Our machine learning algorithm automatically analyzes qualitative comments at scale, complete with sentiment and topic analysis
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Say they’ve collected insights to improve their Candidate Experience
Of time saved by automation compared to other solutions.
Say Starred is easy to use for measuring and analyzing Candidate Experience
"Starred helps with pulling valuable insights and keeping response rates high."
Talent Acquisiton teams around the world use Starred to break down complex data into simple insights
Our machine learning based algorithm seamlessly analyzes all respondent comments and summarizes topic and sentiment in a fully scalable way, saving you hours of time.
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Comments are automatically analyzed and classified as negative, neutral, or positive, so you can examine larger trends in Candidate Experience data that otherwise go unnoticed.
Our industry-specific benchmarks let you see exactly where you stand in relation to the most relevant competition. We provide you with a valuable context so you can see exactly where you stand in relation to the average for each topic.
Our Starred Priority Matrix uses Comment Analysis to instantly identify areas for improvement, highlighting what topics candidates mention the most.
