Category: Chatbot

Top chatbot testing concepts, techniques and frameworks

Top chatbot testing concepts, techniques and frameworks

(Courtesy of Next Right)

We have previously written a post about chatbot revolution. 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

7 Steps to improving your chatbot with A/B testing

7 Steps to improving your chatbot with A/B testing

(Courtesy of Faber Novel)

We have previously written a post about chatbot revolution. 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

14 key metrics you need to know to master chatbot analytics

14 key metrics you need to know to master chatbot analytics

(Courtesy of Master of Code)

We have previously written an article about the chatbot revolution. 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.

What is a metric?

a metric is a quantifiable measure that is used to track and assess the status of a specific business process Read more

Top chatbots for your business

Top chatbots for your business

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:

Chatbot solutions for any industry

  • Customer service
    • Resolving customer queries
    • Answering frequently asked questions
    Marketing
    • Recommendations: Recommending the right products to the customer based on her verbal feedback
    • Understanding your customers: Asking the right questions at the right times on your application or website
    Sales
    • Customer outreach is better when bots write the first reply. For example while reaching out to SMEs, you can send automated emails and chatbots can respond immediately to leads. Reduction in response times is one of the biggest boosts to conversion as demonstrated by this study by insidesales.com
    HR
    • Keeping pulse of your employees has never been easier. Integrate chatbots like Polly into your collaboration environment like Slack to monitor their satisfaction and productivity.

    Industry-specific chatbot solutions Read more

Why chatbots suck (and why natural languages are hard)

Why chatbots suck (and why natural languages are hard)

We have previously touched on how to make your chatbot a success, top chatbots and  how many chatbots fail (a list that is constantly growing). Today, we will show you why it is hard for chatbots to hold human-like conversations, and why dealing with natural languages is hard.

Natural Languages are old and quite irregular

It is important to define the natural language concept as we begin. Natural languages are the product of thousands of years of speech patterns, evolved to fit the needs of a particular community at a particular time. They are very fluid, as there can be a lot of change over time (think Victorian English). Although we may attempt to catalogue the different rules of natural languages, they eventually get replaced by new rules, and in some cases, they diverge so much that the new set of rules essentially become a new language. Read more