AIVO QA
I evaluate chatbot conversations and test the response system to identify errors, validate the knowledge base and recommend improvements. The case presents the QA method without exposing private conversations.
- My role
- Conversation review, chatbot testing and error analysis
- Project
- AI customer-experience system
- Status
- QA framework
- Focus & tools
- Conversation evaluation · Chatbot tests · Knowledge-base validation
A practical quality loop
The review looks at whether the chatbot understands the question, uses the right knowledge, follows the expected routing and produces a useful answer. Each finding is classified so it can lead to a concrete correction in the content, prompt or flow.
- Evaluate representative conversations.
- Run tests against expected chatbot behaviour.
- Validate the knowledge base and source alignment.
- Identify and analyse errors.
- Recommend improvements and retests.
Sanitized evidence
The public case describes the evaluation process without publishing customer messages, private identifiers or internal configuration.
LET’S CONNECTClearer systems.
Start a conversation