| Available for | Roles | Super Admin |
| Permissions | • View Visual Insights reports > Offers | |
| Packages | Lever Basic, LeverTRM, LeverTRM for Enterprise Advanced Analytics add-on required for some pages |
The Offers dashboard provides you with insight into key performance indicators related to offer volume and acceptance. The Offers dashboard is useful for identifying trends in offer generation, revisions, and time to accept, so you can optimize processes related to the offer phase of your talent funnel. As you are reading, refer to our LeverTRM Glossary for definitions of the key terms and concepts used in this article.
Accessing the Offers dashboard
To access the Offers dashboard:
- Navigate to Visual Insights via the platform header
- Click the chevron (>) on the left side of the page
- Click Dashboards and select Offers from the expanded menu
Navigating the Offers dashboard
The Offers dashboard is segmented into pages, each containing charts that will give you insight into a different dimension of your offers data. Move through the pages by selecting the tabs running along the top of the dashboard.
Page tabs on the Offers dashboard
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The Approvals and Revisions page requires LeverTRM packages with the Advanced Analytics add-on. |
Pages on the Offers dashboard
Metrics on the Offers dashboard are visualized in different types of charts. Below, you will find a description of each page as well as the charts they contains and how the metrics on each chart are calculated. Note that each metric listed is sensitive to the values in the filters above the dashboard. Also keep in mind that data associated with confidential job postings is excluded from the charts. You can export the data from any chart by hovering over the top-right corner, clicking the ⠇icon, and selecting Download data.
Filters can be be mixed and matched to hone in on specific data sets on any given dashboard. Once you have selected or input values to the filters, you must click the ⟳ button to apply the filters to the data on the dashboard. It may take a few seconds for the dashboard to refresh with your applied filters. For a more detailed description of how filters work in Visual Insights, refer to our help article on dashboard filters.
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The colors used on all Visual Insights charts are ADA compliant for red, green, and blue color blindness as well as monochromacy. |
Offers
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The Offers page requires that you have an input in the Offer status grouped by filter at all times. This filter only affects the Offers status summary chart. |
The Offers page contains charts that show the volume, status, and efficacy of offers in your Lever environment. Use the charts on this page to ensure that offers are being generated and accepted at rates that align with your organization's recruitment objectives.
KPI tiles
These metrics can be found in the tiles arranged along the top of the Offers page.
KPI tiles on the Offers page
| Offers accepted | The count of accepted offers sent within the date range. | ||||||
| Offers pending outcome | The count of the latest offers sent within the date range that have not been signed or declined. | ||||||
| Offer acceptance | The percentage of offers accepted relative to the total number of offers sent within the date range. Offer acceptance can take place within or after the date range. | ||||||
| Avg. revisions per offer |
The average number of revisions made to offers extended within the date range, calculated as:
A "revision" is defined as any saved change to the value(s) in the Offer details fields after an offer has been sent. For example, changing the compensation amount and expiry date on an offer and re-sending that offer would be counted as a single revision. To learn more, refer to our help article on offer revisions. |
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| Avg. time to accept |
The average number of days between the first offer extended and acceptance of the offer, calculated as:
Offers extended before the date range are included in this calculation. Offer acceptance occurs at the time an offer is marked as signed by the candidate. |
Offers accepted and sent
A large difference between the numbers of offers accepted and sent indicates that a considerable amount of offers are being declined and/or are pending. Use the 'Offer status grouped by' filter to pivot data on the 'Offer status summary' chart by department, recruiter, and origin to better understand if challenges related to offer performance are organization-wide or limited in scope. A small difference between the numbers of offers accepted and sent could indicate that your organization's compensation strategy is generous. Be sure view this metric in conjunction with offer acceptance rate and number of offers pending for appropriate context.
Offers pending outcome
A large number of outstanding offers could be indicative of candidate hesitancy or a process breakdown (e.g. delays in processing offers that are sent manually). Drill down into this metric to see exactly which offers are pending and by whom they have been sent. If the volume of pending offers is equally distributed across departments and recruiters, consider implementing a general change in process such as installing an offer deadline after which offers are rescinded. If pending offers are localized to specific individuals or teams, consider implementing targeted enablement with recruiters and hiring managers that have the largest number of offers in limbo.
Offer acceptance
Offers that are pending a decision from the candidate are factored out of this calculation, giving you an exact measure of your organization's offer performance. To diagnose decreases in offer acceptance, navigate to the 'Offers by status' chart and drill down into declined offers. If you find that you are lacking necessary context to understand why candidates are declining offers, consider adding a 'Withdrew or Declined' form to your system that recruiters can use to document the circumstance under which candidates decline, have an offer rescinded, or pull out of the hiring process for any other reason. The data in this form can be later exported and manually reported upon.
Average revisions per offer & Average time to accept
Taken together, these metrics can shed light on where your offer process may be slowing down the overall candidate experience. Frequent offer revisions can inflate the amount of time offers spend in a pending state, which in turn can drive up the average time to accept offers.
Offers by status
This chart shows you the volume and status of existing offers within in a given period of time.
| Chart type | Bar chart |
| Data set | Offers as of end of date range |
| Grouped by | Status (Started, Approved, Sent, Declined, or Signed) The count of offers with a status of 'Declined' or 'Signed' only reflects offers that were moved into that status within the date range. |
| Unit of measure | Count |
| Revealed on hover | Status and offer count |
Filter the dashboard by department and posting owner and then use this chart to drill down into localized or organization-level trends, such as approved offers that have yet to be sent and stalled offers in the 'Started' bucket. You can also use this chart to further diagnose decreases in pipeline velocity. For example, you can apply the same filters on the Pipeline dashboard see if time to hire and the time spent in stage metrics correlate with slow and stale offers.
Offer events over time
This chart can be used to gauge offer velocity by reviewing the distribution of offer activity over a given period of time
| Chart type | Stacked column chart |
| Data set | Offers events that occurred within the date range Each change in status is counted as a unique offer event. Offers will be counted once for every time they change status within the date range. |
| Grouped by | Date interval (week or month, as per Date interval filter) |
| Unit of measure | Count |
| Revealed on hover | Date interval, status, and offer count |
Offer acceptance over time
This chart provides you with insight into your degree of offer effectiveness by allowing you to view the volume of offers sent over a give period of time relative to the rate of acceptance.
| Chart type | Column and line chart |
| Primary data set | Offers sent within the date range |
| Secondary data set | Offers sent within the date range that were later accepted Offer acceptance can occur within or after the date range. |
| Grouped by | Date interval (week or month, as per Date interval filter) |
| Unit of measure | Count (Offers sent) and percentage (acceptance rate) |
| Revealed on hover | Date interval and offer count or acceptance rate |
Use the offer events and offer acceptance over time charts to assess for short-term pressures and long-term seasonality in offer activity. Once you have identified seasonal trends, you can prepare your organization accordingly. For example, periods in which there are high concentrations of offers pending approval could correlate with seasons in which approvers have limited bandwidth. You can proactively modify your offer approval workflows by incorporating dynamics approvers so offers do not stall in the pipeline. In periods in which there are high concentrations of declined offers, compare the reasons for which offers are declined to see if they are historically consistent. If the reasons for decline deviate from the historical distribution, consider conducting research into changes made by your competitors.
Offer status summary
This chart allows you to compare the volume and efficacy of offers broken down by groupings such as posting owners, teams, and sources.
| Chart type | Stacked bar chart |
| Primary data set | Offers as of end of date range |
| Primary grouping | Parameter in Offers status grouped by filter |
| Secondary grouping | Status (Started, Approved, Sent, Declined, or Signed) The count of offers with a status of 'Declined' or 'Signed' only reflects offers that were moved into that status within the date range. |
| Unit of measure | Count |
| Revealed on hover | Primary group, status, and offer count |
Take advantage of the 'Offer status grouped by' filter to compare offer activity and performance across key business areas. Pivot this chart by source or origin to determine which channels are yielding the largest volume of signed candidates. Pivot by department, postings, and posting owner to determine where your recruitment team is spending their time and identify potential process issues. Ensure that your hiring team is equipped handle postings that see a high volume of offers. Conduct targeted training on how to process offers with posting owners and approvers in order to prevent offers from spending large amounts of time waiting to be sent and/or approved.
A table containing All offers can also be found at the bottom of the Offers page, showing details of all offers created within the date range, consisting of:
- Candidate name
- Opportunity owner
- Posting title
- Status
- Number of revisions
- Start date
- Salary
- Salary interval
- Currency
- Equity (if applicable)
- Equity type (if applicable)
- Create date
- Posting location
- Sent date
- Hiring Manager
- Requisition Owner
- Posting ID
- Requisition ID
Use this table to get immediate answers to questions about specific candidates and offers. Attain a real-time understanding of offers on a case-by-case basis, zooming in on candidates that declined offers and members of the hiring team that need a nudge to get offers sent and/or approved.
Approvals and Revisions
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The Approvals and Revisions page is only available with LeverTRM packages that include Advanced Analytics. |
The Approvals and Revisions page contains charts that show the volume and velocity of offers that underwent revision in your Lever environment. Use the charts on this page to check for bottlenecks in your organization's offer revision and approval processes, to ensure that you are able to close candidates with agility.
KPI tiles
These metrics can be found in the tiles arranged along the top of the Approvals and Revisions page.
KPI tiles on the Approvals and Revisions page
| Count of offers sent | The count of offers sent within the date range. | ||||||
| Count of offers with revisions | The count of revised offers sent within the date range. | ||||||
| Count of revisions |
The count of revisions made to offers within the date range. A "revision" is defined as any saved change to the value(s) in the Offer details fields after an offer has been sent. For example, changing the compensation amount and expiry date on an offer and re-sending that offer would be counted as a single revision. To learn more, refer to our help article on offer revisions. |
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| Percentage of offers with revisions |
The percentage of revised offers sent within date range, calculated as:
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Average time to approve offers
This chart shows you allows you to gauge how quickly it takes for created and revised offers to get approved before being sent to a candidate. Use this chart to evaluate your offer approval workflows to ensure that offer approvers in your organization are quickly actioning approval requests. To learn more, check out our help article on offer approval workflows.
| Chart type | Line chart |
| Data set | Approved offers created and/or revised within the date range Offer approval can take place within or after the date range. |
| Grouped by | Date interval (week or month, as per Date interval filter) |
| Unit of measure | Count |
| Revealed on hover | Date interval and count of hours |
Average time to revise offers
This chart shows you how long it takes on average to get revised offers out to candidates. Use this chart in conjunction with the 'Average time to approve offers' chart to identify potential bottlenecks in the time it takes offer authors to draft revisions and submit them for approval.
| Chart type | Line chart |
| Data set | Offers revised within the date range and sent within or after the date range |
| Grouped by | Date interval (week or month, as per Date interval filter) |
| Unit of measure | Count |
| Revealed on hover | Date interval and count of hours |
Overview of offer revision fields
This table lists offer form fields that underwent at least one revision on offers sent within the date range, broken down by how often the fields were used and revised. Use this table to identify fields that are undergoing high rates of revision so you can make process changes that will decrease the overall amount of necessary offer revisions. The table consists of the following columns:
- Revised field label - i.e. the field on an offer form that underwent at least one revision
- Field use count - i.e. the number of times the field was used on revised offers
- Field revised count - i.e. the number of times the fields was revised on revised offers
- Percentage revised - i.e. the proportion of field revisions relative to the total number of times it was used on revised offers
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Click the colored dots along the bottom of multi-value charts to add or remove groups from the visualization. Hold the Alt key (or the Option key on a Mac) when clicking a dot to filter for that group only. |