Helping you in the quest for a conversational AI that truly connects with people.
The non-deterministic nature of NLP-based bots and user’s lack of familiarity with conversational interfaces have often been blamed for the failure of conversational apps to deliver business outcomes. Advancements of AI in the areas of speech recognition, classification, named entity recognition, etc., are facilitating conversational applications that are empathetic and understand us better. While consumers tend to interact with these applications as they would with any human, conversation design can go a long way in creating experiences that delight the users while delivering value to businesses that are investing in this emerging technology.
But how can we possibly design for an application that works with probabilities and takes free flow human conversation as input? How do we restrict users within the boundaries of what these applications can do without compromising on the experience? How do we ensure that businesses get business value out of investment while enhancing their brand perception? And last but not the least, is it possible to follow a set of best practices to come up with a good design for a conversational app every single time?
Banking on the experience of working in the conversational AI space, we conducted a primary research to gain consumer insights. With these learnings, we have attempted to answer these questions and other similar questions around how to design a conversational bot (text or voice) to be successful and introduce you to the art and science of conversation design in this whitepaper.
Download the whitepaper to read more
