AI candidate evaluation system
An objective, comparable picture of every candidate. IntelliHR’s artificial intelligence analyses incoming résumés along eight dimensions and measures them against the requirements of the specific role — based solely on the candidate’s résumé and the position’s requirements.
The dimensions of evaluation
The AI analysis evaluates candidates along eight dimensions. Each dimension is classified from a well-defined set of values.
Skills
Evaluation of the candidate’s actual, evidenced skills extracted from the résumé, measured against the role’s requirements.
The candidate’s skills cover the role’s requirements to a high degree and quality, with no critical gaps.
The candidate holds part of the required skills, but there are areas to develop or minor gaps.
The candidate’s skills do not cover the role’s key requirements, or there are gaps in critical areas.
How do we evaluate?
The AI extracts the skills actually demonstrated in the candidate’s résumé — only those for which there is concrete evidence. Each skill is measured against the target role’s requirements. The final classification integrates three factors:
- Quality: the average relevance of the existing skills
- Coverage: what percentage of the role’s requirements the candidate meets
- Gaps: the severity of the missing critical skills
Competency-Based Assessment is one of the most reliable methods in recruitment. According to research by the Society for Human Resource Management (SHRM), the fit of role-specific competencies is the strongest predictor of on-the-job performance.
Experience
The level and relevance of the candidate’s professional experience for the given role.
5+ years of relevant experience, high-level fit, with minimal gaps.
2–5 years of relevant experience, good fit, with manageable gaps.
0–2 years of experience, low relevance, or critical experience gaps.
How do we evaluate?
The AI analyses all of the candidate’s roles: position, company, duration and the relevance of each role to the target position. It considers not merely the number of years, but also the quality, depth and transferability of the experience.
The quality of relevant experience matters more than the sheer number of years — modern HR practice uses the “years of relevant experience” measure.
Education
Evaluation of the candidate’s educational attainment and field of study against the role’s requirements.
The candidate’s education meets the role’s expectations: an appropriate degree level in a relevant field.
The candidate’s education is at a higher level than the role requires (e.g. a PhD where a BSc would suffice).
The candidate’s education is at a lower level, in an unrelated field, or there are critical knowledge gaps.
How do we evaluate?
The evaluation rests on three factors only:
- Degree level: high-school / BSc / MSc / PhD, relative to the role’s expectations
- Field of study: the relevance of the field to the role
- Knowledge gaps: the presence of critical gaps
The education assessment is isolated: personality traits and soft skills do not influence it.
Educational attainment on its own is a moderate predictor of job performance (Schmidt & Hunter, 1998), while the relevance of the field adds important context to role suitability. The “Overqualified” category matters especially, because research shows overqualification is a risk factor for turnover and dissatisfaction.
Market Fit
An aggregate assessment of how well the candidate’s profile fits the role and the organisation.
The candidate is strong across every dimension, with high return potential.
Solid foundations, positive return prospects.
A mixed profile; the return is uncertain.
Weak foundations; the investment is risky.
How do we evaluate?
This dimension is a holistic summary of all the other assessments: skills, experience, education, personality and gaps considered together. Here “return” (ROI) means the totality of the recruitment investment — training time, onboarding cost and expected performance.
“Person-job fit” research (Kristof-Brown et al., 2005) shows that the fit between candidate and role is the sum of several dimensions. A single outstanding strength does not compensate for weaknesses in the other areas.
Advancement Potential
An estimate of how far the candidate can grow within the organisation.
The candidate could reach senior or leadership level; significant growth potential is evident.
One or two levels of growth are realistically attainable.
The candidate is at their current career ceiling, or a backward career move is observed.
How do we evaluate?
Based on career-arc analysis: the pace of past advancement, signs of learning ability in the résumé, and the reachability of levels above the target role given the candidate’s profile.
Assessing advancement potential is a cornerstone of talent management. Research by Korn Ferry and Hogan & Kaiser (2005) shows that accounting for growth potential reduces turnover and improves the long-term return on the recruitment investment.
Turnover Risk
An estimate of the candidate’s risk of leaving the new position.
Overqualification, a backward career step, frequent job changes (less than 1 year), or unclear motivation.
A career change with some uncertainty, or explainable overqualification.
A natural career arc, stable job history (2+ years per role), clear motivation.
How do we evaluate?
Based on the pattern of career history: the frequency of job changes, the career direction (upward, downward, sideways), the degree of overqualification, and the logical consistency of the career arc.
The cost of an employee leaving is, on average, 50–200% of annual salary (SHRM). Frequent job changes (less than 1 year) are the clearest turnover-risk signal. The meta-analysis by Maynard et al. (2006) showed that overqualified employees are 30% more likely to resign within the first year.
Career Progression
The candidate’s expected pace of development in the given role.
High learning ability, a clear development path; promotion likely within 1–2 years.
Standard pace of development, 2–3 years to the next level.
A backward career history, overqualification, or limited growth opportunity.
How do we evaluate?
The timing of advancements observed in the career history so far, signs pointing to learning ability (acquiring new skills, successfully handling field changes), and the development opportunities to be expected in the given role.
The concept of “learning agility” (Lombardo & Eichinger, 2000), according to Korn Ferry’s research, is one of the strongest predictors of leadership potential and long-term career success.
Development Time
The candidate’s expected time to reach full productivity in the given role.
Immediate
The candidate can deliver full-value work from day one; high coverage, minimal gaps.
1–3 months
Good foundations, minor gaps to close, or the candidate is a fast learner.
3–6 months
More significant gaps, but strong compensating factors (e.g. adjacent-industry experience).
6+ months
Low coverage, critical gaps, a weak base — a longer ramp-up is required.
How do we evaluate?
A balanced evaluation weighing positive factors (skill coverage, quality, learning speed, industry proximity) against negative ones (gaps, lack of sector experience, a weak base).
“Time-to-productivity” is a key measure of onboarding effectiveness. According to the CIPD (Chartered Institute of Personnel and Development), the average time for a new employee to reach full productivity is 8–26 weeks (2–6 months), which aligns well with the categories used.
The relevance score
Alongside the eight dimensions, every candidate receives an aggregate relevance score (0–100) that reflects a holistic evaluation of the full profile:
Excellent fit — strong in most areas, only minor gaps.
Good fit — a stable base, manageable weaknesses, a positive recommendation.
Moderate fit — a mixed profile, significant gaps, an uncertain fit.
Weak fit — serious weaknesses, critical gaps.
Fundamental mismatch — the candidate’s profile does not fit the role.
The personality assessment
If the candidate has completed the personality test, the AI evaluates the results using the Big Five (Five Factor) personality model:
Openness
New ideas, experimentation, attitude toward change.
Conscientiousness
Organisation, planning, discipline.
Extraversion
Drawing energy from social interaction, initiative.
Agreeableness
Seeking harmony, patience, flexibility.
Emotional stability
Stress management, performance under pressure.
The system measures the result of each dimension against the personality profile expected for the given role and evaluates the fit.
The Big Five model is one of the best-validated personality models in psychology, with its links to job performance supported by thousands of studies. Conscientiousness, for example, is one of the strongest performance predictors for almost every type of role (Barrick & Mount, 1991).
Important notes
The AI analysis is a supporting tool; it does not replace the personal interview and the judgement of the recruitment expert.
The evaluation is based solely on the information found in the résumé — it does not rest on verified facts.
The personality-test result is based on self-reporting, so it is worth validating the key dimensions during the personal interview.
The system evaluates every candidate with the same methodology and the same criteria, ensuring comparability.
Classifications are to be understood relative to the role — the same candidate may receive different evaluations for different positions.
Referenced research
- Schmidt, F.L. & Hunter, J.E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin.
- Kristof-Brown, A.L. et al. (2005). Consequences of individuals’ fit at work. Personnel Psychology.
- Barrick, M.R. & Mount, M.K. (1991). The Big Five personality dimensions and job performance. Personnel Psychology.
- Maynard, D.C. et al. (2006). Overqualification, job dissatisfaction, and increasing disparity. Journal of Organizational Behavior.
- Hogan, R. & Kaiser, R.B. (2005). What we know about leadership. Review of General Psychology.
- Lombardo, M.M. & Eichinger, R.W. (2000). High potentials as high learners. Human Resource Management.
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