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Conversational AI Blog

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

Welcome to my conversational AI engineering blog. As a SWE and advocate for Google, I build a lot of cool stuff, and 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 software engineer and advocate for the Cloud office of the CTO at Google, a diverse team of highly experienced engineers and technologists, working on behalf of the Cloud CEO, whose mission is to foster market-disrupting collaborative innovation between Google and the world's most ambitious organizations. Expertise in AI & Voice, Lee is a public speaker and a published author for O'Reilly and Apress.

Lee Boonstra

Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and lately: the Definitive Guide to Conversational AI with Dialogflow and Google Cloud for Apress.

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

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Disclaimer: The opinions stated here are my own, not those of my company. - 2022 ® Lee Boonstra