AI Candidate Match Score
AI Candidate Match Score grades each applicant against scoring criteria you've reviewed and approved for that job, and gives you a score out of 10 plus a written verdict, strengths, concerns, and suggested interview focus areas.
What you get
A score out of 10 for every candidate on the job, based on the criteria you approved
A verdict explaining the score in plain English, plus strengths, concerns, and interview focus areas
Automatic scoring for new applicants and your existing pipeline — when you turn it on, Pinpoint scores every candidate already in the pipeline who has a CV attached (excluding rejected and hired)
Score visibility everywhere it's useful — applications table, application page, split view, interview view, reports, insights, and the API
Turning it on for a job
AI Candidate Match Score is configured per job through a guided 3-step setup.
Step 1 — Answer Questions Answer a set of questions about the role. Your answers shape the criteria the AI suggests in the next step
Step 2 — Review Criteria The AI generates scoring criteria from your answers. Each criterion appears as an editable card with a title, description, importance level (Must have, Preferred, or Nice to have), and a note explaining why it was suggested. Edit any criterion inline, change its importance, add your own, or remove ones that don't apply.
Step 3 — Test AI Score Pick up to 5 candidates and run scoring as a dry run. You'll see the score, verdict, strengths, and concerns for each — so you can sanity-check the criteria before activating for everyone. If it doesn't feel right, go back, tweak, and re-test. When you're happy, hit Activate.
Where you'll see scores
Where | What you'll see |
Applications table* | Optional "Candidate Score" column — turn it on from the column picker. Click any score for a popover with the verdict. |
Application page | An AI Scorecard on the Overview. Click into it for the full verdict, strengths, concerns, and interview focus. |
Split view | Same AI Score section, in the side panel. |
Interview view | The candidate's AI Score appears in the interviewer info panel. |
AI Score tab on the job* | A dashboard with score distribution, applications processed over time, processing status, and summary stats. |
Reports | New AI Score and AI Verdict columns on the candidate report. |
Insights | An Average AI Score metric and an AI Score Status filter for charts. |
*Applications Table
*AI Score tab on the job
Score statuses
Status | What it means |
Completed | Scoring succeeded — score and verdict are available. |
Pending | Scoring is in progress. |
Failed | The scoring service couldn't produce a score for this candidate. |
Skipped | Usually because the candidate has no CV attached. |
Pausing or removing scoring
Pause — Pause scoring on a job at any time. A warning callout on the AI Score tab makes it clear new applications won't be scored while paused. Existing scores stay visible. Resume any time.
Delete — Remove the AI Scoring setup for a job entirely if you want to start from scratch.
Who can configure it
The AI Scoring Manager role is required to set up or edit scoring criteria. Anyone who can normally view a candidate can see the score — only AI Scoring Managers can configure it. Interviewers always see the score in the interview view.
Privacy
Scoring inputs and outputs are not used to train upstream AI models.
Tips for better results
Spend time on the criteria — better criteria mean better scores. Use the importance levels to reflect how the role actually weights things.
Use Test Scoring — running on 5 known candidates is the fastest way to check whether the criteria match how you'd actually evaluate the role.
The score is a starting point — the verdict, strengths, and concerns are what make it useful in practice. Don't just sort by score; read the reasoning.