Skip to main content
A scorecard rates a candidate against the requirements of the job they applied to. It gives your team a consistent way to compare candidates and to record structured interview feedback in one place.

​
Build the scorecard template first

Scorecards are based on a template that belongs to the job: the list of criteria in the Scorecard section of the job’s Overview tab. Build it there before scoring candidates, either by hand with the Edit Scorecard quick action, or by letting AI create it from the job’s sourcing criteria with Regenerate Scorecard.
The Scorecard criteria list on a job's Overview tab

​
Add a scorecard

From a candidate’s application, open Quick Actions and choose:
  • Add Scorecard to create a scorecard you fill in yourself, or
  • Generate Scorecard to have AI fill it in first.
Quick Actions with Add Scorecard and Generate Scorecard

​
Generate a scorecard with AI

Generate Scorecard opens a dialog where you pick a language. The AI then rates and comments on every attribute in the scorecard, based on the candidate’s profile and the vacancy details.
The Generate scorecard with AI dialog

​
Read and edit a scorecard

The scorecard is a table with three columns:
  • Criteria: the requirements pulled from the job, such as “Minimum 5 years B2B sales experience”.
  • Score: a color-coded rating of how well the candidate meets each criterion.
  • Comments: the reasoning behind each score.
AI-generated scores and comments are a starting point. You can edit any score or comment, leave a comment blank, and add an overall Comment at the top of the scorecard from your own interview.
A completed scorecard with criteria, scores, and comments
Every other place Spott uses AI is mapped out in AI in Spott.