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The new standard for fair, evidence-based hiring.
Hiring breaks when decisions rely on gut feeling. Intelligent Selection fixes it – with structure, comparable evidence, and continuous improvement.
The Problem
Selection breaks when it matters most
When the pressure is on, even good teams fall back on gut feeling. Recright keeps decisions fair and evidence-based.
85%
of hiring decisions are based on gut feeling, not evidence.
Recruiters aren't aligned
Without a shared definition of what "good" looks like fair comparison becomes impossible.
Structure fades under pressure
Without clear guides, interviews become unstructured and inconsistent.
Evidence is scattered
Notes, impressions, and feedback live in separate tools – and are impossible to compare objectively.
features
This is Intelligent Selection
Intelligent Selection brings clarity, fairness, and confidence to every hiring decision – built on three fundamental principles.
Evidence-based
Hiring decisions should be grounded in real data, not gut feeling. Validated screenings, structured interviews, and comparable scoring help you rely on what truly predicts success – not who happens to impress in the moment.
Structured by design
The hiring process follows a consistent, predefined format. Same steps, same questions, same evaluation criteria – giving every candidate a fair shot and every interviewer a clear way to make fair, confident decisions.
Human-led, AI-assisted
Technology supports judgment – it doesn’t replace it. AI helps organize insights, highlight patterns, and reduce bias, so people can focus on what they do best: understanding people.
How it works
From principles to practice
The Intelligent Selection method turns structure into an everyday habit, a way for talent-acquisition professionals and hiring managers to work together using one shared, evidence-based approach.
stage 1
Clarify what success looks like – agree on the outcomes, competencies, and skills that truly matter.
stage 2
Screen candidates using the same shared set of criteria: reducing bias, building consistency and reliability - at scale.
stage 3
Ask structured questions and capture comparable insights into each candidate and their real behavior.
stage 4
Evaluate candidates side by side using shared and pre- defined criteria, focusing on facts to improve confidence in decisions.
stage 5
Review outcomes after each interview and capture lessons learned – turning real insights into process improvements.
The foundation of Intelligent Selection
Rasmus Nybergh’s book explores the idea of Intelligent Selection — how structure, evidence, and fairness can transform hiring. Recright brings it to life in practice.
What it does
What you get with Recright
Recright turns Intelligent Selection from a framework into everyday practice.
It gives recruiters and hiring managers one connected platform to define what good looks like, run structured interviews, and make evidence-based decisions.
Why teams choose Recright
For organizations
Build structured role descriptions and interview guides before you start.
For leaders
Visibility into screening and interviews, accountability across every decision.
For candidates
A fair, predictable, human experience.
Our approach to AI
AI shouldn’t replace human judgment. It should make it better.
Built for better judgment, not to replace it. At Recright, AI is part of Intelligent Selection. It helps people make fair, consistent, evidence-based decisions – not faster guesses.
AI organizes what’s messy, highlights what matters, and connects signals that would otherwise be lost. It doesn’t take over judgment; it gives it structure. People still decide, with better information and clearer reasoning.
Used well, AI makes hiring more transparent and defensible. It supports the human side of selection (focus, fairness, follow-through), and it keeps learning from real outcomes. We build AI to enhance expertise, not automate it. To help professionals do what they do best: see potential, compare fairly, and choose with confidence.
Because practice beats theory, and evidence beats intuition. That’s what Intelligent Selection is all about.
AI organizes what’s messy, highlights what matters, and connects signals that would otherwise be lost. It doesn’t take over judgment; it gives it structure. People still decide, with better information and clearer reasoning.
Used well, AI makes hiring more transparent and defensible. It supports the human side of selection (focus, fairness, follow-through), and it keeps learning from real outcomes. We build AI to enhance expertise, not automate it. To help professionals do what they do best: see potential, compare fairly, and choose with confidence.
Because practice beats theory, and evidence beats intuition. That’s what Intelligent Selection is all about.
faq
Frequently Asked Questions
What is Intelligent Selection?
Intelligent Selection means using structure, data, AI, and science-backed practices to make better hiring decisions. Recright helps teams apply competency-based methods, collect comparable evidence, and improve continuously – turning evidence-based hiring into everyday practice.
Why does the selection process often fail?
Hiring breaks when structure slips – criteria differ, notes disappear, and decisions become subjective. Intelligent Selection fixes this by making every step – screening, interviewing, deciding – consistent, fair, and measurable, shifting hiring from intuition to insight.
How does Intelligent Selection improve fairness in hiring?
Fairness comes from structured and transparent evaluation. Recright standardizes how candidates are assessed so everyone is compared on the same criteria. This reduces bias and strengthens DEI, compliance, and overall trust.
What role does AI play in Intelligent Selection?
Recright uses AI to enhance – not replace – human judgment. AI creates role profiles, builds structured interview guides, summarizes responses, and surfaces insights humans might miss. The result is faster analysis, fairer comparisons, and ethical, transparent AI support.
How is Intelligent Selection different from traditional recruiting?
Traditional hiring relies on speed and intuition. Intelligent Selection prioritizes structure, fairness, and evidence. Instead of “Who feels right?”, it asks “Who meets the criteria – and how do we know?”, leading to more confident and consistent hiring.
Who benefits most from Intelligent Selection?
Recruiters get clarity and automation.
Hiring managers get guidance and consistency.
TA leaders get visibility, compliance, and stronger decision quality.
Intelligent Selection aligns people, process, and technology across the entire hiring team.
Hiring managers get guidance and consistency.
TA leaders get visibility, compliance, and stronger decision quality.
Intelligent Selection aligns people, process, and technology across the entire hiring team.
What proof is there that structured selection works?
Structured interviews are up to 4× more predictive than unstructured ones. Teams using structured selection report fewer mis-hires, stronger diversity outcomes, and higher decision confidence. Intelligent Selection operationalizes this structure end-to-end.
How can we start applying Intelligent Selection?
Begin with Recright Prepare, the free AI tool for competencies, structured interviews, and fair evaluation guides. Then expand with Screen, Interview, and Decide modules to build a fully intelligent selection process.
Ready to raise the standard of selection?
See how Recright fits your process — and start making hiring decisions you can stand behind.
