A chatbot that once understood users can become inaccurate as their needs or the world change. Continuous improvement is a feedback loop: review observed performance, make a change, and measure its effect. The goal is to help users complete tasks effectively while managing risk. section 1.5 section 4.5.3
Use the loop to turn performance findings into practical next steps:
- Review logs and test results to find weak understanding; prioritize high-volume intents with poor performance. section 4.5.3 section 5.5
- Change the system, then measure whether understanding improved, stayed the same, or worsened. section 4.5.3
- Keep test sets current when intents, knowledge coverage, or prompt scenarios change; monitor and retrain throughout the solution’s life. section 4.5.3 section 5.5
When the world changes
After a data breach, users may ask whether their information is safe. Review those conversations, update coverage and tests, then measure whether the chatbot handles the new questions better. Refreshing tests helps reveal when a change has not improved understanding. section 4.5.3
