Optimizing Multi-Division Recruitment with Data-Driven Assessments
Supporting a leading automotive parts manufacturer in Indonesia to recruit the right talent across multiple divisions through objective psychological assessments.
Client Information
ADR Group is a group of companies focusing its activities in the production and distribution of automotive components.
Industry
Manufacturing
Team Size
10,000 employees
Use Case
Recruitment assessment
Solutions Used
Career Match and Cognitive Test (IQ)
The Challenge
Recruitment across diverse divisions—including Operations, Field, IT, HR, Production, QA, Environmental Officer, Engineering Product, Cost Control, Finance, Accounting, and Procurement—required an efficient and consistent selection process.
Core Problems
Misalignment Between Candidates and Job Requirements
Difficulty in matching candidates’ interests and abilities with the diverse requirements of different job roles.
Complex Multi-Role Screening Process
High complexity in screening and evaluating candidates for multiple roles across various divisions at the same time.
Lack of Objective Placement Data
Limited availability of objective and standardized data to support accurate and data-driven placement decisions.
The Approach
Applying standardized psychological assessments to objectively evaluate candidates’ cognitive abilities and career interests prior to placement.
The Solutions
Implementation of IST Screening and Career Match assessments to complement technical interviews.
| Assessment Name | How This Assessment Help |
|---|---|
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Measures candidates’ cognitive abilities to support effective screening for multiple roles and ensure they meet the intellectual demands of each position. |
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Helps identify candidates’ interests and career preferences to ensure better alignment between individual aspirations and specific job requirements across different divisions. |
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Provides objective and standardized assessment results that support accurate, fair, and evidence-based placement decisions. |
The Results
Improved accuracy in matching candidates to roles based on their interests and cognitive capabilities
More efficient screening process across multiple divisions with standardized assessment criteria
Enhanced decision-making through objective, data-driven insights, leading to better placement outcomes and reduced recruitment risk
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