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Core Feature

Multi-Axis Scoring

After every practice session, an AI evaluator grades your conversation across multiple weighted behavioral dimensions. No guesswork. No subjective reviews. Just precise, framework-based analytics that show exactly where you stand.

See Your Scores
Screenshot: Radar Chart Debrief
Evaluation Dimensions

Scored Across Every Axis

Each training track defines its own set of weighted grading axes. Your score on each axis is calculated independently, then combined into a weighted overall score. Axes adapt to the track you are training on.

Rapport Building

W: 0.85

Measures your ability to establish trust, mirror behavior, and create genuine connection with the subject during conversation.

0 78 100

Behavioral Profiling

W: 0.90

Evaluates how accurately you identify personality traits, communication patterns, and motivational drivers during interaction.

0 65 100

Conversational Influence

W: 0.80

Scores your ability to steer conversation direction, plant ideas, and guide the subject toward desired outcomes naturally.

0 82 100

Emotional Control

W: 0.75

Assesses your emotional neutrality under pressure, ability to manage reactive responses, and maintain composure in high-stakes exchanges.

0 71 100

Frame Management

W: 0.70

Tracks how effectively you establish, hold, and shift conversational frames to maintain control of the interaction dynamic.

0 59 100

Tactical Empathy

W: 0.85

Measures your deployment of calibrated empathy to build leverage, label emotions, and validate the subject's perspective strategically.

0 74 100
Evaluation Pipeline

How Scoring Works

01

Complete a Practice Session

Engage in a real-time voice conversation with an AI persona. Each scenario is designed to test specific behavioral skills from our methodology.

Input: Full conversation transcript
02

AI Analyzes Your Conversation

An LLM evaluator receives the transcript alongside weighted grading axes specific to your training track. It scores each dimension independently using behavioral science criteria.

Process: Weighted multi-axis evaluation
03

Review Your Debrief

View your results on an interactive radar chart. Drill into per-axis scores (0-100), read detailed AI feedback on each dimension, and track your weighted overall score against the 70+ passing threshold.

Output: Radar chart + feedback report
Tactical Advantages

Why Multi-Axis Scoring Matters

Weighted Multi-Dimensional Analysis

Not just pass or fail. Each behavioral dimension carries a specific weight (0.00-1.00) that reflects its importance in your training track. Your overall score is a true weighted average.

Precision: Weighted Average

Instant AI Feedback

Grading triggers automatically the moment your session ends. No waiting for human reviewers. Primary and failover LLM providers ensure reliable evaluation every time.

Speed: Automatic Post-Session

Interactive Radar Visualization

Your debrief page features a Chart.js radar chart that maps all your axis scores at a glance. Instantly spot strengths, weaknesses, and areas that need targeted practice.

Visual: Radar Chart + Detail

Track-Specific Criteria

Every training track defines its own grading axes and weights. Negotiation tracks emphasize influence and frame management. Profiling tracks prioritize behavioral observation accuracy.

Config: Per-Track Axes
12+ Scoring Axes
Weighted Analysis
Instant Results
Detailed Feedback Reports
Evaluation Ready

Ready to get
scored?

Start your first practice session and receive an instant multi-axis debrief. See exactly where your behavioral skills stand across every dimension.

Calibration Required
Begin Evaluation

NO_CREDIT_CARD // FREE_TIER_AVAILABLE // INSTANT_SCORING