Book Image

Voicebot and Chatbot Design

By : Rachel Batish
Book Image

Voicebot and Chatbot Design

By: Rachel Batish

Overview of this book

We are entering the age of conversational interfaces, where we will interact with AI bots using chat and voice. But how do we create a good conversation? How do we design and build voicebots and chatbots that can carry successful conversations in in the real world? In this book, Rachel Batish introduces us to the world of conversational applications, bots and AI. You’ll discover how - with little technical knowledge - you can build successful and meaningful conversational UIs. You’ll find detailed guidance on how to build and deploy bots on the leading conversational platforms, including Amazon Alexa, Google Home, and Facebook Messenger. You’ll then learn key design aspects for building conversational UIs that will really succeed and shine in front of humans. You’ll discover how your AI bots can become part of a meaningful conversation with humans, using techniques such as persona shaping, and tone analysis. For successful bots in the real world, you’ll explore important use-cases and examples where humans interact with bots. With examples across finance, travel, and e-commerce, you’ll see how you can create successful conversational UIs in any sector. Expand your horizons further as Rachel shares with you her insights into cutting-edge voicebot and chatbot technologies, and how the future might unfold. Join in right now and start building successful, high impact bots!
Table of Contents (16 chapters)
Voicebot and Chatbot Design
Contributors
Preface
Other Book You May Enjoy
Index

Deployment, maintenance, and analytics


After testing our bot and deploying it on the relevant devices and channels, we come to the important part of maintenance. We have mentioned over and over that building a conversational solution is not a one-time project and that there will be a constant need to modify, change, enhance, and improve as we bring our bot into contact with the users.

All stakeholders must continue to play an active part in the maintenance process. Marketing and business teams are needed, since some of the improvements will include adding more use cases. UI and UX designers will be required, in case of linguistic changes to new and current use cases or to revise the bot's persona. In all use cases, R&D will be required to implement those modifications.

Learning our clients' behavior will help us to improve our conversational solutions. Only when we see how people react to our bot in numbers can we conclude whether our bot is fulfilling its goals.

Analytics will provide...