Testing The Chatbots

Chatbots have become the trend for the year 2017; experts predict that its high rise in the coming days. Such AI programs are not only a great benefit for companies to launch a chatbot instead of hiring more human, But also a great benefit to customers and prospects, who would not have to wait for human assistance. The bot can serve a lot of customers at the same time, handling orders and simple questions right away.

A QA business should test your chatbot well so that it can bring real benefits. While such a toy in your service may be a thoughtful marketing blow to attract people interested in IT, the interest will inevitably disappear if your robot would not be able to handle what a customer needs from your company.

Since AI chatbot recently became smarter, more and more companies adopt these custom programs in their business. However, smarter means more complicated coding, hence more errors, errors and other head clutter.

How to cope with homework?

Devote To Treat Your Chabot as Human Being

The summer of last year there was much speculation that the chatbots are pretty stupid because they do not deal well with the Turing test. What’s up, man? Chatbots are not a toy for solitary children; they are functional tools to achieve a specific programmatic goal. Chatbots do not need to act a real human but respond with the right answers and at the right time.

Of course, that would be good (and highly recommended) to add some features of humanization. For example, a bot can respond with an emoji heart, once a caller says I love you. Things like that would be a nice advantage for customers because they create a personal connection with your company, and your fun will probably grow into more sympathy for your business. Your client and your company will have a common history: it would be difficult enough for her or him to turn their eyes to their competitors. Real emotional factors govern in life, therefore in business.

Use The Right Tools For Your Chatbot

Before we begin, we must choose the instruments with which we will work. Robots are not standard software, and their QA tests require specific tools. How exactly should they work?

The main task of chatbot is to understand the context of the conversation flow and deal correctly with a problem that a user needs to solve. Therefore, the proper tool should examine these features as detailed as possible (especially refers to a routine check) and provide a clear review, better converted into numbers that push the valuable ideas.

There are three main tools recommended for automation testing

Bot Flair should be considered the best because of his ability to control unexpected entries like slang words, colloquialisms, and other things like that. However, it is fully paid. And if you just want to know how your bot behaves on different channels, you can simply go along with the Bot Testing, which is free. Dimon would be somewhat intermediate between the two as it offers free and paid subscriptions with different diffusion. It provides the basic functions but also gives options of the superior features.

The test tools would certainly facilitate the whole process if implemented by skilled hands. However, you can not rely on test automation: robots would never rule out humans in robot control.

Basic Chatbot QA: A Bot Must Undertake Your Bot Job

So what should you start? It is obvious that you should check what the chatbot is specifically created for. That is the common logic of his servant. You do not want your botty to respond with the right answers, but to the wrong questions, right?

Let it handle the expected data and see the result. If something goes wrong, you know what to do, since you or your coders have coded reactions on those inputs directly.

This stage can be compared to a process as usual as proofreading and edit your Facebook post before clicking or clicking the Publish button. The same goes for your bot: make sure it works well in basic interactions before your AI child appears to more people. Note that its mandatory to test your bot on all channels of your application for, to avoid problems with integration compatibility.

May involve professional testers quality controls at this stage. The analysis would be more efficient if the test team starts with you from the beginning and understand more basic details of your project.

Pre-Launch: Chatbot Beta Testing

The best way to ensure your bot will be launched ready to serve is to test it before of the beginning. Once you have finished with the basic quality control and the chatbot works the same as planned, you should open it to the wider audience. It should be a closed group of users, who would try to break their pretty botty and then give you an account of the results.

Scientifically, the beta tester will examine the chatbot with unexpected entries. These usually include the mentioned jargons, colloquial language, also British, Australian, and other English variants. On the other hand, the chatbot would most likely be treated as an entertainment and besieged with completely irrelevant inputs such as the flirtation mentioned above.

Each beta test review would be valuable to you as each individuality treats the chatbot in the original personal way. Even if you are surprised, you need to consider how to treat human behavior of users, which does not fit into any pattern and improve your chatbot according to the considerations.

It is useful to define the main problems in the early stages of the quality control test. Then ask your beta testers and users in the future to report with relevant tags. Voil! You’ve got an ordered list of the major issues that you need to work on. This classification will make it much easier to operate errors, set priorities, and find and fix critical insects ASAP.

The Ways To Obtain Beta Testers

Sometimes it happens that you have no idea who to ask to try the beta version of your bot. The most common ways to pre-check your chatbot.

First of all, you can go with protesting communities, inviting people there to try out your new chatbot. However, the bad thing about crowd testing is that you can never be sure about the skills of the testers. Do you have enough analytical awareness to immerse yourself in deep and adequate tests? Who knows.

So, maybe something more skills-oriented? And yes, in this case, independent platforms will. You can easily sign up and look for beta testers with the relevant skills. Protecting resources would make sure that the experts meet their deadlines and finish their work with a clean conscience. However, freelancers are not as dependable and organized as regular workers. You should know about that if you have ever cooperated with employees from time to time. Also, they are not able to do their job so systematically.

Finally, if you want to get real quality service, QA teams of outsourcing full time are waiting to assist you in all aspects. You will surely have to pay more than for freelancers. However, it is fair enough to offset the higher rates for professionalism, systematic workflow and proper management. You’ll get 100% output: QA testers, assuming all previous revisions once they exist, will review the overall program, code, and algorithms. And then provide you with accurate error logging and tips on how to fix all errors. Some of the quality control companies, which have developers in their state, do offer to fix all errors, for the additional charges.

Posts-Launch: Real Users Report on Your Chatbot

Start the fear of annoying and give users the opportunity to report their chatbot if they think bad somethings with it. If a user is worried about nonsense or simply wants to advise on usability — he or she should be able to do it right away in the chat. It would be a great option, the chatbot collects the complaints and concerns of the users and sends this information to its specialists in GC. Remember to thank your users for each report, because every thoughtful consideration makes your AI client assistant a little better.

Once the chatbot is accessible to everyone, where would be even more unexpected entries. You should be on the ball and react quickly to make the conversation with your Intelligent Intelligence representative, more interactive, human-like and possibly fun.

CONCLUSION

Keep the points, and this way it will lead to your virtual customer helper works just fine for your clients. If you have any further questions, do not hesitate to ask me in the comments below or on our social channels. Hey, and keep sharing if you consider this content useful: we will do our part to do a little better AI and anticipate the future we want so much!

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