AI Interviewer
6.2/ 10
Each requirement is rated 0 to 10 and weighted by the importance you set. The overall is the weighted average.
How we score
Choose an assessment type to see how its result is produced. Every card is a sample you can change.
Methodology checked 30 Sep 2026.
Each requirement is rated 0 to 10, then weighted by its importance.
Illustrative sample. Change a weightage or drag a score.
A plain average of the 4 scores would be 7.3.
(16.0 + 18.0 + 18.0 + 10.0) ÷ (4 + 3 + 2 + 1) = 6.2
Read the evidence behind each rating before making a hiring decision.
Requirements and importance set by your team.
Interview evidence assessed against each requirement.
Ratings multiplied by importance, then averaged.
Check the recording, reasoning and individual ratings.
A rating against the role's criteria.
The overall summarises the requirements you set. It gives more influence to the ones you marked most important.
6.2 is not a 62% chance of success or a hiring recommendation. Review the individual ratings and evidence.
Compare candidates within the same role and criteria. A different requirement list changes what the number means.
AI Interviewer, Role-Play and CV Evaluation use the weighted overall above. The others report their result in their own way.
6.2/ 10
Each requirement is rated 0 to 10 and weighted by the importance you set. The overall is the weighted average.
7.6/ 10
Scored 0 to 10 against the criteria you set, weighted by importance, from the transcript of the spoken conversation.
8.4/ 10
Each requirement is scored 0 to 10 against your criteria and the overall is weighted by importance. The AI's written reasoning is shown for each requirement.
85%
Each question is marked right or wrong, with no negative marking. The result is the percentage correct, for example 17 of 20 is 85%. Unanswered questions count as wrong.
13/ 13
Your code runs against test cases. Each question earns points in proportion to the cases it passes, shown as points and as cases passed, for example 13 of 13. How the Technical Test works
AI scoreNone
Your team rates the recording from 0.5 to 10 stars and can add notes. The AI only writes a neutral summary, with no score.
Open the sample report to see each one.
A Must Have contributes 4 times as much as a Good To Have.
The sample starts at 6.2. Giving all 4 requirements equal weight produces 7.3, rounded to 1 decimal place.
The weight changes the calculation. Marking a requirement Must Have does not create an automatic rejection rule.
An unevaluated requirement is recorded separately from a normal rating.
Check missing evidence before shortlisting. An unanswered requirement may need a follow-up interview.
Separate answer scores help you find relevant moments in the transcript.
Illustrative transcript
"We had a customer whose order was 3 weeks late. I called her before she called us, explained the delay, and refunded the delivery fee."
"The candidate is generally proactive with customers."
An exact transcript phrase can appear as a highlight. A paraphrase is not accepted as a quote.
Answer scores are separate from requirement ratings; they are not averaged into the weighted overall. Empty or untranscribed answers receive no answer score.
Use the score to guide your review. Read the requirement-level reasoning and check the relevant recording before deciding.
AI assessments can be wrong. Candidates can request human review through our privacy process.
Read about AI Ethics and security and privacy.

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