With Zmartests, skills assessment is scientific, not intuitive.
According to the World Economic Forum, skills-based hiring is five times more predictive of job performance than education-based hiring, and twice as predictive as work experience-based hiring. With Zmartests, your candidates can stand out from the crowd by highlighting their skills.
Normalized questions
At Zmartests, question creation is at the heart of our competency-based approach, and is carried out by experts in the field. New questions are tested, rated (difficulty level) and used in test design.
Zmartests questions types:
Powerful Benchmark Tools
Zmartests is more than 600,000 tests administered and 12 million questions weighted and marked. All this statistical data is processed by our algorithms and incorporated into our reports and dashboards.
Benchmark your candidates against Zmartests indicators and never make a bad hiring decision again!
Adaptive testing (CAT)
These tests automatically adapt to the candidate’s level. We compare them to a project of climbing Mount Everest. All have the same starting point. Many stop at the base camp (beginner), while some go on to the following camps (intermediate and advanced), and only a few reach the summit (expert).
Fixed-item testing (FIT)
Are you looking for a customized test that assesses specific skills? For example, you want to confirm that your candidates are proficient in Excel pivot table functions?
Let our experts assemble tests that mimic the tasks your candidates will have to perform as part of their job. A scale (level of difficulty) is attributed to each test, and the results obtained by your candidates are compared against this scale.
With FIT tests, we can predict in advance the percentage of candidates who will obtain a passing grade. This feature is a major advantage for jobs covered by a collective agreement, or when you need to find the right balance between the level of difficulty and the success rate of a test.
Take advantage of Zmartests’ expertise to better recruit!
Établissement d’une cote objective
L’évaluation subjective laisse place à l’erreur car c’est un évaluateur et non la science des données qui décide si un exercice est de niveau débutant ou intermédiaire.
Zmartests réalise uniquement des évaluations objectives basées sur des mesures concrètes. Nous développons les exercices et analysons les scores. Puis, nous utilisons les résultats obtenus pour déterminer le niveau d’un exercice (débutant, intermédiaire, avancé, expert).
Comme les données ne mentent pas, vous profitez d’une vraie évaluation des compétences.
The Dunning-Kruger effect and biases in your selection processes
The Dunning-Kruger effect is a cognitive bias that translates into overconfidence. It corresponds to the tendency of people who are less competent or less familiar with a given subject to overestimate their true abilities, because they are less aware of what they don’t know. This discrepancy between perception and reality is often cited by recruiters. Who hasn’t heard of the candidate claiming to have a good level of mastery of Excel functions, when in fact their knowledge is not up to the task once they’re on the job?
The Dunning-Kruger effect in numbers for Excel competencies
| SELF-EVALUATION According to a survey of 1,000 * | ZMARTESTS INDICATORS Based on Excel test results | |
|---|---|---|
| Beginner | 11% of those surveyed rated themselves as beginners | 36% of people tested are ranked as beginners |
| Intermediate | 57% | 50% |
| Advanced | 27% | 13% |
| Expert | 6% | 1% |
* Source : https://www.acuitytraining.co.uk/
