Purpose

Use this article to understand how Match score and AI Interview Score work on the pipeline page in Standalone AI Interviewer (AII). Together, these columns give you a quick view of each candidate’s overall strength for a position.

Audience

Recruiters, schedulers, and hiring managers using the Standalone AII pipeline.

Where scores appear on the pipeline

On the pipeline page, you see two separate columns for each candidate row:

• Match score shows how well the candidate’s profile fits the position.
• AI Interview Score shows how the candidate has performed (or is progressing) in AI interviews linked to this position.

Match score

The Match score column uses a 0–5 dot visualization to summarize how well the candidate matches the position.

When you select the score, a panel opens with details such as:

• Skill relevance – for example, “Strong Python and Flask skills”, “Experience with TypeScript”.
• Experience relevance – for example, “11+ years experience”, “Leadership as Architect”.

Use Match score to:

• Quickly spot candidates whose profiles are strong for this role.
• Explain why a candidate is a good match by pointing to the underlying skills and experience in the panel.

For more information, read Match score explanation.

AI Interview Score

The AI Interview Score column summarizes all AI interviewer guides linked to the position.

Per‑guide tiles in the column

For each interview guide attached to the position, the column shows a small tile in the candidate’s row. Tiles can show:

• Envelope icon – Invite sent, interview not yet completed.
• Dash (–) – No interview created for that guide.
• Numeric score (for example, 3.5 or 4.0) – AI interview completed and scored for that guide.

When you select the cell, a panel titled AI Interview Score opens. For each guide, you see:

• Guide name – for example, Technical Communication Competence.
• Interview type – for example, Profile or Functional.
• Status and metadata – date, Reviewed by line, or Invite sent if the interview is pending.
• Score – a numeric rating (for completed interviews only).

Use AI Interview Score to:

• See at a glance which candidates have completed which AI interviews.
• Compare scores across different interview types for the same candidate.

To know more about how AI Interview Score works, read Understand AI Interview Score.

Filters for Match score and AI Interview Score

The pipeline filters include dedicated options for both:

• Match score – narrow the list to candidates within specific match‑score ranges.
• AI Interview Score – narrow the list to candidates within specific AI Interview Score ranges.

Examples:

• Focus review on candidates with high match score but no AI Interview Score yet to decide who to invite next.
• Look at candidates with completed AI interviews and scores above your internal threshold when shortlisting for later stages.

How to use both scores together

A simple way to read these columns:

• Start with a Match score to understand overall profile fit.
• Then check AI Interview Score to see how the candidate performed in the AI interview(s) for this role.

By combining these two signals, you get a compact but rich view of each candidate’s strength on the pipeline without opening every profile or feedback form.