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Interview Analysis AI Agent

Analyzes interview recordings (video or audio) against your competency matrix. Generates detailed candidate evaluation in 2 minutes. Stop watching hour-long interviews.

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How interview analysis usually works

Pretty much every company has the same hiring workflow.

Recruiter does initial screening call — 30 to 60 minutes. Asks about background, skills, experience. Records it or takes notes.

Then recruiter writes up their impression: "Candidate seems good. Strong Python skills. Nice communication." Passes to hiring manager.

Hiring manager gets this summary, maybe watches the recording if they have time (they usually don't). Makes a decision: advance to next round or pass.

But here's what's missing: systematic evaluation against your actual requirements.

Recruiter is making judgment calls. "Strong Python skills" — compared to what? Did they assess all the competencies from your matrix? Or just the ones they remembered to ask about?

And if hiring manager watches the recording, they're sitting through 45 minutes of conversation to extract 5 minutes of relevant signal.

Result:
Inconsistent screening. Great candidates rejected because recruiter missed asking the right questions. Weak candidates advancing because they said buzzwords that sounded good.

Hiring manager has to either trust recruiter's gut or spend hours reviewing recordings. Neither scales well.

What the AI agent does

Here's the thing — this agent works in tandem with the Competency Matrix Agent. You need the matrix first. Then this agent evaluates candidates against it.

1

Matrix upload

You load the competency matrix you created (using the Competency Matrix Agent or manually).

System now knows exactly what to look for:

  • Which skills matter
  • What level is acceptable for each
  • What's critical vs nice-to-have
  • How to weight different requirements

This is your evaluation rubric.

2

Interview recording upload

Upload the interview recording — video or audio, doesn't matter.

This is typically the recruiter's screening call. 30-60 minutes. Could be Zoom recording, phone call recording, whatever you have.

3

Transcription + analysis

Agent transcribes the entire conversation. Then analyzes it.

If it's video, agent can also analyze:

  • Candidate's confidence and communication style
  • Body language (optional, if you want it)
  • Engagement level

But the main work is analyzing what was said.

4

Competency-by-competency evaluation

Agent goes through your competency matrix item by item:

Python Programming (Critical requirement)
├─ Transcript moments where discussed: [timestamps]
├─ What candidate said: [relevant quotes]
├─ Assessment: "Candidate mentioned 5 years of Python experience, 
   discussed Django framework usage, provided specific examples 
   of optimization work"
└─ Rating: Above acceptable ✓

Communication Skills (High importance)
├─ Transcript moments: [timestamps]
├─ What candidate said: [quotes]
├─ Assessment: "Clear articulation of technical concepts, provided 
   context without prompting, answered questions directly"
└─ Rating: Above acceptable ✓

DevOps/Docker (Medium importance)
├─ Transcript moments: [timestamps]
├─ What candidate said: [quotes]
├─ Assessment: "Mentioned basic Docker usage but couldn't discuss 
   orchestration or CI/CD implementation"
└─ Rating: Acceptable ⚠️

For every skill in your matrix, agent finds the relevant parts of the interview and evaluates.

5

Gap identification

Agent flags what the recruiter didn't ask about:

"Warning: Critical requirement 'Database design skills' was not discussed in interview. Cannot evaluate."

So you know what's missing. Can ask in next round or reject candidate if it's critical.

6

Overall scoring

Agent generates summary score:

Critical requirements: 3/3 met ✓
High importance: 4/5 met (1 not discussed)
Medium importance: 2/3 met
Low importance: Not evaluated

Overall: Strong candidate, recommend advancing to technical interview

Objective evaluation based on your criteria, not recruiter's gut feel.

7

Report generation

Full report generated in 1-2 minutes:

  • Executive summary (advance or pass + why)
  • Competency-by-competency breakdown
  • Key quotes from candidate
  • Gaps in evaluation (what wasn't covered)
  • Recommended next steps

Hiring manager reads the report (5 minutes) instead of watching 45-minute recording.

N8N Interview Analysis Workflow - Automated interview transcription and evaluation
Automated workflow that transcribes interviews and evaluates candidates against competency matrix

What you actually get

Before:

Recruiter watches 45-minute interview, writes subjective summary. Hiring manager either trusts it or watches recording themselves. Inconsistent evaluation. No systematic comparison between candidates.

After:
  • Objective evaluation against competency matrix
  • Every skill assessed (or gaps flagged)
  • Full report in 2 minutes instead of 45-minute watch
  • Consistent scoring across all candidates
  • Easy comparison (Candidate A: 8/10 critical skills, Candidate B: 6/10)

Who should use this:

Honestly — give it to your recruiters, not just hiring managers.

Recruiter uploads their own screening call recording. Gets immediate feedback:

  • "You assessed Python skills ✓"
  • "You missed asking about database design ✗"
  • "Communication evaluation: candidate scored well ✓"

Now recruiter knows if they got enough signal to make a decision, or if they need to do a follow-up call.

Quality of screening goes up. Fewer bad candidates make it to hiring manager's time.

Real example:

Tech company hiring engineers. Hiring manager was spending 10+ hours per week reviewing recruiter screening calls.

We implemented Interview Analysis Agent:

Recruiter conducts screening (same as before). Uploads recording. Agent generates report in 90 seconds.

Hiring manager reviews reports (5 minutes each) instead of watching 45-minute recordings.

Result:

  • Hiring manager time saved: 8 hours per week
  • Screening consistency improved (recruiter now sees gaps in real-time)
  • Better candidates advanced (objective scoring revealed patterns recruiter missed)
  • Bad hires reduced by ~40% in first 6 months

Bonus: Recruiter got better at interviewing because they got instant feedback on what they missed.

Time Comparison: 45 minutes manual review vs 2 minutes AI analysis
Dramatic time savings: 45 minutes of manual review reduced to 2 minutes with AI analysis
Interview Analysis Report showing candidate evaluation and scoring
Sample generated report with competency-by-competency evaluation and overall scoring

Requirements

For the agent to work, we need:

From you:

  1. Competency matrix (created with Competency Matrix Agent or provided by you)
  2. Interview recordings (video or audio)
    • Zoom recordings work
    • Phone call recordings work
    • Any format that can be transcribed
  3. Recording storage/upload access
  4. Sample interviews (2-3 good ones, 2-3 weak ones) for initial calibration

From us:

  1. System setup and matrix integration — 1-2 weeks
  2. Transcription engine configuration
  3. Evaluation logic customization for your matrix
  4. Report template design
  5. Training for recruiters on using the system
Timeline: 2-3 weeks from kickoff to production use
Cost: Development setup + per-interview processing fee (or monthly unlimited, depending on volume)

As long as you have interview recordings and a competency matrix — we can build this.

Upload Interface for interview recordings
Simple upload interface for interview recordings

Want this for your hiring process?

Look, interview analysis agent isn't magic. It's systematic evaluation of what candidates actually said, mapped against what you actually need.

Difference: hiring manager saves hours per week. Recruiter gets instant feedback on screening quality. Candidates are evaluated consistently.

And honestly — give this to your recruiters first. They'll screen better, which means less wasted time for everyone.

Let's look at your hiring process. Maybe your screening is already super consistent. Maybe hiring managers are drowning in interview recordings. Either way — worth a conversation.

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