We run an early stage applicant tracking system and see ourselves broadly as a rejection engine. Something like 95% of the activity on our system relates to can

We run an early stage applicant tracking system and see ourselves broadly as a rejection engine. Something like 95% of the activity on our system relates to candidates who end up being rejected. Since our assessment data is structured our current iteration of the product uses that to create value for rejected candidates, informing them where they were strong or weak in comparison to the rest of the group, and showing them some aggregate scoring. It goes down very well with hiring managers, who typically don't have the time to respond in detail or at all to rejected candidates, and (for the most part) goes down very well with candidates.