Simulation

A Simulation in Evalion represents an individual conversation interaction between a persona and your AI agent within a specific scenario context. Simulations are the fundamental execution units that generate realistic conversation data for performance evaluation and analysis.

Simulation Components

Every simulation consists of several key elements:

1. Scenario Context

The specific testing situation that defines the conversation framework:

• User situation: The problem or need the persona brings to the interaction.
• Expected outcomes: What should be accomplished during the conversation.

2. Persona Behavior

The personality characteristics that guide how the simulated user behaves:

• Communication style: How the persona expresses themselves and responds.
• Behavioral patterns: Patience level, question frequency, and interaction preferences.
• Consistency: Maintained personality traits throughout the conversation.

3. Agent Response

Your AI agent's performance during the interaction:

• Conversational flow: How well the agent manages the dialogue progression.
• Goal achievement: Success in addressing the persona's needs and scenario requirements.
• Technical performance: Response timing, audio quality, and system reliability.

Simulation Execution

Simulations are automatically created when test suites execute. During execution, simulations follow a structured process:

1. Initialization

The simulation environment is prepared with scenario and persona parameters, ensuring both components are properly configured before interaction begins.

2. Conversation Flow

The persona initiates or responds to agent communication in accordance with their defined behavioral patterns while pursuing scenario-specific goals.

3. Data Capture

Complete conversation data is recorded, including audio, transcript, timing information, and technical performance metrics.

4. Completion Analysis

The simulation concludes when scenario objectives are met, the conversation naturally ends, or technical limits are reached.

Simulation Results

Each simulation generates comprehensive data for analysis:

Conversation Data

• Audio recording: Complete conversation with playback capabilities.
• Transcript: Timestamped dialogue showing exact conversation flow.
• Technical metrics: Response latency, call duration, and quality measurements.

Performance Assessment

• Metric evaluation: Results for all configured semantic and technical metrics.
• Success determination: Pass/fail status based on defined thresholds.
• Detailed scoring: Granular performance data for improvement analysis.

Analysis Insights

• Conversation breakdown: Detailed examination of interaction quality.
• Failure identification: Specific points where performance fell short.
• Improvement recommendations: Targeted suggestions based on simulation results.