Powering concierge experiences for the world’s leading enterprises.
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Experiments
Data-driven experiments to improve AI agent performance and CX metrics

Experiments and A/B testing suite enable teams to take a scientific approach to continuously improving their AI agent.
Whether you’re refining tone, adjusting refund logic, or trialing a new onboarding experience, experimentation makes it safe to test, learn, and iterate without the guesswork.
Faster answers to questions
What’s the impact of shorter voice replies on CSAT? How does adjusting an AOP affect deflection? Stop waiting for quarterly updates and start driving continuous improvements.

A/B testing on live traffic
Define your variable and traffic split, then measure results against a stable control group directly in production.

Concurrent, non-overlapping experiments
Run multiple experiments at once while keeping a universal control group. Clean, isolated results make it easy to see what’s working.

Statistical rigor made simple
Set your p-value threshold and get clear signals when results are statistically significant— no data science degree required.

Side-by-side metrics
Monitor conversation volume and key metrics across control and variable groups from a single, unified view.

CSAT and deflection over time
See daily performance and longer-term trends in CSAT and deflection to spot meaningful shifts faster.

Custom traffic allocation
Ramp up gradually or roll back experiments entirely based on real performance data.

Flexible rollout controls
Easily launch full rollouts once an experiment proves successful. Scale winning changes.

Experiment labels
Track experiments with clear status labels: active, inactive, or archived. Quickly surface successful experiments and replicate what works.

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