If you are a recruiter, you would relate to this tacit assessment while reviewing candidate profiles.
- Roles which are BEGINNER, PROFESSIONAL, EXPERT
- Skills that are NICE TO HAVE, MUST HAVE, SHOULD HAVE
- Candidate Information that is AVAILABLE, REQUIRED, MISSING
- Scores that fall into BASIC, INTERMEDIATE, ADVANCED
- Candidate’s STRENGTHS, WEAKNESSES, LEARNING needs
Evaluating these basic assessment categories manually (more so in combinations) is time-consuming if done manually. The keywords for assessment are HR’s back of mind search criteria for standard screening and hiring methods. The list definitely gets us closer to the ideal candidate, assuming the processing volume is manageable and every candidate profile goes through an elaborate assessment.
However, with maturing workforce strategies, there is great emphasis on reviewing profiles that reflect on the organisation’s goals such as diversity, complementing experience to address skill gaps and so on.
The HR transformation agenda relays into the responsibilities of Talent Acquisition specialists to have concrete magic keywords to assess and shortlist candidates. For instance, companies have policies to rehire and reboard former employees, called Boomerang Experiences. The Boomerang employees typically gain additional skills or acquired experiences in different industries, and are willing to join or network back into the previous organisation. Screening filters in such cases cannot be written in stone and may require continuous updates and flexible search.
The point to note here is that there is no exhaustive list for screening. Talent Acquisition of the future is an open framework, and the smart way to handle it is the use of intelligent technology that powers flexible search and match for evolving needs.
EVA.ai has the perfect set of Talent Acquisition features that can curate all the assessment guidelines and compress the fastidious talent acquisition effort into snap seconds. EVA features
- pre-loaded intelligent search queries
- smart candidate sorting
- automated talent pools with reviewed criteria
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