Build a strong foundation for data quality
Now that you’ve been regularly using Greenhouse, it’s time to ensure your data hygiene practices are in order for long-term reporting quality. These best practices will help you achieve more accurate reports and workflows for a better overall hiring process:
Utilize custom fields
Capture structured data relating to jobs, offers and candidates because better data empowers your team to make better decisions. Customers on our Advanced and Expert can also utilize custom user fields, custom opening fields and custom application fields.
Common examples of data sets to capture:
• Jobs – salary band, manager, projected hire month
• Candidates – current salary, visa status, languages spoken
• Offers – offer expiration dates, options, bonuses
Assign the right hiring teams
Always designate the correct recruiters, coordinators and hiring managers for each job so tasks in Greenhouse are reliable and actionable for each team member.
Use this guide to learn how to set up your hiring teams in the app.
Use unique tracking links
Leverage unique job post URLs wherever you’re sharing roles so you can track where your candidates are coming from and identify top sources.
Read our how-to article on creating and using tracking links.
Clean up job stages
Over time, poor hiring stage management can lead to inconsistent, outdated interview plans and inaccurate reports. To get ahead of this, make sure your entire organization is using a consistent interviewing process.
Check out this article for helpful tips and best practices to consider when managing job stages.
Require unique requisition IDs for each job
Track individual jobs based on alphanumeric naming conventions to better organize your data. As you continue to scale, this habit will help optimize your reporting efforts and facilitate effective communication with cross functional teams at your organization about specific openings.
Follow these steps to enable req ID in the app and make it a required field for all jobs.