|Super Admin, Admin, Team Member, Limited Team Member
|• Manage profiles and view associated postings
|LeverTRM, LeverTRM for Enterprise
Nurture Recommendations intelligently resurfaces high-value past candidates who fit open roles, helping organizations kickstart the hiring process and get more from their existing talent community. Before diving in, we recommend reading our our help article on Nurture campaigns to learn how to set up and use Nurture campaigns.
How Nurture Recommendations works
Nurture Recommendations relies on Lever’s proprietary algorithm to resurface past candidates so you can source them for new and open roles. The algorithm takes into consideration a weighted combination of different criteria, including but not limited to feedback form scores, notes, archive reasons, previous job postings, stage progression (i.e. how far they got in your recruitment process), referrals, and origins.
For a past candidate to be resurfaced through Nurture Recommendations, they must be currently archived and cannot be currently snoozed or hired.
Note that candidates you have nurtured via Nurture Recommendations are not tracked independently of other candidates you include in a Nurture campaign. If you would like to keep track of how well your Nurture campaigns do with recommended candidates, we suggest making a copy of the relevant Nurture campaign and adding them to it - that way, you can compare response rates for recommended candidates vs. non-recommended candidates.
Using Nurture Recommendations
To see a list of recommended candidates, start by navigating to the Candidates section of Lever and click Recommendations in the upper-right corner.
Click on Select job posting and choose a job from the dropdown menu
Once you have selected a job posting, the page will show recommended candidates for that role. Lever’s algorithm looks through past applicants to find qualified candidates. Note that Limited Team Members will only see candidates they have permission to view in their recommendations.
Lever ranks the candidates by quality. The recommendation engine will also surface critical candidate details to help you determine or remember how well suited a candidate is.
You can further refine the list of recommendations using a number of different filters including Archive Reason, Reached Stage, Last Contact, and Average Rating.
Lever has detects a LinkedIn link on the profile of a recommended candidate, a LinkedIn icon will appear next to their name. Click the icon to open their LinkedIn profile in a new tab.
Click on a candidate name in the recommendation list to open their profile. The profile viewer allows you to quickly click through all of your recommended candidates. You will see a counter on the left side indicating the candidate's list place and total number of candidate recommendations you are viewing.
If you see a candidate that you don’t think is a good fit for the role, hover over the right end of their entry on the recommendation list and click the X to dismiss them. Dismissing a candidate prevents them from showing up in your recommendation list for that particular job posting going forward. Note that the candidate will still appear in the recommendation list of other recruiters generating recommendations for that same posting.
Generating additional recommendations
For users using Lever with Super Admin, Admin, and Team Member access, you can add related jobs to the search query to source from a larger talent pool. Note that users with Limited Team Member access will not be able to add related jobs to the search described in this section.
- Click the Get more candidates link to start.
A modal will appear prompting you to add jobs that are similar to the one for which you are sourcing. When you add a similar job, Lever will include past applicants from those similar jobs alongside your original recommendations.
- Click the + Add similar job button
- Use the posting drop-down to scroll or search for jobs that might have a shared talent pool
For example, if you were hiring for a Lead Product Manager role, you might want to add your Assistant Product Manager jobs or Product Manager internship as a similar job. Past applicants to those jobs are likely to be good candidates for the Product Manager role.
- Click the job you wish to add
- Click the blue Update button
Your Nurture recommendations page will now indicate that your recommendations are based on other similar jobs.