WTTranscript_10thAug2024

About the Session

In a recent Weekend Testing session, participants were tasked with using a Language Model (LLM) to generate a test report for the Weekend Testing website. The mission involved creating a report that included sections such as an overview, a description of the website, and areas for improvement, with a particular focus on the homepage, spelling errors, and navigation issues.

The testers used various LLMs, including ChatGPT and a custom GPT for generating QA test reports. They divided the tasks among themselves, with each member focusing on different aspects like UI/UX, filter functionality, and responsive design. The process involved multiple prompts, collaboration, and real-time adjustments based on the LLM’s responses.

The testers highlighted challenges in ensuring that the LLM understood the context and produced accurate results. The final reports varied in format and content, with some members expressing the need for more refined prompts and better LLM understanding. The session concluded with discussions on improving LLM usage, the importance of clear instructions, and the potential of integrating sample reports for better output. Despite some difficulties, the exercise was valuable in exploring the capabilities and limitations of LLMs in generating detailed and accurate test reports. (Written by AI)