Synmatch AI combines AI with human expertise to solve remote hiring's biggest problems: application volume and quality. Every applicant goes through a multi-stage pipeline: AI CV screening, async interviews, human review, and identity verification. Only vetted candidates reach your inbox with scores, interview summaries, transcripts, and contact details. First candidates delivered within 7 days. Powered by WorkMotion for compliant international onboarding.
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the async interview step is a smart move but i think adding a quick personality or culture-fit signal alongside the cv score would really help. right now everything seems heavily skills focused which is great for technical roles but could overlook great candidates who aren't great at structured interviews. even a short behavioral soft-skill rating from the human reviewer would close that gap nicely.
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@gkhanyurdam5oq Fair challenge. The skills weighting is deliberate, but you are right that it can flatten someone who interviews badly and works brilliantly.
Where we will not go is an AI-generated personality or culture-fit score. Inferring traits from a recorded interview is a design line for us, and in the EU it is close to a legal one too. Your second suggestion is the one we can build: a short written observation from the reviewer who watched the interview, sitting next to the skills summary rather than rolled into a single number.
The open question for us is whether that becomes something you can filter on, which starts to feel like scoring again, or stays as context you read. Which would be more useful to you in practice?
the async interview step is a smart move but i think adding a quick personality or culture-fit signal alongside the cv score would really help. right now everything seems heavily skills focused which is great for technical roles but could overlook great candidates who aren't great at structured interviews. even a short behavioral soft-skill rating from the human reviewer would close that gap nicely.
@gkhanyurdam5oq Fair challenge. The skills weighting is deliberate, but you are right that it can flatten someone who interviews badly and works brilliantly.
Where we will not go is an AI-generated personality or culture-fit score. Inferring traits from a recorded interview is a design line for us, and in the EU it is close to a legal one too. Your second suggestion is the one we can build: a short written observation from the reviewer who watched the interview, sitting next to the skills summary rather than rolled into a single number.
The open question for us is whether that becomes something you can filter on, which starts to feel like scoring again, or stays as context you read. Which would be more useful to you in practice?