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60% Faster Feedback and 70% Greater Consistency
An HR technology company needed interviews evaluated with the consistency of a rubric and the speed of software. The DORIAN Group built an interview intelligence platform that analyzed live and recorded interviews, generated competency-based feedback, and connected to the applicant tracking systems hiring teams already used.
Client
Confidential
Services
Agentic AI
On This Page
The Challenge
Our Approach
The Outcome
The Challenge
Interview feedback can vary as much as the people writing it. The same candidate might receive a strong yes from one interviewer and a soft no from another, while the written debrief competes with every other demand on a recruiter’s day.
The company set out to make that process more reliable with software. The platform needed to parse live and recorded interviews, identify behavioral signals, and turn them into consistent, competency-based feedback. It also needed to fit the existing hiring workflow. If insights lived outside the applicant tracking system, adoption would become another problem to solve.
Our Approach
Build The Intelligence Layer
The DORIAN Group’s six-developer team built the product end to end, starting with a multi-LLM engine for transcript analysis. The system could identify behavioral signals, generate competency-based feedback, and produce structured candidate summaries.
Put Insights In The Hiring Workflow
The team connected the platform directly to major ATS systems so recruiters could access feedback where their work already happened. That integration made the intelligence useful at the point of decision, rather than creating another destination for hiring teams to check.
Make The Output Actionable
The platform supported live and recorded interview parsing, automated summaries, and structured insights available within seconds. The result was a clearer path from interview conversation to evaluation.
Technology: React, Python, Node.js, PostgreSQL, a multi-LLM engine, ATS APIs, and cloud infrastructure.
Build
Built a multi-LLM engine for transcript parsing, behavioral signal identification, and competency-based feedback.
Integrate
Connected the platform directly to major ATS systems so feedback landed where recruiters already worked.
Ship
Delivered a working platform in seven months, with structured insights available within seconds.
The Outcome
Evaluation consistency improved by 70%, while manual feedback time dropped by 60%. Structured insights became available within seconds, helping hiring decisions move at the pace of the interview loop instead of waiting on write-ups.
The platform has analyzed more than 25,000 interviews for over 150 HR teams.
They created an interview intelligence platform that has completely transformed our hiring process. The AI insights are incredibly accurate and have made our evaluations more consistent and efficient.
Head of Talent Acquisition