|Available for||User roles||Limited Team Members and above|
|Packages||All Lever packages|
Following the successful launch of Visual Insights a year ago, we are announcing the deprecation of Legacy Reporting. As of October 2023, new users to Lever will not have access to Legacy Reporting. Legacy Reporting will be removed from Lever for current users with next year's Fall Release, targeted for November 2024.
Visual Insights will become the default (and only) reporting experience within the Lever platform. If you’re unfamiliar, Visual Insights is a series of ready-to–use dashboards, built from customer feedback and industry best practices.
Check out this article regarding the transition from Legacy Reporting to Visual Insights. To learn how to view posting metrics in Visual Insights, refer to our Visual Insights: Postings dashboard help article.
If you have any questions or concerns about this upcoming change, please feel free to reach out to your Customer Success Manager or submit a request for assistance.
Lever’s Job postings dashboard allows you to centralize all data about a published, internal or closed job posting into a single report. With the job postings dashboard, you can easily assess the progress of a posting, gain deeper insight into hiring trends using predictive analytics, and visualize key recruitment metrics. Reader of this article will learn about the information shown in the nine areas of this dashboard:
- Part 1: High-level summary totals
- Part 2: New opportunities
- Part 3: Interview distribution
- Part 4: Interview volume
- Part 5: Interview feedback forms
- Part 6: Pipeline predictions
- Part 7: Candidate demographics
- Part 8: Pipeline snapshot and conversion
- Part 9: Posting information
Before proceeding, note that the information shown on the dashboard will reflect the posting selected under the 'Job postings' header at the top of the left-side navigation. As such, users will only be able to access metrics for postings to which they have access. To watch a guided tour of the Job postings dashboard, jump to the video at the end of this article.
Part 1: High-level summary totals
|Since this posting was created||This indicates when the job posting was first created in your Lever account. Note that this is not the date the job posting was initially published, but the date a user clicked “Add new job posting” in job postings.|
|High-level summary totals||This chart shows how many candidates are entering your pipeline via different channels.|
|Total opportunities||The total number of candidates associated with this job posting for all time.|
|Offer opportunities||The total number of candidates moved into the offer stage for this job posting for all time.|
|Hired opportunities||The total number of candidates that have been hired for this job posting for all time.|
|Archived opportunities||The total number of applicants who have been archived for this job posting for all time.|
Part 2: New opportunities
The New opportunities graph allows you to construct visualizations of candidate origin data over time. By default, Lever will display the origins of new candidates over a nine week period. Drill down your new opportunities graph to answer questions like “How many new candidates entered my pipeline with the ‘Applied’ origin?” or “Which origin are my best candidates associated with?” Utilize this report to identify the origin of your highest-quality candidates.
You can further customize this report by deselecting origins. This will allow you to view candidates over time from one (or more) origins. Click an origin from the key to deselect it.
Part 3: Interview distribution
The Interview distribution report provides you with an overview of how many interviews your team has conducted for this posting for all time. You can easily view the number of interview events, interview panels and the percentage of both positive and negative feedback left at each stage of your pipeline. Super Admins and Admins can uncover additional candidate data by clicking on any of these numbers in the table.
Part 4: Interview volume
The Interview volume graph visually represents the total number of interview panels that occurred week over week for all candidates associated with the selected job posting. The colored dots and solid lines indicate the number of interview panels that have taken place over the past five weeks. The open dots and dotted line indicate the number of scheduled interview panels for the next five weeks.
Part 5: Interview feedback forms
Use the Interview feedback forms report to understand how each member of your team is performing, how many interviews they've conducted, and how feedback forms are faring in the scope of the interview process.
|Average time to complete||The average time between the end of an interview event and feedback form submission, only counting completed forms for scheduled interviews (not added manually). If an individual has yet to complete their feedback form, their time is not counted in this metric.|
Part 6: Pipeline predictions
Lever’s pipeline predictions uncover trends and predict likely outcomes. We focus on three predictive metrics:
|For 1 hire, you need||This prediction is calculated by dividing the total number of candidates for this role by the number of hired candidates for this role.|
|At current speed, 1 hire takes||This prediction is calculated by taking an average of the total amount of time that each hired candidate spent within your hiring pipeline.|
|Of all candidates in your pipeline||This prediction is calculated by dividing the number of hired candidates for this role by the total number of active and archived candidates for the role, and multiplying by 100.|
Part 7: Candidate demographics
Use the Candidate demographics report to identify the top origin and sources of candidates in all stages, the Offer stage and the Hired stage.
Part 8: Pipeline snapshot and conversion
Use the Pipeline snapshot and conversion report to track candidates who moved from one stage to another stage or archive reason in the interview process.
Part 9: Posting information
The tiles in Posting information section provide you with a quick summary of when the job posting was created, published, and closed. If the publication tile does not contain data, it means the posting has not yet been published. If the closed date tile does not contain data, it means the posting has not yet been closed.