Ideal for employers ready to break hiring bias and reach overlooked talent
700+
Hours of Interview Research
90
behavioural data points Collected
40K+
Matches Completed
Built with 200 employers including
How it works
Data Capture - Understanding Every Candidate Deeply
When a candidate joins urfuture, they complete a career-matching assessment built on behavioural science. It analyses their personality, core needs, motivators, and satisfaction drivers - capturing over 90 unique data points. This data forms the foundation of each profile, powering personalised career matches and ensuring employers connect with candidates who are understood beyond bias.
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Matching Analysis - Science Meets Smart Matching
Using behavioural science and machine learning, urfuture’s algorithm analyses every candidate across 18 career paths, 40 work-related traits, and live job opportunities. Each is scored out of 10 and visualised in clear, easy-to-read profiles for both candidates and employers based on research from current professionals - complete with insights and prompts that explain every match.
Outcomes - Clarity, Confidence & Diversity in Action
The result is transparent, evidence-based matching that builds clarity and confidence for both candidates and employers. Candidates discover careers and jobs they’d never have considered before - breaking traditional hiring bias and overcoming the lack of guidance that limits opportunity. For employers, this creates access to a broader, more diverse pool of motivated, better-fit talent.
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4 steps for smarter applications
Behavioural Science & Machine Learning powers most sectors & now careers.
Netflix
Uses these techniques to predict user preferences and recommend movies and shows. It also predicts whether a user will like or click on a specific piece of content.
Experian
Logistic regression is used in credit scoring models to predict the likelihood of a borrower defaulting on a loan.
Spotify
Spotify uses machine learning, logistic regression, and AI to personalise music recommendations, predict preferences, and create custom playlists.
