Stop duct-taping your interview stack.

Before

Define Your Criteria

Set the competencies, skills, and benchmarks required for the role. ScreenStack uses these criteria to guide AI follow-ups, real-time analysis, and post-interview scoring.

During

Interview with Intelligence

Conduct live video interviews with a built-in code editor, whiteboard, and domain simulators. AI suggests follow-up questions in real time testing not just what candidates say, but what they can demonstrate.

After

Evidence-Mapped Feedback

Every response, code submission, and whiteboard sketch maps back to your hiring criteria. Ask AI deeper questions about any part of the conversation to uncover what you missed.

Native Video Conferencing

We own the call. No bots, no plugins a full video platform with live transcription and speaker diarization, purpose-built for interviews.

Collaborative Code Editor

Live coding with syntax highlighting, execution, and real-time collaboration. Evaluate practical skills inside the call.

Interactive Whiteboard

System design, architecture diagrams, and visual problem-solving all inside the interview. AI analyzes whiteboard activity alongside the conversation.

AI Follow-up Suggestions

Real-time question suggestions based on your hiring criteria and the live conversation. Help interviewers dig deeper into what matters.

Criteria-Mapped Scoring

Every assessment links to a specific moment in the interview. Transparent, evidence-based evaluations verifiable truth, not gut feel.

Post-Interview Analysis

Ask AI questions about any part of the conversation after the interview. Compare candidates, surface missed signals, and share structured feedback.