Tackling Candidate Ghosting with AI and Recruitment Technology
Stacey Shaw & Amanda Reyer
June 20, 2023
Ghosting, a phenomenon originally associated with online dating, has infiltrated the professional world and become a recurring issue for recruiters.
Often, ghosting is seen as an isolated problem, a mere symptom, when in reality, it's a manifestation of deeper issues rooted within the recruitment process. AI and recruitment technology can help minimize ghosting, but first, we must shift our focus from symptoms to underlying causes.
Recognizing and understanding the weak spots within our existing recruitment procedures is crucial. The journey begins with performing a comprehensive audit, expanding beyond the usual communication and technology audits, to include a Candidate Experience Assessment.
This audit consists of a holistic assessment, from the initial interaction with a job posting to the final hiring stages. Taking a closer look at all factors like the user-friendliness of the website interface, the complexity or simplicity of the application process, and the timeliness and quality of feedback offered to candidates.
Data Analytics are indispensable to our auditing efforts. By moving past conventional measures such as 'time to fill' or 'cost per hire,' we can employ data to gain deeper insights into candidate behavior and preferences, thereby aiding in identifying potential problem areas.
Once we've identified these potential pain points in our recruitment process, we can explore how AI and recruitment technology can rectify these issues for faster and more meaningful alleviation of candidate ghosting.
Artificial Intelligence (AI) and Machine Learning (ML) offer invaluable tools to combat candidate ghosting. These technologies enable recruiters to automate routine tasks, accelerating response times, a crucial factor in preventing candidate disengagement.
AI also provides predictive analytics, flagging potential ghosting candidates before the issue arises, allowing recruiters to tackle the situation proactively.
Here are some key ways AI and recruitment technology can enhance the recruitment process and minimize ghosting:
AI-driven chatbots can respond immediately to candidate inquiries, reducing wait time and boosting engagement. They can handle initial applicant screening, schedule interviews, and provide timely feedback, significantly enriching the candidate experience.
Powered by AI, CRMs maintain a record of all candidate interactions, automate follow-ups, and provide valuable insights into candidate behavior, ensuring candidates don't feel neglected while also reducing the chances of ghosting.
AI can help analyze the entire recruitment process, identifying stages where ghosting is more likely. This analysis enables recruiters to enhance these stages by speeding up response times or providing more personalized communication.
VR and AR in recruitment can drastically enhance the candidate experience, providing virtual office tours, realistic job previews, and interactive onboarding, all of which increase engagement and lower the likelihood of ghosting.
RMA leverages AI and automation to improve the candidate experience. It offers features such as automated responses, personalized communication, and interview scheduling, all enhancing engagement and decreasing the chances of ghosting. By automating specific processes, RMA allows recruiters to focus more on building relationships with candidates.
The need for immediacy and a streamlined experience is not a mere trend but is quickly becoming the new standard in recruitment. By embracing AI and innovative technologies, recruiters can address these evolving expectations effectively. An AI-infused approach can elevate the overall candidate experience and significantly reduce candidate ghosting instances.
Interested in exploring how AI and recruitment technology can revitalize your recruitment process? Contact us at Wicresoft today for comprehensive audits of your application process. We'll help identify potential hurdles for applicants and pinpoint areas ripe for optimization.