Leveraging technology solutions in today’s advancing job market is essential for overall success in procuring top talent to fill requisitions in your company. It’s best to evaluate AI and recruitment software by following thorough steps to ensure it’s a good move to advance your company’s hiring process. First, we will understand the landscape of recruitment automation and AI before delving into the steps for evaluating these solutions.
Evaluate AI and Recruitment Software
Before evaluate AI and recruitment software, it’s best to understand more general information about them. The applicant tracking system is the backbone of recruitment automation and other AI software for hiring evaluation. Other recruitment automation solutions reduce manual tasks for the recruitment team for enhanced efficiency.
Applicant Tracking System (ATS)
Instituting applicant tracking system software will help a company manage job applications and track candidate progress during the recruitment and onboarding processes. The system centralizes all candidate information into one location while automating tasks like scheduling interviews, analyzing resumes, and sending communications to applicants.
Cadient’s ATS software gathers everything into an application pool by utilizing evergreen job postings so you can always access high-quality candidates. When candidates express their availability for shift work, Cadient’s availability matching function will allow you to see the best candidates based on their availability for hard-to-fill shifts.
AI Software for Hiring Evaluation
AI software for hiring evaluation utilizes machine learning and natural language processing to enhance candidate quality. These AI-driven solutions screen resumes for designated keywords to pick up on the best candidates in the pool to ensure they are possible great fits for the open requisition. Application screening with AI also predicts job performance and projected tenure time for each possible candidate as a measure to reduce turnover.
Recruitment Automation Solutions
Usually, ATS software contains many recruitment automation solutions in its one system that instantly handles manual tasks. From candidates scheduling their interviews to sending interview reminders and follow-ups with templates from the system, these repetitive tasks are handled with advanced technology so the recruitment team can handle more important tasks.
Step 1: Define Your Hiring Needs and Goals
Before selecting or upgrading your recruitment automation solutions, you should define your strategic goals and any weaknesses the company experiences throughout the hiring process.
Volume of Applications
Not every recruitment automation tool can handle large volumes of applications. About 65% of companies need recruitment automation software to handle high application volume. Evaluate the data storage capabilities of each software to find the one that best suits your average application volumes.
Diversity and Bias Reduction
Unconscious bias can happen if a recruitment member is in charge of screening resumes and reaching out to candidates for interviews. AI-driven recruitment automation tools can reduce bias while promoting diversity in the hiring process. This will help your company build an inclusive team with people of many backgrounds and skill sets.
Integration Needs
What type of AI tools do you already have for recruitment automation? Can the new AI tool you integrate with the current ones you have? Make some calls to ensure this is possible or you will have to upgrade your AI recruitment automation tools entirely.
Budget
What is your company’s recruitment budget? Do your current AI recruitment automation solutions cause you to go over or under your budget? Evaluate if the possible new AI tools can fit into your recruitment budget before deciding to launch them for use in your company.
Step 2: Evaluate Core Features
Here are the core features of recruitment automation tools. Evaluate if the tools you are interested in investing in have all of these key features. Cadient’s talent acquisition technology has all of these features and so much more!
Resume Parsing and Screening
The best ATS software utilizes AI-driven technology to screen applications and resumes to find the best candidates based on specific keywords related to the open requisition. This feature enhances candidate quality to keep turnover low.
Candidate Experience
An easy-to-use interface, better communication channels from the recruitment team, and other measures for candidate engagement enhance the candidate experience. Evaluate the navigability and ease of communication for these tools to ensure efficiency.
Data Analytics and Reporting
Cadient can give you insight into your hiring metrics so you can conclude how to refine an improvement strategy. Key performance indicators such as time-to-hire and cost-per-hire are displayed in advanced reports to analyze accordingly.
Integration Capabilities
Do the recruitment automation tools you want to try to integrate well with your ATS, HRIS, and other HR tools? A smooth integration process will ensure accuracy during the pilot test.
Step 3: Asses AI and Machine Learning Capabilities
AI software is reliant on machine learning algorithms. Evaluating their capabilities before selecting recruitment automation software is essential for maintaining efficiency and productivity in daily undertakings.
Advanced Algorithms
Are these tools equipped with advanced algorithms that can undergo supervised, unsupervised, and reinforcement learning protocols? Can the natural language processing in the software conduct resume parsing, sentiment analysis, and named entity recognition?
Transparency
Does the AI software provide transparency in their decisions? Does it explain in detail why specific candidates were selected over others during resume parsing? The system should display graphical data that leads to the final decision-making for candidate selection.
Bias Mitigation
AI-driven recruitment technologies reduce bias in the candidate selection process with a standardized evaluation process. This means the same criteria are utilized for screening candidates for everyone in the applicant pool. The AI solution anonymizes each candidate’s personal information like gender, race, and sexual orientation so the recruitment team only focuses on selected candidates’ qualifications and skill sets.
Step 4: Consider User Experience and Support
One of the most important steps in how to select AI hiring software is considering the user experience and overall support measures from the vendor.
Ease of Use
Software should be user-friendly for the recruitment team and human resources. An easy-to-navigate interface means less time spent on the software’s tasks and more on candidate outreach and sourcing efforts to enhance the recruitment strategy.
Training and Support
Does the automation recruitment vendor have training videos and demos for new clients to teach their company representatives how to use the interface? If they have a 24/7 customer chat or phone support line, that’s a definite plus.
Customer Reviews
Before deciding on AI automation software, evaluate customer reviews. What did the company’s client have to say about their positive or negative experience with the software? This will give you insights into which software is right for your company.
Step 5: Conduct a Pilot Test
For each AI automation tool you want to try, conduct pilot tests to see how it works for your company’s operations.
Evaluate Performance
Try different types of ATS software until you are most comfortable with one of them. For every software you try, evaluate its performance after a one-week soft launch. If it is not helping your company meet its recruitment goals, try the next solution.
Gather Feedback
Ask HR and the recruitment team for their feedback about the automated recruitment system. Is it mostly a positive experience or are there any bottlenecks?
Measure Impact
Are KPIs improving now that you have launched this new tool? Evaluate how these hiring metrics change over the first month of use. Assess how much more efficient the digital tool has made your recruitment strategy.
Conclusion
Assessing recruitment automation solutions involves identifying goals and company needs, evaluating core features, analyzing AI capabilities, and other core steps for testing and maintaining compliance. Don’t forget to review compliance and security measures to safeguard candidates’ data so that it meets GDPR, CCPA, and other regulation requirements.
