High number of incorrect appointments due to inadequate selection processes
2 out of 3 HR managers are uncertain when selecting candidates
Staff selection remains one of the biggest challenges for companies. A study by Korn Ferry shows that, despite complex recruiting processes, many HR managers are uncertain whether they have actually hired the right candidates in the end.
20-25% of new hires fail during the trial period and thus lead to a high staffing rate, which results in costly reappointments, and Costs of up to 150% of the annual salary causes.
The causes lie primarily in the often subjective selection process. Decisions are based on incomplete or insignificant documents. Professional qualifications are often visible, but Decisive potentials such as soft skills or cultural fit usually remain unrecognized. The heavy workload thus leads to quick but not always accurate decisions.
Data-based talent assessments to avoid wrong decisions
30% fewer wrong decisions through data-driven personnel selection
Innovative recruiting methods such as scientifically based talent assessments enable a more objective and efficient personnel selection. Digital tools such as Aivy analyse individual potential even before the first meeting — through Requirements analysis and fit matching — and thus reduce the risk of wrong decisions and the unconscious influence of aspects such as age, gender or origin.
The benefits of data-driven talent assessments lie in more precise decisions, because Applicants are assessed based on real competencies and feel valued. At the same time, objectivity and fairness are promoted, as factors such as age, gender or origin take a back seat, which promotes equal opportunities and diversity in recruiting. And companies also benefit from a better candidate experience, as gamified assessment approaches such as those from Aivy significantly increase applicant satisfaction through self-knowledge and 80% time savings.
The best approach: Focus on fit
Compared to classic intelligence tests, Aivy teaches through its multidimensional testing, a holistic picture of the strengths of applicants and employees.
Various studies show that a high fit is the best predictor for various aspects of long-term job performance includes higher job satisfaction and motivation, reduced absenteeism, voluntary positive behavior at work, e.g. through assistance, higher loyalty to the company and lower intention to quit, as well as less burden and stress.
How to implement data-driven recruiting with Aivy in 3 steps
Step 1: Objectively define requirements
Define job requirements simply and accurately — with just a few clicks. Because all parties involved can easily be involved in the process. An e-mail for an invitation via an online questionnaire is sufficient and regularly saves up to 90% time in coordination with specialist departments and at the same time provides an objective basis for decision-making.

Requirements analysis based on our short online questionnaire, which can be shared with experts in the company simply by clicking.
Step 2: Playful testing of applicants' individual strengths
Make individual strengths visible in just a few minutes and thus look behind resumes! The test selection and length can be selected individually and through the use of gamification 80% processing time saved become. All procedures can be completed flexibly via smartphone and promote self-reflection through the appreciative results report.

“Wind Force 6” test method for measuring problem-solving ability

“Self-knowledge” test method for measuring personality according to BIG-5

“Impostor” test procedure to measure problem-solving ability
Step 3: Get your fit score in 1 minute — even before the interview.
See at a glance how well a person fits the vacancy. Our fit score, including extensive interpretation tools, helps with quick pre-selection, saves time and effectively prevents incorrect adjustments even before the initial consultation.

Results report with matching score, recommendation and overview of the scales recorded with a high, medium and low fit to the defined requirements of the position.

Summary of key findings, including opportunities and risks, interview recommendations (including sample questions) and tips for onboarding
96% hit rate and up to 4.5x return on investment
Significant improvements in all areas
Practice shows up to 5x higher precision when selecting the best talent, even before the initial interview and therefore 30% fewer wrong decisions through a more objective pre-selection based on individual job requirements. Which results in a high hit rate and thus, thanks to data-based personnel selection from Aivy, Adjustment accuracy can be drastically increased. This results in less effort in the process leading to 4 to 5 times cost savings in the first year and reduces the time required to fill the vacant position by up to 55% and thus enables faster recruitment.
Provide modern talent assessment tools flexible API interfaces and can therefore seamlessly integrate with existing HR systems. This requires neither expertise nor (external) IT resources.
The gamified tests and intuitive mobile optimization ensure a positive candidate experience. 9 out of 10 applicants prefer this approach compared to conventional test methods, in particular due to the high Time savings of 80% on average. This results in increased applicant satisfaction of over 30%.
Thanks to demonstrably fewer incorrect appointments Does the investment pay off into a better and tool-supported personnel selection process oftentimes Already in the first year.
Try it for freeMore efficiency and better decisions with data-driven recruiting
HR managers who rely on data-based talent assessments benefit from more objective and efficient pre-selection. This not only leads to better hiring, but also to an improved candidate experience and significant cost savings.
Anyone who wants to be successful in the “war for talents” should therefore look into the possibilities of modern recruiting technologies.
Make a better pre-selection — even before the initial consultation!
Aivy shows you at a glance which candidates really fit the role.



