Pipeline builder
Compose resume, questionnaire, assessment and other module types into one ordered pipeline. Pin a version so in-flight candidates are unaffected by edits.
Pin the rounds, invite candidates, and review a shortlist where each dimension carries reasoning, evidence and confidence.
These parts of boson run end to end today.
Compose resume, questionnaire, assessment and other module types into one ordered pipeline. Pin a version so in-flight candidates are unaffected by edits.
See candidates ordered by a per-job score with the dimension breakdown behind it, including how much of the result comes from stub or low-confidence rounds.
Each dimension carries reasoning, evidence, confidence and provenance. Open a score to see the quote, answer or event that produced it.
A resume is graded against the job description across relevance, technical depth, communication and role fit. Quotes are verified against the source text before they are shown.
Written questions in the candidate portal. Choice answers and required-field checks are deterministic; free text is graded with structured LLM output, evidence and confidence.
Multiple-choice and SQL questions with deterministic scoring. The candidate SQL preview runs read-only against a throwaway in-memory database.
Candidates get one clear next step, a visible deadline, autosave, reconnect handling and plain-language status. Consent is collected before AI evaluation starts.
Separate consent per recording type, access logs, retention dates and a deletion-request path in the candidate portal. Audio and editor replay are only captured after their own consent; webcam is not offered today.
Ask Yoga to draft a job, suggest a form or pipeline, explain a scorecard or compare candidates. Reads run directly; every write arrives as a proposal the recruiter applies.
The workflow uses the rounds that are available today. The roadmap list stays separate.
Choose the modules that predict performance for the role and put them in order.
The pipeline builder composes resume, questionnaire, assessment and other module types into one ordered pipeline. Use the rounds your team can review with evidence.
Pin a version so in-flight candidates are unaffected by edits.
Editing a pipeline does not have to change an application already in flight. Save the next version and keep candidates on the rounds they started.
Invite one candidate to a single module, or share a public link with optional expiry and a use cap.
Candidates get one clear next step, a visible deadline, autosave, reconnect handling and plain-language status. Consent is collected before AI evaluation starts.
See candidates ordered by a per-job score with the dimension breakdown behind it.
The shortlist includes how much of each result comes from stub or low-confidence rounds, so your team knows which scores need a closer look.
Open a score to see the reasoning, evidence, confidence and provenance behind it.
Each dimension carries reasoning, evidence, confidence and provenance. Yoga can explain a scorecard when a teammate asks how a result was produced.
These modules are still being built. They are not part of the workflow above.
A timed coding round with test-case scoring, editor replay, soft anti-cheat flags and process grading. The sandbox needs Judge0 and is not live yet.
Open-ended design answers with a text and/or diagram deliverable. The grader is still a stub, so no system design score is trusted yet.
Funnel and drop-off per module, score distributions, time in stage, cost per candidate and a needs-review queue. In progress.
Human-labelled calibration sets, agreement metrics, re-grading on rubric changes, and score distribution reports where lawful group data is available. Coming soon.
Use the pipeline builder, ranked shortlist, evidence-backed scorecards, resume, questionnaire, assessment, candidate portal, consent controls and Yoga today.