Results framework

How to measure AI chatbot results

A useful evaluation defines each signal before collecting it. This scaffold explains what BazBots can report and how to plan a credible review without publishing unsupported outcomes.

What to measure

Measure conversation volume, voluntarily captured leads, verified checkouts, and recurring question themes with a documented definition and time period.

Build a credible baseline

Choose a representative period, document other changes, and use the same definitions and observation window before and after installation.

Evidence required before publishing

Retain the reporting period, metric definition, source export, customer approval, and important limitations. Do not turn one observed change into a general promise.