INTERVIEW AGENT
Adaptive conversation
Following the evidence
INTERVIEW BLUEPRINT
Enterprise deal ownership
Agent
Candidate
Adaptive follow-up
Evidence captured
WHAT IS AN ADAPTIVE AI INTERVIEW?
WHO OPERATES THIS WORKFLOW
For recruiters who need structure—and candidates who deserve context
Runaa, Parikshak.ai's agent, helps recruiters prepare and manage the interview workflow inside the recruiter application. Prixx, Parikshak.ai 's interviewing agent conducts the candidate-facing conversation within the approved role criteria and interview blueprint. Hiring teams review the evidence and retain authority over progression and selection.
Swipe or scroll to compare both interview modes →
CUSTOMIZABLE FIRST STAGE
Screening Interview
Configure the questions, competencies, knockout criteria, scoring logic, language, duration, and follow-up rules around the way your team already screens.
Your criteria and question flow
Consistent first-stage evaluation
Adaptive follow-ups when evidence is unclear
DYNAMIC DEEP EVALUATION
Technical / Comprehensive Interview
Evaluate role-specific technical depth, reasoning, and applied judgment. The AI probes unclear answers, changes depth when evidence is shallow, and records why each conclusion was reached.
Role-specific technical skills
Scenario reasoning and applied judgment
Evidence-backed depth with inspectable conclusions
Build the process your role needs
01
Screening Interview
Your questions, criteria, and scoring logic.
02 · OPTIONAL
Assessment
Add stronger evidence only when the role needs it.
03
Technical / Comprehensive
Dynamic depth around role-specific capability.
04
Human Decision
Authority and final judgment stay with your team.
Screening
Strong discovery experience; little evidence of complex negotiation
Assessment
Qualification validated; procurement judgment remains inconsistent
Interview
Investigate deal ownership, negotiation decisions, and learning ability