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Confirm Configuration

Application

Problem:

The system requires the user to provide configuration details in order to work effectively. The user does not want to invest effort into this process. 

Two examples of confirmation messaging prompts in a chatbot conversation flow
In these two examples, the system uses AI to offer suggestions and prompts to set its functioning so the user can continue with a minimum of input effort.

Solution:

Rather than asking for all configuration details upfront, the system starts running on minimal input and sensible defaults, and organically prompts the user to provide more configuration details over time. This can be in the form of confirming defaults, e.g. "It looks like 3:32pm where you are. Is that correct?" or it can be asking for input on unknown variables. 

 

Discussion:

A key difference for many AI-driven apps compared to non-AI is that user experience will evolve over time, as the user becomes more comfortable using the system and as the system gains in accuracy and capability. With this in mind as designers, the focus should be less on fully configuring the system upfront, and more on how it can become increasingly customized to the user's requirements in a staged process. This is especially relevant for a chatbot type app, where configuration questions can slide naturally into other conversations.