Recrewty
A specialised hiring chatbot, built on Fabrile and validated in peer-reviewed research: personality inference that holds up under academic scrutiny.
The Challenge
Recrewty, a Montenegrin HR-tech startup, wanted to answer a question most recruitment AI never tests honestly: can an AI chatbot infer personality for hiring as reliably as an established psychometric test, and resist the social desirability bias that distorts self-reports in high-stakes selection? Answering it credibly meant the chatbot couldn't be a demo. It had to be a research instrument: consistent, measurable, and rigorous enough to stand up in a peer-reviewed study. It also had to work in Montenegrin and Serbian, a language pairing unsupported by the chatbot platforms used in earlier research. Recrewty and the study's authors engaged Ingram to build it.
Our Approach
Build the chatbot as a research instrument on Fabrile
Ingram built and customised the chatbot on Fabrile, our no-code agent platform, chosen because it could be tailored to run the assessment in Montenegrin and Serbian. It ran on OpenAI's GPT-4 API, with no language-specific training phase, relying on careful design rather than a large training corpus.
Implement a novel one-question-per-facet design
Rather than scoring a whole transcript at once, the chatbot asked one open-ended question per facet of the Big Five and scored each individually, a methodological advance that allowed the study to evaluate the chatbot's psychometric properties at a granular level.
Support a rigorous, real-world study
The chatbot underpinned a quasi-experimental study of 159 professionals across Serbia and Montenegro, using propensity score matching to compare a control group against real bank-hiring candidates, measuring its inferences against a traditional 50-item Big Five questionnaire.
Collaborate through to peer-reviewed publication
Ingram developed the chatbot alongside the authors and provided the Fabrile platform to the research free of charge. The work was accepted to Frontiers in Psychology, co-authored with the London School of Economics' Department of Psychological and Behavioural Science.
What We Deployed
- •A specialised personality-inference chatbot, built and customised on Fabrile
- •A GPT-4-based assessment localised for Montenegrin and Serbian
- •A novel one-question-per-facet design for facet-level psychometric analysis
- •The instrument behind a 159-participant, quasi-experimental study
Outcomes
- •The chatbot showed good structural, substantive, and convergent validity for Extraversion and Conscientiousness
- •AI-inferred scores were found robustly less susceptible to social desirability bias than traditional psychometric tests
- •Honest findings, too: weaker validity on other traits and lower predictive validity than traditional tests, the kind of result only rigorous research surfaces
- •Accepted to Frontiers in Psychology (2025), peer-reviewed validation of Recrewty's research-led approach
“A sincere and big thanks to the Ingram Technologies team, who did an amazing job and helped with the technical deployment of the specialised chatbot, which showed results on par with leading models.”
Let's build it together.
From a first idea to a production system, we'll scope what it takes, reliably, securely, and at scale.