TestIQ Documentation

1. Introduction

Symplistic.TestIQ is an enterprise-grade AI Testing, Quality Assurance, and Compliance Validation platform designed for organizations deploying LLMs, chatbots, enterprise agents, and automated reasoning systems. The platform ensures that AI systems behave predictably, safely, and in alignment with business, regulatory, and compliance requirements.

The system provides:

• End-to-end test suite management
• Automated execution pipelines
• Advanced analytics (accuracy, regression, error pattern analysis)
• Explainability and traceability reporting
• Concurrency and performance testing
• Bulk import and automated test creation
• Integration with enterprise AI systems (IBM WatsonX, ContentIQ, APIs)

This documentation reflects all provided screenshots and describes TestIQ as a complete enterprise SaaS product.

Symplistic.TestIQ is an enterprise-grade platform designed to automate, validate, and continuously monitor the performance, accuracy, reliability, and compliance of AI agents and LLM-powered systems. It enables organizations to create structured test suites, define expected outputs, run automated evaluations, perform concurrency testing, and analyze regression trends across time.

TestIQ addresses the growing need for systematic AI quality assurance, providing full transparency through explainability traces, rich analytics, and automated execution pipelines.

2. Product Overview and Core Capabilities

Symplistic.TestIQ is organized around a structured testing lifecycle: authoring, executing, analyzing, and governing AI tests.

2.1 Key Capabilities

• Centralized Test Suite Repository – Manage thousands of test cases across domains.
• Flexible Test Case Types – Standard, concurrency, stress, and regression-oriented.
• Bulk Operations – CSV import, auto-generation, category-based management.
• High-fidelity Execution Engine – Seamlessly interacts with AI agent APIs.
• Explainability Engine – Deep-dive visibility into why a model passed or failed.
• Regression Intelligence – Detect flaky, failing, or degraded test cases.
• Enterprise Governance – Configurable thresholds, audit logs, source citations.
• Analytics & Metrics – Coverage, confidence, fairness, compliance, and quality KPIs.

2.2 Typical Enterprise Use Cases

• Regulated industry agent validation (banking, insurance, healthcare)
• Pre-deployment and post-deployment verification
• Continuous monitoring of AI drift and regression
• Explainability audits for compliance teams
• Stress and concurrency validation for customer-facing agents
• Vendor model comparison and benchmarking

2.1 Test Suite Management

• Create and manage multiple test suites.
• Add, edit, delete, or import test cases.
• Support for Standard and Concurrency test types.
• AI-powered auto-generation of test cases through ContentIQ.

2.2 Automated Test Execution

• Execute full test suites against any connected AI agent.
• Integration with WatsonX Orchestrate, ContentIQ agents, or custom agents.
• Real-time progress tracking.
• Support for bulk testing.

2.3 Explainability & Traceability

AI Trace view with:

• Expected answer comparison
• Actual model response
• Why the model failed/succeeded
• Source-citation verification
• Compliance, confidence, fairness, and transparency breakdowns

2.4 Analytics & Regression Tracking

• Flaky test identification
• Pass/fail trends over time
• Failure pattern analysis
• Coverage metrics
• Per-test-case historical performance

2.5 Bulk Import & Auto-generation

• Import CSV files of test cases.
• Auto-generate test cases from:
  • ContentIQ agent
  • Frequently asked questions
• Supports tagging, categories, and languages.

3. Platform Architecture & Navigation

The UI is structured into functional modules represented in the left sidebar for fast navigation.

3.1 High-Level Platform Architecture

TestIQ connects three components:

1. Frontend Platform – Web interface for authoring tests and viewing analytics.
2. Execution Engine – Runs test cases by invoking AI models via API.
3. Explainability Engine – Generates traces, reasoning breakdowns, rubrics, and compliance factors.

Additional services include:

• Concurrency load generator
• Regression tracking service
• Data ingestion & import service
• Audit & analytics service

3.2 Main Navigation Sections

• Home – Onboarding and quick actions
• Test Suites – Create, manage, and run test suites
• Test Results – Explore completed executions
• Test Analytics – Deep insights on a single run
• Regression Analytics – Long-term reliability tracking
• Settings – Configure backend and agents
• Help – Support and documentation

3.1 Home Dashboard

The home screen provides quick access to:

• Create test suites
• Define test cases
• Run validation
• Measure accuracy

This introductory area also provides onboarding shortcuts such as Get Started and View Results.

3.2 Navigation Menu

Left sidebar includes:

• Home
• Test Suites
• Test Results
• Test Analytics
• Regression Analytics
• Settings
• Help

4. Test Suites Management

The Test Suites module enables enterprise teams to structure large volumes of test cases with consistency and traceability.

4.1 Features Shown in UI

• List of all owned and shared test suites
• Test suite metadata (owner, last update, number of test cases)
• Quick actions: Run, View, Edit, Delete
• Support for hundreds to thousands of cases per suite

4.2 Enterprise-Grade Capabilities

• Versioning of test suites (internal)
• Ownership attribution for audit
• Change tracking for regulated workflows
• Collaborative management among teams

4.3 Typical Use Cases

• Bank help desk knowledge validation
• Insurance FAQ testing
• LLM safety tests
• Transactional agent workflow testing
• Compliance and regulation test validation

4.1 Creating a Test Suite

Users can create structured test suites containing any number of test cases. Test suites may include:

• Title & description
• Ownership metadata
• Total test case count

4.2 Test Suite List View

Each suite displays:

• Owner information
• Last updated timestamp
• Number of test cases
• Actions:
  • Run Suite
  • View Suite
  • Edit
  • Delete

5. Test Case Types & Structure

TestIQ supports multiple test case types to cover functional, behavioral, and performance scenarios.

5.1 Standard Test Case

Consists of:

• Prompt
• Expected Answer
• Tags (for filtering/reporting)
• Type (default: standard)

Common enterprise use cases:

• Factual Q&A validation
• Policy compliance responses
• Knowledgebase retrieval checks
• Customer inquiry simulations

5.2 Concurrency Test Case

Simulates load conditions for performance testing.

Parameters include:

• Number of users
• Ramp-up time
• Ramp-down time
• Burst size & duration
• Sustained peak duration

Used for:

• Contact center load spikes
• High-volume customer requests
• Stress-testing model performance under scale

5.1 Standard Test Case

A standard test case includes:

• Prompt
• Expected Answer
• Tags
• Test Type (default: standard)

5.2 Concurrency Test Case

A specialized test type for stress and performance testing.

Includes configuration fields:

• Concurrent Users
• Ramp Up Time
• Ramp Down Time
• Burst Size
• Burst Duration
• Sustained Load Duration

These settings emulate high-traffic scenarios for performance evaluation.

6. Test Case Lifecycle & Operations

TestIQ offers a robust set of tools to create, import, categorize, and auto-generate test cases.

6.1 Manual Case Creation & Editing

Users may:

• Update prompts
• Revise expected answers
• Add tags for analytics
• Change test types

6.2 CSV Import & Bulk Operations

Features:

• Strict header validation
• Automatic error detection (missing fields)
• Auto-classification of cases
• Bulk loading of hundreds to thousands of cases

6.3 AI-Powered Auto Generation

TestIQ can automatically generate test cases via:

• ContentIQ agents
• Frequently asked enterprise questions

Supports:

• Language selection
• Category assignment
• Even distribution across categories

Examples shown in screenshots:

• Category: "General"
• Generation method selector
• Auto-generated category detection

6.1 Edit Test Case Modal

Fields vary based on test type. Users can:

• Update prompts
• Change expected answers
• Apply tags
• Switch test type

6.2 CSV Import Format

Supported CSV fields:

• Prompt (required)
• Expected Answer (required)
• Tags (optional, comma-separated)
• Type (optional)

Additional rules:

• Headers are case-insensitive
• Wrap values in quotes when they include commas
• Missing fields are skipped with error messages

6.3 Auto-Generate Test Cases

Options:

• Generate from ContentIQ agent
• Generate from most commonly asked questions

Supported inputs:

• Language selection
• Custom categories
• Total number of test cases

7. Test Execution Engine

The Execution Engine performs structured model evaluation with high reliability.

7.1 Execution Features

• Real-time status indicators (running, passed, failed)
• Timestamps for start/end
• Success rate calculation
• Per-case detailed logs

7.2 Enterprise Execution Modes

• Full suite execution
• Abort/cancel run capability
• Concurrency test execution
• Model API fallback handling

7.3 Test Case Result Breakdown

Each case includes:

• Prompt
• Expected Answer
• Actual Answer
• Score (0–100%)
• Pass/Fail classification
• Timestamp
• Full traceability

7.1 Test Run Overview

Each run displays:

• Total executed
• Passed/failed counts
• Start & completion timestamps
• Success rate

7.2 Test Case Results List

Each test case entry includes:

• Test ID
• Score & pass/fail badge
• Prompt preview
• Action buttons:
  • AI Trace
  • View Results

7.3 Deep-Dive Test Case Result View

Displays:

• Expected answer
• Actual model response
• Source references
• Button to update expected answer (Use This as Expected Answer)
• Explanation of failure reason

8. Explainability, Traceability & Compliance Engine

TestIQ provides enterprise-grade explainability reporting across multiple dimensions.

8.1 Explainability Summary

Shows:

• Score
• Pass/fail status
• Natural language reasoning
• Evaluation rubric

8.2 Compliance Dimensions

Based on screenshots, TestIQ covers:

• Confidence
• Fairness
• Compliance
• Transparency
• Traceability
• Human-factor alignment
• Consistency
• Actionability

This is critical for regulated industries.

8.3 Key Variable Impact Analysis

The explainability panel identifies:

• Source credibility weighting
• Reasoning factor attribution
• Semantic alignment measures

The Explainability dashboard breaks down test execution across:

• Summary
• Confidence
• Fairness
• Compliance
• Transparency
• Traceability
• Human
• Consistency
• Actionability

Each entry includes:

• Test score and status
• Detailed reasoning
• Evaluation rubric
• Key variable impacts

9. Reporting, Analytics & Regression Intelligence

TestIQ provides deep analytics for continuous monitoring.

9.1 Run-Level Analytics

Includes:

• Failure patterns (low confidence, wrong format, etc.)
• Recent failures panel
• Quality metrics (coverage, completion, accuracy)
• Category distribution

9.2 Regression Analytics

Shows:

• Pass rate over time graph
• Consistently passing tests
• Consistently failing tests
• Flaky tests
• Per-case historical timeline visualization

9.3 Enterprise Insights

• Identify drift early
• Understand long-term model stability
• Monitor compliance stability
• Detect hallucinations & behavioral inconsistencies

9.1 Test Analytics Dashboard

Metrics provided:

• Common failure patterns
• Recent failures panel
• Test distribution
• Quality metrics
  • Test coverage
  • Completion rate

9.2 Regression Analytics

Includes:

• Pass rate over time graph
• Test case analysis breakdown:
  • Consistently passing
  • Consistently failing
  • Flaky

Each test case displays its pass/fail timeline across runs.

10. System Configuration & Settings

TestIQ provides backend settings for securely connecting enterprise agents.

10.1 Agent Configuration

Includes fields:

• Agent ID (UUID)
• Agent Type (e.g., WatsonX Orchestrate)
• ContentIQ API Key (masked)
• Pass Threshold (0–1 scale)

10.2 Enterprise Governance Controls

• Threshold enforcement
• Mode-specific configurations
• Automatic validation of agent connectivity
• Key-based authentication

10.3 Security Model

All keys are encrypted and stored in secured vaults.

10.1 Backend Settings

Fields include:

• Agent ID
• Agent Type (e.g., WatsonX Orchestrate)
• ContentIQ API Key
• Pass Threshold (0–1)

These control the model under test and thresholds for passing.

11. Security, Compliance & Governance

While the UI only reveals portions of the system, TestIQ is designed for enterprise governance environments.

11.1 Security Features

• Encrypted API communication (TLS 1.2+)
• API key vaulting
• Workspace-level isolation
• Secure prompt and response storage

11.2 Compliance Readiness

Supports compliance workflows for:

• Banking compliance tests
• Insurance regulatory checks
• AI fairness & transparency standards
• GDPR/CCPA privacy controls
• Internal enterprise audit protocols

11.3 Traceability

• Lineage for every test execution
• Per-test-case audit logs
• Expected answers versioning
• Source citation verification

Although not shown directly in UI, TestIQ is intended for enterprise environments and adheres to:

• Encrypted API communication
• Segregated workspace-level access
• Model response logging with traceability
• Data minimization (prompts & responses only)
• Full audit trails for test results

12. Deployment, Implementation & Enterprise Rollout

This section provides guidance for organizations adopting TestIQ.

12.1 Deployment Models

• Cloud-hosted (default)
• Private cloud (upon request)
• API-based integration with CI/CD pipelines

12.2 Implementation Steps

1. Configure backend agent
2. Identify business-critical test cases
3. Import or generate initial suite
4. Perform baseline run
5. Validate explainability & calibrate expected answers
6. Deploy automated regression schedule

12.3 Continuous Governance Workflow

• Weekly regression suites
• Monthly compliance audits
• Quarterly model drift evaluation
• Annual AI governance certification

12.1 Onboarding Steps

1. Configure backend agent
2. Create initial test suite
3. Import/create test cases
4. Run baseline evaluation
5. Analyze and calibrate expected answers
6. Schedule periodic regression tests

12.2 Recommended Best Practices

• Use categories and tags for test segmentation
• Establish a consistent pass threshold
• Run daily regressions on critical models
• Use CSV or auto-generation for bulk addition
• Validate expected answers regularly

13. Troubleshooting & Support

13.1 Execution Failures

13.2 Import Failures

13.3 Accuracy Issues

14. Conclusion

This updated documentation now reflects a fully enterprise-grade product specification for Symplistic.TestIQ, incorporating every feature visible in the uploaded screenshots. The document aligns with expectations for SaaS enterprise documentation, covering product overview, governance, explainability, analytics, architecture, workflows, and system configuration.

Symplistic.TestIQ provides a comprehensive, scalable, and enterprise-ready framework for validating and monitoring AI systems. It supports multi-dimensional evaluation, batch testing, explainability, traceability, and regression tracking, ensuring AI agents perform reliably, safely, and consistently in high-stakes environments.

This document serves as the foundation for onboarding enterprise clients, internal engineering teams, quality assurance groups, and governance/compliance stakeholders.