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OneRun helps teams across industries build better AI agents through systematic evaluation. Here are the most common use cases and how teams leverage the platform.

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Common Use Cases

Challenge: Support agents need to handle order issues, returns, and product questions across diverse customer types.OneRun Solution:
  • Generate personas representing different customer segments (first-time buyers, VIP customers, international users)
  • Test scenarios like order delays, product defects, and billing disputes
  • Evaluate objectives: customer satisfaction, issue resolution rate, response accuracy
Challenge: Technical support agents must help users with complex product issues while maintaining high customer satisfaction.OneRun Solution:
  • Create personas with varying technical expertise levels
  • Test troubleshooting scenarios and feature explanation requests
  • Measure technical accuracy, user empowerment, and satisfaction
Key Metrics: Resolution rate, escalation frequency, user confidence improvement
Challenge: Sales agents need to qualify leads effectively while providing value to prospects at different stages.OneRun Solution:
  • Generate personas representing different business sizes, industries, and buying stages
  • Test discovery conversations and objection handling scenarios
  • Evaluate lead qualification accuracy, conversion potential, and relationship building
Challenge: Property agents must handle inquiries about listings, schedule viewings, and qualify potential buyers/renters.OneRun Solution:
  • Create personas with different budgets, preferences, and urgency levels
  • Test property recommendation and scheduling scenarios
  • Measure lead capture rate, qualification accuracy, and user satisfaction
Challenge: Healthcare agents need to collect patient information accurately while maintaining empathy and compliance.OneRun Solution:
  • Generate personas with different health conditions, ages, and communication preferences
  • Test symptom collection and appointment scheduling scenarios
  • Evaluate information accuracy, patient comfort, and regulatory compliance
Key Considerations: HIPAA compliance, medical accuracy, patient trust
Challenge: Educational agents must provide personalized help while adapting to different learning styles and knowledge levels.OneRun Solution:
  • Create student personas across different grade levels and subjects
  • Test homework help and concept explanation scenarios
  • Measure learning effectiveness, engagement, and comprehension improvement
Primary Goals: Validate new features, compare model versions, ensure quality at scaleHow They Use OneRun:
  • A/B Testing: Compare different agent versions against the same evaluation criteria
  • Feature Validation: Test new capabilities before production release
  • Quality Assurance: Maintain consistent performance across agent updates
  • Performance Monitoring: Track agent quality trends over time
Success Story: “We reduced our agent quality incidents by 80% by implementing systematic OneRun evaluations before each deployment.”
Primary Goals: Improve customer satisfaction, reduce escalations, maintain brand voiceHow They Use OneRun:
  • Brand Consistency: Ensure agents maintain appropriate tone and messaging
  • Scenario Coverage: Test edge cases that customer service teams encounter
  • Escalation Reduction: Identify conversation patterns that lead to human handoffs
  • Customer Journey Optimization: Evaluate agent performance at different touchpoints
Key Metrics: Customer satisfaction scores, first-contact resolution, escalation rates
Primary Goals: Benchmark performance, validate approaches, publish reliable resultsHow They Use OneRun:
  • Systematic Evaluation: Create reproducible testing environments
  • Comparative Analysis: Benchmark different models and approaches
  • Dataset Generation: Create high-quality conversation datasets for research
  • Ablation Studies: Test the impact of different components or techniques
Research Applications: Paper validation, grant proposals, peer review preparation
Primary Goals: Meet compliance requirements, ensure security, maintain operational standardsHow They Use OneRun:
  • Compliance Testing: Verify agents meet regulatory requirements
  • Security Validation: Test agents against adversarial scenarios
  • Documentation: Generate audit trails for quality processes
  • Risk Management: Identify potential failure modes before production
Compliance Areas: Financial services, healthcare, government contracting

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Common Implementation Approaches

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Quality Gates

Set performance thresholds that agents must meet before deployment. Teams typically require 80%+ satisfaction scores before releasing updates.

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Progressive Testing

Start with small simulations (10-20 conversations) to validate changes, then scale up to comprehensive evaluations (100+ conversations) before full deployment.

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Multi-Environment Strategy

  • Development: Quick validation with focused scenarios
  • Staging: Comprehensive testing at realistic scale
  • Production: Ongoing monitoring with key scenarios

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Getting Started with Your Use Case

1

Identify Your Scenario

Define the specific situations your agent handles most frequently
2

Define Success Metrics

Determine what outcomes matter most for your business and users
3

Start Small

Begin with 10-20 conversations to validate your approach
4

Iterate and Scale

Refine your evaluation criteria and gradually increase simulation size
The most successful teams start with their most common or highest-risk scenarios, then expand their evaluation coverage over time.
Consider creating different evaluation profiles for different aspects of your agent - one focused on accuracy, another on user experience, and a third on edge case handling.