Create the future of work with psychology and data

Predicting success

Psychology and data help predict behavior. So you know in advance who will be successful in a role or team. This prevents disappointment, underpins selection and development decisions, and provides a grip on future performance, without assumptions.

Grow and accelerate

What skills does your organization need to remain agile, innovative, and competitive? Our insights make growth paths visible at the individual, team, and organizational levels. With psychological insights and data, you can focus on acceleration.

Collaborate smarter

Teams with high collective intelligence solve problems faster and perform better. We help you build and strengthen those teams. With our unique tools, you make collective intelligence concrete and measurable. So that the collective can grow and accelerate.

The future of people work

We live in a world where work is no longer defined by job function, the workplace is no longer a specific place, and many colleagues are no longer traditional employees. With the advent of AI in the workplace, the future of work has never been more uncertain. Organizations are rethinking everything from talent strategies to the role of human resources to rethinking roles, structures, and functions in a technology-driven world. Work performance today is no guarantee for tomorrow. To take people with us into the future of work, we will need to delve more deeply into our people.

What Starcheck does for you

Talent assessment

Objective insights into selection and development

Psychological assessments make talent measurable. They help organizations to select more objectively and to map development potential reliably. This way, you prevent mismatches, increase sustainable employability, and make choices that contribute to growth and agility for people and organizations.

Teams & collaboration

Successful teams with psychological team analysis

Working in teams is becoming increasingly important. The added value of a team is that it collectively outperforms the sum of its members. But how do you predict that? Our insights into team chemistry predict a team’s success and performance. This reduces interventions, fixes after the fact, and increases team performance.

Professional instruments

TAKE ASSESSMENTS YOURSELF

Want to know who has the potential to contribute to growth? Starcheck’s assessment tools give HR professionals reliable, data-driven insights into talent, team dynamics, and development potential. Substantiate selection and development decisions with psychological precision. Read more about our tools.

Strategic HR advice

From insight to impact with a sparring partner

We help HR leaders gain strategic insight into culture, skills, and behavior. Using psychology and data, we bring growth opportunities, skills gaps, and development needs into sharp focus. For individuals, teams, departments, and organizations. This enables you to build on development, agility, leadership, and future-proof growth.

These brands choose Starcheck

News and Insights

An assessment is quickly recouped

Less turnover, better skill-fitt, and more effective collaboration: benefits that make the ROI of an assessment very short. Our ROI calculator is based on the Brogden-Cronbach-Gleser (BCG) model. Learn more about the ROI of an assessment.

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Evidence-based Selectiemethoden

Deze factsheet geeft een overzicht van de meest gebruikte (psychologische) selectiemethoden, zowel klassieke als moderne. De cijfers zijn gebaseerd op meta-analyses en dominante wetenschappelijke literatuur.

Methode Predictieve validiteit (r) Typische betrouwbaarheid
Cognitieve capaciteit (GMA test) .51 Hoog (.85-.95)
Werkproef .54 Hoog
(interbeoordelaars ≥.70)
Gestructureerd interview .51 Middel-hoog (.60–.75)
Ongestructureerd interview .18-.38 Laag-middel (.40–.55)
Integriteitstest .41 Hoog (α ≥.80)
Conscientieusheid (Big Five) .31 Middel-hoog (α ~.75–.85)
Job-kennistest .48 Hoog (≥.80)
Dienstjaren .18 Niet van toepassing
Video-/asynchroon interview (incl. AI) .30-.40 Goed bij structurering; algoritmisch variabel
Machine learning / algoritmische modellen .20-.50 Afhankelijk van dataset; generaliseerbaarheid beperkt
Serious games / game-based work samples .35-.50 Hoog bij objectieve metrics
Social media screening .00-.20 Laag en variabel

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