Chatbots are a clear trend for 2017, with experts predicting its high growth in the near future. Such AI programs are not only a huge benefit for companies, but to launch a chatbot to hire more representatives (forgiving humans!), But also a huge benefit for customers and prospects who have to ( Sometimes usually longer) will not have to wait. help. The bot can serve multiple customers simultaneously, handle orders and simple queries quickly.

Basically, a business should QA test its chatboat thoroughly, so that it can bring real benefits. the interest will inevitably go away. .

Treating your chatbot like a human

Last summer there was many speculations that chatbots are rather stupid because they do not deal well with the Turing test. WTF man? Chaatboats are not a toy for solitary, they are functional tools to achieve a certain programmatic goal. Chatbots are not required to do a real human task, but answer with the right answers and at the right time.

Sure thing to add some humanizing features, it would be nice (and highly recommended). For example, a bot may reply with a heart emoji, once a caller says “I love you”. These kinds of things will be a great bonus for customers as they build a personal relationship with your company, and their entertainment will probably grow into more empathy for your business. Your customer and your company will have a common history: it will be difficult for him to turn his eyes to his competitors. Real emotional factors rule in life, hence in business.

Use the appropriate tool for your chatbot

Before beginning, we have to choose the devices with which we will work. Bots are not generic software, and its QA testing certainly requires specific tools. How should they work?

The main task for a chatboat is to understand the context of the conversation flow and to properly deal with an issue a user needs to resolve. Therefore, adequate equipment should examine these features as detailed as possible (especially as it concerns some routine controls) and provides with a clear review, which converts to better numbers that push valuable insights.

Bot flair should be considered best because of its ability to control unexpected inputs such as dirty words, colloquialisms and other stuff. However, it is paid in full. And if you just want to know how your bot typically behaves in different channels, you can just go with the bot test, which is completely free. The daemon will be some middle between them as it offers free and paid membership with different outreach. It provides with basic functions but also offers options for premium features.

If implemented by skillful hands, the testing tool will certainly make the whole process easier. However you cannot completely rely on test automation – robots will never dismiss humans in controlling robots (ironically, right?).

So, what should you start? It is obvious that you should check what a chatbot is specifically designed for. This is the general logic of your servant. You don’t want to answer your botty with the right answer, but the right question?

 If something goes wrong, you know what to do, since you or your coders have directly coded responses to those inputs.

This step can be compared to the usual process of proofreading and editing your post on Facebook. Same thing with your bot: Make sure you are working well on basic conversations before showing your AI child to more people. Note that it is mandatory to test your bot on all channels, to avoid any issues with integration.

You can include professional QA testers at this level. Overall analysis will be even more efficient if the testing team starts with you from the beginning and understands the more basic details of your project.

Pre-launch: Chatbot beta testing

To ensure that your bot will be ready to serve, it has to be beta tested before starting. Once you are done with basic QA and chatboats work as planned, you need to open it up to a wider audience. It should be a closed group of users, who will literally try to break your beautiful bot and then give you information about it.

More scientifically stated, the beta tester will investigate chatboats with unexpected input. These include commonly mentioned slang, jargon, colloquial, British, Australian and other English versions.