How we match
Too often, someone's social background determines their opportunities. Hatch is changing this with the way we match, levelling the playing field for early career applicants.
What is matching science?
Hatch's assessment and shortlisting methodology is designed and operated by trained organisational psychologists.
Data science is utilised to algorithmically select candidates and enable unbiased assessment of 100s of applications.
How we reduce bias
Humans where we're helpful and technology where we hinder
Anonymised & randomised
Applications are de-identified, broken apart and systematically reviewed in randomised order to reduce unconscious bias.
Demonstrated strengths
Applicants answer questions that demonstrate their skills, and are reviewed by trained assessors and organisational psychologists.
Algorithmic shortlisting
We use data science to shortlist candiates algorithmically, based on their demonstrated strengths, rather than relying on human judgement.
What we assess
Required skills
We use specific examples and role-plays to determine that candidates have the critical skills to do the job.
Transferable skills
From verbal communication, to problem solving, to multi-tasking, these skills underlie what it takes to be successful in the role.
Motivation and style
We get to know each candidate’s reasons for applying and what excites them about your company, team and the work.
Hatch fits into your hiring processes and saves hours spent screening candidates.
Want to know more? Watch a demo
