Introduction
Thorough testing is crucial for ensuring your AI phone agents work reliably in production. This guide covers testing strategies, tools, and best practices to help you catch issues before they impact your callers.Testing Philosophy
Test Early, Test Often
Golden Rule: Every change should be tested before deployment, no matter how small.
Types of Testing
1. Unit Testing
Test individual blocks and components in isolation:Block Configuration
Verify each block works with different input values and configurations.
Variable Handling
Test how variables are passed between blocks and transformed.
API Integrations
Ensure external API calls work with various response formats.
Error Conditions
Test how blocks handle unexpected inputs or failures.
2. Integration Testing
Test how different parts of your flow work together:1
Block Connections
Verify that blocks connect properly and data flows correctly between them.
2
Conditional Logic
Test all possible paths through your flow, including edge cases.
3
External Systems
Ensure integrations with databases, APIs, and other services work as expected.
3. End-to-End Testing
Test complete user journeys from start to finish:Happy Path Testing
Happy Path Testing
Test the ideal user journey where everything goes smoothly:
- User calls in
- Provides correct information
- Receives expected response
- Call ends successfully
Error Path Testing
Error Path Testing
Test scenarios where things go wrong:
- Invalid input provided
- System timeouts
- Network connectivity issues
- User hangs up mid-conversation
Edge Case Testing
Edge Case Testing
Test unusual but possible scenarios:
- Very long responses
- Background noise
- Multiple people on the call
- Non-English speakers
Testing Tools and Methods
Phonely’s Built-in Testing
Flow Simulator
Test your flows in a controlled environment before going live.
Call Recording Analysis
Review actual call recordings to identify issues and improvements.
Analytics Dashboard
Monitor call success rates, completion times, and error patterns.
A/B Testing
Compare different versions of your flows to optimize performance.
Manual Testing Checklist
Test Data Management
Creating Realistic Test Data
Security Note: Never use real customer data for testing. Always use anonymized or synthetic data.
- Create representative sample data that covers various scenarios
- Include edge cases (very long names, special characters, etc.)
- Test with different data formats and languages
- Ensure test data reflects your actual user base demographics
Test Environment Setup
1
Separate Test Environment
Use a dedicated test environment that mirrors production but with test data.
2
Test Phone Numbers
Set up dedicated test phone numbers for different scenarios.
3
Mock External Services
Use mock services for APIs and integrations during testing.
Performance Testing
Load Testing
Test how your agents perform under various load conditions:Concurrent Calls
Test with multiple simultaneous calls to ensure system stability.
Peak Hours
Simulate high-traffic periods to identify bottlenecks.
Long Conversations
Test extended conversations to check for memory leaks or timeouts.
Rapid Succession
Test quick back-to-back calls to verify system recovery.
Response Time Testing
Monitor and optimize key performance metrics:- Initial Response Time: How quickly does the agent start speaking?
- Processing Time: How long does it take to process user input?
- API Response Time: How quickly do external integrations respond?
- Total Call Duration: Is the conversation efficient?
User Acceptance Testing
Beta Testing Program
Recommendation: Run a beta test with a small group of real users before full deployment.
- Recruit Testers: Find representative users from your target audience
- Provide Instructions: Give clear guidance on what to test and how to report issues
- Monitor Calls: Listen to recordings and analyze performance data
- Collect Feedback: Gather both quantitative metrics and qualitative feedback
- Iterate: Make improvements based on findings before full launch
Feedback Collection
Quantitative Metrics
Quantitative Metrics
- Call completion rates
- Average call duration
- Error rates
- User satisfaction scores
Qualitative Feedback
Qualitative Feedback
- User interviews
- Survey responses
- Call recording analysis
- Support ticket analysis
Continuous Testing
Automated Testing Pipeline
Set up automated tests that run on every change:1
Pre-deployment Tests
Run automated tests before any deployment to production.
2
Smoke Tests
Quick tests to verify basic functionality after deployment.
3
Monitoring
Continuous monitoring of production systems for issues.
Regression Testing
Important: Always test that new changes don’t break existing functionality.
- Maintain a comprehensive test suite that covers all critical paths
- Run full regression tests before major releases
- Use automated testing where possible to catch issues quickly
- Document and track all known issues and their fixes