Principles that form a base for testing WhatsApp chatbot efficiently

Principles that form a base for testing WhatsApp chatbot efficiently

To overcome the limitations mentioned above, QA professionals need to maintain certain principles to ensure the relevance of their chatbot testing strategies such as:

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Identify the case of using a chatbot, a list of requests and potential responses for each possible scenario and prioritize it based on its interests

KPI and testable requirements must be clearly defined for individual test cases

Different verticals have different KPIs such as KPI Technology will include the expected conversation and level of intelligence from ChatBot while KPI businesses include average customer ratings, self-services and sales conversion rates etc. And this must also be considered when building a test strategy

After defining the requirements that can be tested, the WhatsApp technology architecture needs to be understood because this forms the core of the design case design

Testing of non-functional performance health applications included in the test strategy must include authentication, conversion encryption, compliance and authorization validation.

What should be considered when testing the chatbot?

Because the function of chatbots varies, so is the things that need to be examined when testing the chatbot. In general, it needs to be tested if the bot is functioning correctly in all cases of use.

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Support 24 x 7

All-time support is one of the main reasons behind the popularity of Chatbot. Chatbot Healthcare must be able to provide end-users at least with basic information support at any time. In this case, they request information such as visits, hospital addresses or clinics, telephone numbers, etc., they must immediately receive the response.

 

Information collection

When healthcare software testing service chatbot, someone must check whether the bot can gather patient information correctly. Information that is lost or incorrect because the deviation in the bot section can cause unnecessary problems for patients and even inhibit effective treatment. After collecting, the bot must also be able to record relevant information and pass to the database.

 

Integration

The chatbot must be integrated correctly with the digital infrastructure of existing hospitals. Only so, it will be able to schedule an appointment and ask for renewal correctly. The leading company that offers health service chatbot testing services checks how well the bot is integrated with a hospital management system or practice.

 

Convolution

In this field, the bot must be able to do some small talk so that the patient gets acquainted by chatting. Therefore, it is necessary to check how well the bot is in a friendly conversation and makes people feel comfortable. While answering end-user questions, bots must be able to give them relevant responses.

 

Other features to be tested

Apart from this, all streams need to be examined for shortcomings. For example, bots need to use the entity or keyword correctly to extract information. If the bot does not understand the request, it must have a general response to install. The bot must also be able to handle every type of intention and understanding the phrases that are different from the same intention.

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