Alex Debecker explains Ubisend & makes 5 chatbot predictions

ubisend was spun out from a larger company in 2016. At the time, mobile messaging was creating a huge impact in the lives of consumers. We began spending more time using messaging applications than social media applications like Facebook or Twitter.

The ubisend founders saw an opportunity to create a new and exciting brand to meet this new demand. With most mobile messaging applications opening their APIs to third parties, ubisend could now build their super smart solutions straight into the digital channels like Facebook Messenger, Telegram, and more. Read more

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Top chatbot testing concepts, techniques and frameworks

(Courtesy of Next Right)

We have previously written a detailed guide about chatbots. Then we started to develop objective metrics for measuring the performance of a chatbot. We also shared some of the success stories since success stories are rare and ambitious designers of conversational interfaces need to study them because, for every hundred of failures, there are only a few success stories. We provided a basic guide for a/b testing. In this article, we will be sharing some of the key methods for chatbot testing.

Chatbots are indeed revolutionizing the interaction between organizations and individuals, but one thing still lacks, the industry still hasn’t been able to achieve is standardizing the chatbot testing. We rather observe the performances indirectly. Claims such as 10 times better ROI compared to email marketing makes sense only if the chatbot is implemented. Although various metrics for performance has been developed, the nature of chatbot makes it hard to develop a uniform score or test for all types of chatbots Read more

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7 Steps to improving your chatbot with A/B testing [2018 update]

(Courtesy of Faber Novel)

We have previously written a comprehensive guide on chatbots. Then we started to develop objective metrics for measuring the performance of a chatbot. We also shared some of the success stories since success stories are rare and ambitious designers of conversational interfaces need to study them because, for every hundred of failures, there are only a few success stories. Now, we will be discussing how to test whether you are achieving an improvement in those metrics or not. A/B testing, which you probably used before for website or app, is also applicable to chatbot testing. It is a way to conduct beta testing and user testing. Read more

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15 Key Metrics for Chatbot Conversational Analytics in 2018

Web focused metrics do not calculate misunderstood requests or message delays. Chatbots require new metrics. If you are already familiar with web metrics, jump to chatbot specific metrics:

We have previously written an in-depth guide on conversational bots/chatbots. The basics of chatbots are provided in another article. We argued that the chatbots will change the world and it is important to catch-up with the technology. It is also important to be aware of the capabilities of chatbots and constantly measuring the performance of the chatbots. Therefore in this article, we will share some of the key metrics. Read more

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Top 20 Chatbot Usecases / Applications in Business in 2018

While we were writing about major chatbot failures and top chatbots, we started noticing and documenting the areas where chatbots really add value to businesses. Now we are ready to explain how businesses in different industries can use chatbots.

And do not imagine this as a company having 20 chatbots. Consider 2 chatbots for your company, one that is serving all requests from customers and partners and another serving all your employee’s requests. So if an employee needs to create an IT request or if she needs to put in her time sheet, she will use the same system and the same interface. Read more

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