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Spark Hire

HR
Velocity6.3

Spark Hire is wiring the job description into every AI judgement it makes about a candidate

recruitingvideo-interviewingai-evaluationcareers-sitescreeningats
◆Current state
Spark Hire runs interviewing and recruiting across two products, Meet and Recruit, and has been shipping steadily through August. The AI work is the centre of gravity: an AI Notetaker, suggested interview question sets, and AI Video Review now rating candidates against the job description and scorecard with visible rationale. Around it sits pipeline hygiene — duplicate application handling, lead pipeline movement, a unified navigation that folds Assessments and AI under Settings — and now configurable application forms.
◆Where it's heading
The pattern is consistent: take a judgement a recruiter makes by hand and give the model the same context the recruiter has, then show its reasoning rather than just its score. Ratings derive from the job description when no scorecard exists, and every rated factor expands to the evidence behind it. The non-AI releases are mostly about controlling what enters the funnel — customisable forms for candidates, referrers and internal applicants, duplicate suppression, careers-site configuration without code. Both threads point at reducing the volume a human has to read.
◆Prediction
Application form fields and AI evaluation are converging on the same data, so expect the collected form answers to start feeding candidate ratings directly rather than being reviewed separately.

◆Recent moves

  1. 15d ago

    Customize your application form to fit your hiring needs

    Application forms become configurable per audience — candidates, referrers and internal applicants — with fields shown, hidden or required from company settings and code customisation available on top. It gives teams control over what enters the funnel, which is the non-AI half of the screening work this product has been doing all month. Rolling out gradually and gated to Owner or Admin.

  2. 1mo ago

    Unified navigation

    Navigation across Spark Hire Meet is reorganised, with a My Jobs section, dedicated Settings menu and Job settings renamed Assessments & AI. The rename is the interesting part — it puts AI evaluation on the same footing as assessments in the product's own information architecture.

  3. 1mo ago

    Prioritize candidates with role-aligned AI ratings and takeaways

    AI Video Review starts rating candidates against the job description, scorecard and interview questions, organising findings into pros, concerns and further review with expandable rationale. It is the clearest instance of the pattern running through this feed: give the model the recruiter's context, then show its working.

  4. 1mo ago

    Keep your lead pipeline moving

    Lead pipeline movement work, part of the funnel-hygiene thread that runs alongside the AI releases.

  5. 1mo ago

    Spend less time reviewing duplicate applications

    Duplicate application review is cut down. Same objective as the AI ratings from a different angle — reduce how much a human has to read before deciding.

  6. 1mo ago

    AI Notetaker

    ⚡ SPARK

    The AI Notetaker, which opened this cycle's run of AI work. Everything shipped since has been about giving those models more of the recruiter's context and exposing their reasoning.