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Overview: How Voice AI Mock Interviews Work
Guided Voice‑AI simulations give students realistic practice with interview scenarios. They build confidence, refine communication skills, and receive actionable feedback in a safe environment before engaging with real employers.
Key Features
Realistic Simulation: Students practice answering common and role‑specific interview questions.
Adaptive Prompts: Follow‑up questions adjust based on student responses, mimicking real interview dynamics.
Skill Development: Focus on clarity, confidence, and professional storytelling.
Feedback Integration: Students receive structured feedback on strengths and areas for improvement.
Conversation Flow
Preparation Stage: Students review the role type and interview context, then set personal goals for the simulation.
Mock Interview Session: Voice‑AI conducts a structured interview, asking baseline and adaptive questions. Students practice articulating experiences and skills.
Debrief & Feedback: Students receive immediate feedback on performance, including communication style, confidence, and alignment with role expectations.
Feedback & Analytics
Performance Snapshot: Summarizes student confidence, clarity, and professionalism.
Competency Alignment: Tracks growth in NACE‑aligned competencies, including communication, critical thinking, and professionalism.
Response Quality Analysis: Highlights strong answers and areas needing refinement.
Progress Tracking: Shows improvement across multiple mock interview sessions.
Example in Practice
A student preparing for a marketing role completes a mock interview. In the session, they practice answering behavioural questions about teamwork and creativity. Feedback highlights strong storytelling but notes the need for more concise responses. In a follow‑up session, the student demonstrates improved clarity and confidence.
