Chatbot Testing & Evaluation with PromptLens

The most effective chatbot testing strategy combines automated regression tests with targeted edge case coverage. 1. **Baseline your current performance** — Run your existing prompts against 50-100 representative conversations and record pass rates. This becomes your quality floor. 2. **Categorize test cases by risk** — Not all conversations are equal. Billing questions, account security, and complaint handling carry higher risk than general FAQs. Weight your test suite accordingly. 3. **Test tone, not just accuracy** — A chatbot that gives the right answer in the wrong tone is still a failure. Include sentiment checks in your evaluation criteria. 4. **Automate with CI/CD** — Run your test suite on every prompt change, just like you'd run unit tests on code changes. Block deployments that drop below your quality threshold.

// Define a test case for tone regression
{
  input: "I've been waiting 3 days for a response!",
  expected_behavior: "Acknowledge frustration, apologize,
    provide resolution timeline",
  fail_criteria: [
    "dismissive language",
    "no apology",
    "generic response"
  ]
}