Quality Intelligence, Documentation & AI

Quality Intelligence, Documentation & AI

• 1.
  Quality Intelligence, Documentation& AI In this article I will explore how AI could impact QA when it comes to communicating and documenting our work. I was working on some job descriptions for QA roles, using ChatGPT to facilitate the work, when I started thinking about documentation in general and how ChatGPT could impact that in the future. So I of course asked ChatGPT to summarise my thoughts in a more readable and eloquent format.
• 2.
  As I workon documentation, I find myself reflecting on how tools like ChatGPT are poised to fundamentally change the way we document and communicate information. In many ways, ChatGPT functions like a compiler in programming. Just as developers write code in a language like C++ and then compile it into machine-readable instructions, we might begin to document information in a way that's specifically designed as input for AI tools like ChatGPT. The AI then takes that input and transforms it into polished, context-appropriate outputs—whether that's formal corporate communication, executive summaries, or other forms of documentation. This could lead to a shift in how we approach documentation. Instead of focusing on crafting a perfect final product, the emphasis will be on structuring information in a way that's optimal for AI interpretation. In turn, this changes the skill set required for documentation. Writing becomes less about style and presentation and more about clarity, structure, and ensuring all necessary details are included. Over time, this shift could standardize how we document. The "input" format we create for tools like ChatGPT might become a universal template for capturing and organizing knowledge—streamlined, efficient, and focused on utility rather than presentation. The AI would then handle the work of adapting that input into various formats tailored for different audiences or purposes. In essence, ChatGPT and similar tools may not just assist with communication but redefine the very process of documentation itself. The way we write, structure, and share information will likely evolve to align with the strengths of these AI systems, enabling faster, more efficient workflows and communication.
• 3.
  So what doesthis mean for Quality Intelligence? We have a lot of different ways we communicate in our work: ●​ Test reports ●​ Test cases ●​ Exploratory test charters or missions ●​ Requirements ●​ Test plans ●​ Release reports ●​ Acceptance criteria ●​ Risk assessments ●​ Documentation of test methods and techniques ●​ Test processes And the list goes on. But with ChatGPT doing the heavy lifting for us when it comes to word-smithing, formatting, catering to different audiences, adjusting for different formats, focusing on different priorities, etc. something else becomes even more important. Something that was always the most important, but sometimes got lost when trying to create a beautiful test report, or that test case with the perfect granularity. The core message. The actual information/intelligence we are trying to provide to our different stakeholders, which we have gathered through our work. The core competence of a tester. But there will be one new step. Being able to provide that information/intelligence in a format which is easily and efficiently accessible to AI. Just like developers need to know a high-level programming language. And hopefully we will see standardization of that format in my proposed future. In the end, how we communicate and transfer knowledge affects the way we think, so who knows what the future implications will be.