BHF is a cardiovascular research charity in the United Kingdom. They have a compendium of data about heart and circulatory diseases. This data is used by researchers and policy makers.
Looking through piles of Excel Sheets, searching for information is a tiring and cumbersome process. BHF website users are often in the search of a single statistic, but in order to find it, they have to scroll through large bits of the BHF compendium. Currently, the only alternative to browsing hundreds of tabular data is to ask the British Heart Foundation's support team for help. That slows down the work process for users and creates more hassle for BHF's staff.
Therefore HeartBOT is a chatbot that the BHF can integrate into their own website which is simple to maintain and develop and can answer user FAQs and retrieve data from the BHF compendium. One of our main goals for HeartBOT is also to make it user friendly. Some of the key requirements we gathered for HeartBOT from the users and client are that it must be implemented in a website, it must retrieve data from the compendium, it must be user friendly. and it must answer FAQs about the data.
Question | Answer |
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Q1) Tell us about your job | Most of the users of the chatbot are either researchers, policy makers or internal BHF staff |
Q2) How do you currently get your data? How will the BHF chatbot be useful to you? | Users currently manually retrieve data that they need using the excel sheets on the BHF website or they email BHF staff and ask them to send the required data |
Q3) What do you think is the biggest problem with the current method of data enquiry?(Asking the BHF team/looking at the website) | Retrieving data using the current method is time consuming and tedious |
Q4) What is the most importent feature you would like to see in the chatbot? | The chatbot should provide clear answers to queries and should be user-friendly. It must help the users retrieve data faster |
The following three questions are multiple choice: | |
Q5) The chatbot must present the users with an FAQs section, to save their time | Users agree that there should be a FAQ section |
Q6) The chatbot should be able to perform data analysis, including simple arithmetic operations | Users agree that the chatbot should be able to perform data analysis including simple arithmetic operations |
Q7) The chatbot must be a part of the BHF website, and not a standlone application | All users strongly recommend the chatbot should be on a website (particularly on the BHF website where the data currently exists) |
Scenario 1 - Charles Darwin (Experienced Researcher): Charles is a cardiology Ph.D. student who has an interest in researching cardiovascular diseases and needs to extract data from the BHF website swiftly. He has basic computer knowledge and wants to spare himself the hassle of analyzing long Excel sheets and text documents. Charles entered the BHF website and on entry he saw a popup for the HeartBOT, greeting him and offering him help with his research. He was quickly able to find accurate answers to most of his queries just by consulting the FAQs section, provided by the chatbot. For his additional questions, he had no trouble finding additional data, because the chatbot was easy to operate and he felt that the whole research environment was user-friendly. Satisfied with the results, Charles was able to finish his paper on coronary heart disease, filling in the missing data and learning a lot of new things from the underused resources suggested by the bot, which he had been curious about.
Scenario 2 - Michael Faraday (Policy Maker): Michael works as a policymaker for the Medicines & Healthcare products Regulatory Agency. He needs accurate data on the spot to help him with his presentations. In his last meeting, he was discussing the regulation of tobacco products, so he was delighted to find that the HeartBOT would direct him fast and securely to infographics that would make his presentation more elaborate. Not only that, but he was also surprised to see how fast the website was operating in answering his queries about the latest data available. Michael had to perform a fair number of calculations to convince his colleagues about the proposed new policy, but the chatbot did it instead of him, providing access to various data analysis operations, including simple arithmetic. Michael's presentation became really convincing and all his colleagues agreed with the proposed regulations, making Michael's experience with the chatbot satisfying and worthwhile.
ID | Use Case for User (Researcher/Policy Maker/BHF staff) |
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UCU1 | Searching for statistics about heart diseases |
UCU2 | Asking a FAQ |
UCU3 | Greeting/conversing with HeartBOT |
UCU4 | Using the help button |
Use Case | |
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ID | UCU1 |
Actor | Researcher/Policy Maker/BHF staff |
Description | Searching for statistics about heart diseases |
Main Flow |
|
Result | Statistic retrieved |
Use Case | |
---|---|
ID | UCU2 |
Actor | Researcher/Policy Maker/BHF staff |
Description | Asking a FAQ |
Main Flow |
|
Result | FAQ answer received |
Use Case | |
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ID | UCU3 |
Actor | Researcher/Policy Maker/BHF staff |
Description | Greeting/conversing with HeartBOT |
Main Flow |
|
Result | Conversation with HeartBOT |
Use Case | |
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ID | UCU4 |
Actor | Researcher/Policy Maker/BHF staff |
Description | Using the help button |
Main Flow |
|
Result | Received guidance/help for using HeartBOT |
Functional:
Non-Functional:
Functional:
Non-Functional:
Functional:
Non-Functional:
Functional:
Non-Functional:
Note: Throughout the development phase, we have moderatley refined and adjusted a few of requirements in coordination with the client to better fulfil all requirements