Starred

Starred automatically collects all Candidate and Hiring Manager Feedback and shows you how to improve your Candidate Experience.

Customer-preferred

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Developer Starred
Partner implementation fee
This is a fee paid to the partner to implement the integration.
No
Company sizes supported 101-1,000, 1,001-10,000, 10,000+
Regions supported North America, EMEA (Europe, Middle East, Africa), APAC (Asia Pacific), South America
Languages supported
These languages are supported by the integration partner, but may not necessarily be supported by Greenhouse.
Chinese, Croatian, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Japanese, Korean, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swedish, Thai, Turkish, Vietnamese

Make data-informed decisions by unlocking powerful Candidate Experience insights

Starred is the Greenhouse Customer-Preferred Candidate Experience Analytics solution that collects automated, real-time feedback from your (rejected, withdrawn, and hired) candidates, hiring managers, and recruiters.

The Starred dashboards do the analysis for you and help you prioritize next steps. Our no-code integration pulls fields from Greenhouse which allows you to segment your insights on all levels, including recruiter, department, job, location, and more. You’ll also have access to real-time benchmark data.

Our respondent-friendly surveys are customized to your branding and tone of voice, resulting in the highest response rates.

Finally, with our DEI module, based on your EEOC data, Starred allows you to make inclusive hiring accountable.

 
Starred and Greenhouse: Candidate Experience Survey Integration

Features

Customized and personalized surveys

Send surveys to your rejected -, withdrawn -, hired candidates, hiring managers and recruiters at any stage of the process. You decide what to ask and when. Create your own or pick a survey from our template gallery. Customize your branding and tone of voice, add up to 30 languages, and receive real-time feedback at an average response rate of 30%.

Customizing and personalizing your candidate surveys will see your response rates skyrocket. Customizing and personalizing your candidate surveys will see your response rates skyrocket.

Data made actionable

You need answers, simple as that. We don't overwhelm you with excessive data sheets. The Starred dashboards translate incoming feedback to clear and prioritized next steps that will maximize impact. Our role-based dashboards offer insights specific to members of your team.

Easy to understand dashboards tailored to different roles in your team Easy to understand dashboards tailored to different roles in your team

Data segmentation and benchmarking

In order to understand what good performance looks like, you need segmentation and benchmarking. Starred allows you to filter Candidate Experience data on all fields from Greenhouse and drill down into where you can improve, and where you are excelling. Our industry benchmarks let you compare your results against your peers and work towards a competitive advantage.

Advanced data segmentation and benchmarking will help you spot outliers Advanced data segmentation and benchmarking will help you spot outliers

Hiring manager and recruiter experience

Three ingredients for a successful recruitment team are happy candidates, satisfied hiring managers, and engaged recruiters. Get a 360 experience view of your recruitment operations by collecting insights from not only your candidates but also your hiring managers and recruiters. Identify gaps in the partnership and work towards smooth cooperation.

Measure Hiring Manager Satisfaction and Recruiter Engagement Measure Hiring Manager Satisfaction and Recruiter Engagement

Starred and Greenhouse Integration

Connect Starred and Greenhouse in minutes. Build your own workflows to make sure each candidate gets a personalized survey invite in their language at exactly the right time. No technical support is needed. Add delays, and exclusions, and pull fields from your ATS for data filtering.

You decide what candidate gets what survey at what moment You decide what candidate gets what survey at what moment

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