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

Define your use cases – not too little and not too much


Many businesses struggle to identify the use cases where a bot can replace a human interaction. This is usually a result of the relatively poor experiences that today's bots provide.

Poor automated experience is a consequence of either:

  • The "too little" scenario, where a bot offers very little and therefore has no value for the end user

  • The "too much" scenario, where a bot sets high hopes for what it can do, but then fails to meet those expectations

In both cases, the bot is unsuccessful in fulfilling its purpose. Due to technology limitations, or bad design, it has failed to offer a fast and scalable service to the customer and failed to reduce the business' costs. Finding the minimum viable product (MVP) is crucial for the success of any chat/voice application, but be aware of "burning" users by offering a limited product that does not provide value. You can start with simpler types of features, but then you should develop a second level...