Stop guessing.
Start evaluating.
Bring role-specific questions, candidate work, live interviewing, and AI assessment into one place. Your team sets the bar and makes the hiring decision.
In development · Built with company workflows in mind
From the first question
to a considered decision
Configure the round, see how candidates work, and review their answers with AI scores and your own judgment.
Create or clone an interview. Set the role, skills, experience, question mix, difficulty, and duration, then assign a moderator.
Generate coding, debugging, theoretical, and multiple-choice questions around the role and skills you want to assess.
Invite the candidate to a browser workspace with code, Markdown, and whiteboard tools. Questions and submitted answers stay together.
Observe candidate work, take notes, and prepare follow-ups. Add questions next or to the queue; preview and drop queued, unanswered ones.
Review scores and remarks alongside submitted answers. Inspect strengths, gaps, and the overall assessment in Insights.
Add your own scores, comments, and hiring recommendation. AI supports the assessment; your team owns the decision.
A shared workspace.
A clearer view of the candidate.
Current capabilities, from interview setup to human review.
Follow the candidate's code and whiteboard as they work. Keep the question and interviewer tools alongside the workspace.
Configure paste restrictions and fullscreen requirements. Review browser activity signals with the candidate's work.
Use skills, experience, difficulty, and available time to shape the question set. Include debugging tasks and sample inputs.
Inspect AI scores and remarks, then add human scores and comments alongside the candidate's submitted answer.
A code editor, Markdown answers, and an Excalidraw whiteboard. Editable dictation for theoretical answers is in development.
Turn suggested next steps or your own instructions into a follow-up draft. You choose what to ask next and what to queue.
Enable programming hints and code-quality feedback on readability, security, and best practices. Candidates also have a personal scratchpad.
Browser activity.
With context, not assumptions.
Review time away and focus changes alongside the answers. These are signals for the interviewer to consider, not a cheating verdict.
Apply the interview's paste setting in the candidate editor. Set the expectation for how candidates should work.
See recorded focus changes and time away in the activity view, with timestamps and durations for review.
Ask candidates to work in fullscreen. If they leave, prompt them to return and record the time outside it.
Turn programming hints and code-quality feedback on or off. Quality feedback covers style and practices, not correctness.
Different roles.
A shared interview workflow.
Match the question format to the work you want to understand. Here are ways to structure technical, visual, and written rounds.
Assess coding, debugging, and system-design reasoning through code and whiteboard answers.
TechnicalSketch flows, discuss product decisions, and explain trade-offs on a shared whiteboard.
VisualExplore written pitches, objection-handling approaches, and customer scenarios with interviewer-led questions.
WrittenExplore prioritisation, process decisions, and written analysis through questions shaped around the role.
WrittenAI recommends.
You decide.
Read the submitted answers, compare them with AI feedback, and add your own scores and hiring recommendation.
Try a recommendation. This example does not save data.
Inspect answer scores and remarks, then read the overall evaluation. Keep the candidate's actual work in view.
Add human scores, written comments, and a hiring verdict. Your judgment remains part of the assessment.
Review saved answers and session activity, including submissions, hint requests, and code-quality analyses.
See input and output tokens by provider, plus transcription minutes, in the interview's usage card.
See what Eval does.
Explore where it's going.
Explore the current product and the proposed roadmap. ATS screening workflows and conversational AI interviews are planned next steps.