We aimed, and succeeded, in capturing these building blocks and elements in the digital conversation with Alpi.
In this phase we discover whether the visitor is a match with the region of Engadin. During this stage it is important to inspire and inform the (potential) visitor of the region of Engadin. Furthermore, you want to capture elements from the building block of the conversation.
So here we start the conversation and capture the intent of figuring out whether the visitor and the region are a match. A set of questions will give Alpi more information on when the person wants to go on holiday, what kind of holiday they are looking for and with whom they are planning to go. This will also give us insights into personality type, as an extravert person is more likely to go on holiday with a group for example. We also want to capture things that can be useful later on, such as type of activities, in this case hiking. This way, Alpi can be as relevant as possible when the visitor arrives at location. In this case we ask the hiking experience level and use external data, in this Komoot, to give a good suggestion for a beginners hiking trail. The use of such data and other sources is possible as we of course connect the chatbot to a data management platform in which all data sources from the region are accessible. We also give some hotel suggestions, because the user asked for it.
All the information captured in this phase is stored and can be used to personalize the following conversations even more.