New capability scores what candidates have owned and delivered, closing the gap that has kept CVs alive in corporate and leadership hiring
LONDON, 08 September 2026 — Sapia.ai, the AI-native hiring platform trusted by enterprises globally, launches experience scoring, a new capability that measures the depth, outcomes and job-relevance of the work a candidate describes and scores it separately from behavioural competencies.
Built into Sapia.ai's structured Chat Interview, experience scoring asks every candidate about the most consequential work they've been responsible for, then scores each answer against role-specific anchors: depth of ownership, the scale of outcomes they can credibly attribute to their own decisions, and how directly that experience transfers to the job at hand.
“The CV rewards whoever writes the best summary of their career, not whoever did the best work in it, and generative AI has made that easier to embellish and harder to catch. As our clients proved it, a fair, structured conversation beats pedigree every time. Professional and leadership hiring depends on experience, and until now, nobody had built a rigorous way to measure it. Experience scoring is that missing piece,” says Barb Hyman, CEO and Founder, Sapia.ai
Generative AI now writes CVs on one side of the hiring process and reads them on the other. Research presented at AIES and EAAMO 2025 tested this directly: across major commercial and open-source models, large language models preferred CVs generated by themselves over human-written ones 68% to 92% of the time, even when content quality was held constant. Where AI writes the CV and AI reads it, the document risks distinguishing candidates less by their experience and more by the quality of the AI and prompts used to present it.
Traditional screening can also reinforce pedigree over potential.Research led by UCL's Centre for Education Policy & Equalising Opportunities, drawing on application data from 17 large UK employers, found that graduates from lower socio-economic backgrounds are 32% less likely to receive an offer for entry-level professional roles than their most advantaged peers, despite being well represented in applicant pools, with around half that gap opening at the initial online sift and psychometric testing, before any employer speaks to the candidate.
Experience scoring sits alongside Sapia.ai's existing behavioural competency scores, giving recruiters and hiring managers one explainable view of what a candidate can do and what they've actually delivered without reading a CV. Paired with Sapia.ai's recruiter agent, Tia, it lets recruiters find and compare candidates on measured experience in seconds.
Sapia.ai's customers (Costa Coffee, Starbucks, Qantas) have already replaced CV screening with structured, scored interviews across high-volume roles in retail, aviation, hospitality, and contact centres, because a candidate’s mindset and work ethic predict potential better than where they've worked. Professional and leadership hiring have been the exception, for a good reason: those roles genuinely depend on experience, and no scalable way existed to measure it consistently before the traditional CV sift. Experience scoring closes that gap.
The science it rests on is not new. Researchers have spent decades ranking what really predicts how well someone will perform in a role. In the most rigorous recent review of that evidence, Sackett and colleagues (2022) placed the structured interview at the top of every common hiring method, scoring 0.42 for how well it predicts job performance. Years of experience, the one thing a CV reliably tells you, came near the bottom of the same list at 0.07. What sharpens an interview further is asking people what they have actually done, rather than what they would hypothetically do. Meta-analytic evidence puts past-behaviour questions at 0.56 against 0.45 for hypothetical ones (Taylor & Small, 2002). That is exactly what experience-scoring answers.
About Sapia.ai
Sapia.ai is an AI-native hiring platform that replaces early-stage CV screening with structured, explainable interviews scored against validated behavioural science. Since 2018, more than 10 million candidates have completed a Sapia.ai interview. Sapia.aiis used by enterprise organisations including Costa Coffee, Holland & Barrett, Qantas, and Target Australia to hire fairly and consistently at scale. Learn more at sapia.ai
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