LeeBoonstra.dev

Conversational AI Blog

(Beginner) Tutorials, Guides and FAQs on Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.

Welcome to my conversational AI developer blog. As a developer advocate for Google, I'm the bridge between Google's engineering team and you; chatbot developers, UI/UX designers, conversational experts, linguists, and contact center engineers.

—Lee Boonstra, www.leeboonstra.dev

The Ultimate Guide to Conversational Analy...

It seems that most organizations that use chat and / or voice bots still make little use of conversational analytics. A missed opportunity, given the smart use of conversational analytics can help to organize relevant data and improve the customer experience.

While setting up conversational analytics, there are three specific categories of metrics relevant to designing a voice bot: conversation-related metrics, chat session & funnel metrics, and bot health metrics. Conversation-related metrics can help understanding conversations and shining a light on questions like what’s been said, by who, when, and where? To effectively monitor conversation-related metrics, data could be stored in a data warehouse: an enormous database to which several data sources can be connected. Here, you can store as much structured data as you want, whether it’s website data, website logs, login data, advertising data, or Dialogflow chatbot conversations. The more data you gather, the better you can understand and help your customers.

Do you use chat or voice to communicate with customers? Then it is important that you have your conversational analytics in order and you collect the right data. This is the only way you can optimize your channel as well as possible and improve the customer experience. In this white paper, the DDMA Committee Voice tells you all about it. Download it now from: https://ddma.nl/ca/

Lee Boonstra

Lee Boonstra

Lee Boonstra is a conversational AI developer advocate and applied AI engineer at Google. In this role, she is focusing on Dialogflow, Contact Center AI & Speech technology. She is a public speaker and a published author.

Lee Boonstra

Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and is currently working on the Google Conversational AI book at Apress.

Lee lives in Amsterdam, the Netherlands, and is a rainbow mommy.

My book
Getting Audio Data From Text (Text to Speech) and Play It in Your Browser. (Part IV)

Getting Audio Data From Text (Text to Spee...

This is the fourth blog in the series:
A best practice for streaming audio from a browser m...

Building Your Own Conversational Voice AI Which Streams Audio From a Browser Microphone to a Server (Part III)

Building Your Own Conversational Voice AI ...

This is the third blog in the series:
A best practice for streaming audio from a browser mi...

Building Your Own Conversational Voice AI Which Streams Audio From a Browser Microphone to a Server (Part II)

Building Your Own Conversational Voice AI ...

This is the second blog in the series:
A best practice for streaming audio from a browser m...

Building Your Own Conversational Voice AI With Dialogflow & Speech to Text in Web Apps. (Part I)

Building Your Own Conversational Voice AI ...

This is the first blog in the series:

A best practice for streaming audio from a browse...

Disclaimer: The opinions stated here are my own, not those of my company. - 2021 ® Lee Boonstra