Voice AI should perform under pressure. At Waboom.ai, we simulate thousands of conversations to stress-test agents before launch.
The Problem with Manual Testing
Picture this: Your star developer just spent 3 weeks manually testing a single Retell AI voice agent through repetitive phone calls.
Typical Testing Cycle
That's 60+ hours per agent, per major iteration.
Why Manual Testing Fails
Three critical limitations:
1. Human inconsistency - Tester performance varies by time of day
2. Conversation fatigue - Reliability drops after 50+ iterations; testers miss edge cases after repetitive calls
3. Scope creep - Endless "what if" scenarios spiral uncontrollably
The Solution: Batch Simulation Testing
Retell AI's batch simulation testing enables simultaneous testing of 20+ scenarios.
The Workflow
1. Create detailed customer personas (frustrated executives, confused elderly customers, hurried professionals)
2. Define specific success metrics and measurable evaluation criteria for each scenario
3. Run comprehensive test suites in parallel (20+ simultaneous scenarios)
4. Analyze results and iterate
Results Achieved
Before Batch Testing:
After Implementation:
Current Limitations
The testing approach has constraints:
But the ROI is undeniable. Battle-tested agents earn customer trust from day one.
Leonardo Garcia-Curtis
Founder & CEO at Waboom AI. Building voice AI agents that convert.
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