How I use ChatGPT as a functional analyst

Blog

Posted on

20/04/2023

Let's discuss the AI hype and how AI aids me in my work as an analyst. Specifically, I want to talk about ChatGPT, a large language model trained by OpenAI, and how it has helped me to be more productive as a functional analyst. I use ChatGPT to generate user stories from ideas, create product requirement documents with raw input, generate test cases and scenarios, and even generate test data.

ChatGPT in my day-to-day work
Benefits of using ChatGPT
Drawbacks of using ChatGPT
Conclusion

ChatGPT in my day-to-day work

Creating user stories

ChatGPT can help me to quickly generate user stories from high-level ideas. I can provide ChatGPT with a simple statement, such as "As a user, I want to be able to reset my password", and it will generate a more detailed user story, including acceptance criteria and other relevant information.

Creating requirements documentation

ChatGPT can also help me to create requirements documentation. I can provide it with raw input, such as notes from a meeting or a brainstorming session, and it will generate a more detailed document that includes the necessary information.

Writing test cases

ChatGPT can also help me to write test cases. I can provide it with a set of requirements or user stories, and it will generate test cases that cover the different scenarios and edge cases that I need to consider. This not only saves me time but also ensures that I have comprehensive test coverage.

Sparring partner

Sometimes I like to bounce ideas off to ChatGPT. How would you do this? What do you suggest in this case? It’s like a search engine on steroids.

Generating test data

ChatGPT can also help me to generate test data. For example, if I need to test a system that requires a large dataset of customer records, I can provide ChatGPT with the requirements for the customer records, and it will generate a large dataset of records that meet those requirements.

Benefits of using ChatGPT

Increased productivity

ChatGPT can quickly generate high-quality content, which saves me a lot of time and allows me to focus on other critical tasks.

Multitasking capabilities

ChatGPT can work on multiple tasks simultaneously, which allows me to delegate some of the writing tasks to it and focus on more important work.

Improved testing process

ChatGPT can generate multiple test cases and scenarios, which improves the efficiency of my testing process.

Cost-effective solution

ChatGPT is a cost-effective solution that can reduce the need for additional staff or external contractors to complete the same work.

Drawbacks of using ChatGPT

Limited human input

While ChatGPT can generate high-quality content, it still requires input and context from a human expert to produce high-quality deliverables.

Limited domain knowledge

ChatGPT has limited domain knowledge and may be unable to provide specialized insights or understand the nuances of specific industries or fields.

Ethical considerations

As AI continues to advance, there are ethical considerations to be addressed, such as the potential for AI to replace human workers or perpetuate biases.

Conclusion

While ChatGPT is a powerful tool, it's important to note that it still requires human input and context. For example, I need to provide ChatGPT with the relevant information and context to ensure that it generates accurate and relevant output.

In conclusion, ChatGPT is a valuable tool that has helped me to be more productive as a functional analyst. By using ChatGPT to generate user stories, write test cases, and create requirements documentation, I can save time and focus on other critical tasks. However, it's important to note that ChatGPT still requires human input and context to produce high-quality deliverables. By using ChatGPT in a responsible and ethical manner, we can harness its benefits while mitigating its drawbacks.