Overview

In Nimble, there are two data dashboards that users can leverage to make data-driven decisions about their recruitment and hiring efforts. The vacancy dashboard is used to track vacancy-related data across your organization, while the pipeline dashboard is used to track specific applicant and hiring pipeline data. Tracking and analyzing your vacancy and pipeline data offers organizations the ability to make more data-driven recruitment and hiring decisions in real time!

Exporting the data

Navigate to either dashboard page and click the download icon on the top right to export your raw data.

You will receive an email once the export is complete.

From there you can download the CSV file to your computer and open it in Google Sheets or Excel.

Export contents

In the vacancy dashboard export, each row will represent a position or vacancy. You will see the job title, school, categories, hiring season, FTE, the hired candidate's name and email address, as well as any of the notes associated with the vacancy. Filtering within this report offers you the ability to analyze information like vacancy trends compared by school, job category or hiring season.

In the pipeline dashboard export, each row represents an application. This means there may be multiple rows per candidate if they have multiple applications.

Note: If your organization has access to Nimble's Prospects module, you will see both prospects and candidates listed in the pipeline export. If the prospect was converted to a candidate, the export will include a line item for their prospect data, including the date they were converted to a candidate, as well as a line for each application associated with their candidate profile.

All schools tagged with existing routings on a job will be listed for any applications in a pre-hiring pool status at the time of the export. For candidates in a post hiring pool status, you will see only the schools where that candidate has a school application. All schools will be shown in alphabetical order and separated by a semicolon.

Users will also see each time a candidate was moved to a different status in their pipeline and the date the candidate was moved. Analyzing this information will help you get a better sense of your average time to fill, which you can filter by job category, schools, hiring season, or certain date ranges.

It's worth noting that you will not see individualized demographic data in the export, as this candidate information can only be presented in aggregate. However, Super Admin have the ability to view and filter subsets of the demographic data across the pipeline dashboard charts, including the on the source and conversion rate charts.