rich with data and analytics, that clearly shows the best candidates.

some data showing how people have performed in a job interview
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