Executives visiting course pages often struggle to identify the most relevant programme for their goals or experience level. With many similar options, they leave before exploring details or enquiring further. This experiment tests whether a guided conversational assistant can help match needs to courses — improving relevance, engagement, and lead quality.
Hypothesis
We believe that a conversational assistant that matches user goals and experience levels to available programmes will increase engagement, as measured by click-throughs to course detail pages.
This section outlines how the experiment is structured and delivered, from planning and setup to testing and measurement. It shows the practical steps, variations, and inputs that shape the pilot.
Process
The step-by-step process that guides the setup, delivery, and measurement of the experiment.
Inputs & Prompts
Examples of user queries used to train and evaluate the AI's understanding.