The talent attraction process is evolving. Is your team ready for the change?
A rapidly changing labor market requires TA technology to adapt quickly to meet new requirements. There has always been pressure to show better ROI since the Great Recession, and even as the landscape evolves, that expectation remains. The importance of attracting talent has never been greater. For when hiring picks up again, teams need an effective strategy for nurturing top talent during slow periods. Recruiters need to identify skills better, automate more processes, and gain deeper insights into talent acquisition to accomplish this successfully. To enhance your TA team's recruitment process activities in these areas, our summer release includes several new features.
Keep an eye on the performance of your team
In your CRM dashboard, you can now view Hiring Conversion, Candidate Engagement, and Recruiter Usage analytics. By embedding analytics into your CRM workflow, you can identify opportunities and pitfalls in your sourcing strategy and make more informed decisions.
Using Sanjay the recruiting manager as an example, we will learn how to use this most effectively. Sanjay checks the Hiring Conversion dashboard right after he drinks his morning coffee to see which sources produce the best results. Afterwards, he looks at the Candidate Engagement dashboard to see how his campaigns are contributing to engagement and conversion.
He notices that the campaigns are not performing as well as they did last month, so he looks at the Recruiter Usage analytics to identify which features are underutilized and find recruiters who could benefit from some coaching. His next team meeting is just around the corner.
Notify candidates about jobs using applied intelligence
Passive candidates can now easily discover relevant open positions by receiving automated emails. Recruiters can use job alerts to match talent with jobs based on skills and experience or candidates can indicate their job interests. With these alerts, you can build quality pipelines faster and increase applicant conversion rates hands-off.
The Talent Cloud uses AI for a variety of applications across the talent acquisition lifecycle. Talent Cloud AI assesses the job fit using job titles, job experience, length of experience, and related jobs to ensure accuracy. With TA teams following responsible AI guidelines and only considering objective data, bias can be reduced in the screening process.
In this example, Sanjay has aggressive conversion goals this quarter, yet he is over budget on job site sourcing. In addition, he can set up targeted, req-centric campaigns for candidates in the AI-powered talent pipeline to increase conversions without spending any additional money by enabling job alerts, encouraging teams to use AI talent matching daily, and encouraging them to use the AI talent matching to discover high-quality candidates (unnoticed previously).
Improve pipelines and campaigns by building a more targeted approach
A candidate sourcing workflow status can now be created and assigned by your recruiters. Millie, for example, updates the workflow status to "reviewed" after reviewing all the resumes in the Women in Engineering pipeline, so that other recruiters know she's working in that group. After a university recruiting event last week, Robert builds an early talent pipeline and sets its workflow status to "event attendee." As a result of their greater familiarity with the company than those in other early career talent pools, Robert can segment that pipeline according to who attended the event and add them to a more relevant campaign.
If Sanjay wants to find out which candidates his team has already engaged, he can view the workflow status to determine which candidates will convert faster and if they possess the skills needed for any upcoming positions.








