Quality Dimensions and Go-Live Readiness for AI Agents

TestMu AI scores every agent conversation across a set of quality dimensions, applies the pass/fail thresholds you configure, and rolls the results into a Green, Yellow, or Red go-live verdict. This page explains what the platform measures, how thresholds work, and how the production readiness verdict is decided.

How the Platform Scores Conversations

---

Every completed conversation, voice or chat, is scored by the evaluation engine across a set of quality dimensions. Each dimension is scored on a normalized 0.0 to 1.0 scale, with configurable pass/fail thresholds per project.

The exact set of metrics depends on the agent type. Chat and voice agents are scored across 9 quality metrics, and phone agents across 30+ call metrics.

Commonly scored dimensions include the following.

Quality Dimensions
Hallucination Detection	Bias Detection	Response Quality
Context Awareness	Completeness	Conversation Flow
User Satisfaction	Intent Recognition	Multi-Turn Reasoning
Error Handling & Recovery	Consistency	Proactive Behavior
Compliance & Governance	Data Privacy	Security Posture
Escalation Accuracy	Personality & Tone	Audit Logging Quality

Configure Metric Thresholds

---

Each project can define custom minimum thresholds per dimension. A regulated deployment might require a Compliance score of at least 0.95 and a Data Privacy score of at least 0.98, while a consumer chatbot might prioritize Conversation Flow and User Satisfaction at a lower floor.

Threshold profiles are version-controlled and can differ across environments such as development, staging, and production. A conversation passes a dimension when its score meets or exceeds the threshold you set for it.

Read the Go-Live Readiness Verdict

---

The Go-Live Assessment aggregates results across all evaluated scenarios and dimensions into a three-tier production readiness verdict.

Verdict	Meaning
🟢 Green	All critical thresholds met. The agent behaves consistently across tested scenarios. Cleared for production.
🟡 Yellow	Most thresholds met; one or more secondary metrics fall below target. Conditional approval with identified risk areas to monitor.
🔴 Red	One or more critical thresholds not met. Specific failure categories are surfaced for remediation before production.

Each verdict carries an overall aggregate score and a confidence level, plus a pass/fail breakdown across the behavioral test categories.

Confidence Levels

The confidence level tells you how far to trust the verdict, based on how many scenarios backed it. A Green verdict at High confidence is a stronger signal than the same verdict at Low confidence.

Confidence	Evaluations behind the score
High	100 or more
Medium	50 to 99
Low	20 to 49
Very Low	Fewer than 20

For compliance and hallucination metrics especially, raise the scenario count until confidence is High before making a deployment decision.

Behavioral Test Categories

---

Generated scenarios are organized across sixteen behavioral categories, so a run covers the full spread of agent capabilities and failure modes rather than only the happy path.

Test Categories
Conversational Flow	Intent Recognition	Context & Memory
Multi-Turn Reasoning	User Experience	Personality & Tone
Proactive Behavior	Multimodal Interactions	Third-Party Integration
Error Handling	Consistency	Security
Compliance & Governance	Data Privacy	Performance
Recovery Mechanisms

The Go-Live verdict reports pass/fail rates per category, so a Yellow or Red result points at the specific category to fix.

Track Cost and Usage

---

The platform tracks per-test execution costs, such as call minutes consumed and AI evaluation compute, and aggregates usage at the project, suite, and organization level. This gives teams budget visibility and lets them attribute testing costs across products or internal teams.

Related TestMu AI Guides

---

• See how the platform runs an evaluation end to end, from context to verdict.