Hi everyone! I'm Kayson from AgileTest.
AgileTest Summary & Analyzer is an AI assistant built to solve a problem every QA and QC team eventually faces, not a lack of data, but the time it takes to turn that data into clear answers. In a typical testing workflow, all the information already exists. Yet when a simple question comes up, finding an accurate answer often requires stopping work and manually piecing information together.
This article walks through a familiar QA working day, explains what could disrupt the flow, and explores the root cause. Finally, it introduces how AgileTest Summary & Analyzer helps QA teams access insights faster, without changing how they already work.
Imagine that you are a member of a QA/QC team, using Jira to manage test cases daily. Let’s walk through what a typical working day can be.
Your day usually starts with reviewing the work items assigned to you. They can be user stories, bugs, test tasks, or sub-tasks tied to ongoing development. If there are changes, you update these Jira items to ensure testing stays aligned with the latest scope. These activities usually take you from 1 to 2 hours.
Once features are ready, you begin running tests and recording results. Test cases are executed, outcomes are documented, and defects are logged back into tickets or your testing platforms. You often spend around 5 to 6 hours running tests and attaching findings to these related test cases.
Toward the end of the day, you want to understand the overall testing progress and results. You navigate to dashboards or reports, apply filters, and review charts to track test status, defect counts, and remaining work. This work can occupy from 0.5 to 1 hour.
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In theory, this workflow fits neatly into an eight-hour working day. Reviewing work items, running tests, and checking dashboards are all reasonable, necessary activities for a QA or QC role. If everything goes according to plan, this flow works.
But you know what? In reality, a QA engineer’s day rarely follows such a clean path. The disruption doesn’t have to come from a system crash, a major defect, or a production incident. Very often, it starts with something much smaller: a simple question from a colleague or even from yourself.
Answering these questions often means stopping your current task and going back to look for information. You need to read through notes, check results, and view related issues to make sure your answer is accurate. Some workarounds, such as going to the dashboard and applying a filter to check relevant data, still require you to spend time and manual effort for these pop-ups. What sounds like a quick question can easily turn into several minutes of searching and double-checking.
When this adds up many times a day, the impact becomes noticeable. Your attention is repeatedly interrupted, and testing takes longer than expected. Your carefully planned workday slowly becomes harder to manage, even though nothing seems seriously wrong on the surface.
In any testing process, communication is not optional; it is essential. Questions from developers, product owners, or QA leads are a normal and healthy part of ensuring quality. Even asking yourself questions while testing is a sign of responsibility, not inefficiency. The goal is not to avoid being asked questions, nor to reduce collaboration. The real challenge lies elsewhere.
Most of the time, the answers already exist. They are buried in test results, ticket updates, comments, dashboards, and reports. You need to stop your current work, switch context, and manually piece together information from multiple places.
The delay doesn’t come from the question itself: it comes from how long it takes to find a reliable answer.
Good news, AgileTest Summary & Analyzer, a customized Rovo Agent developed by AgileTest, is designed to help.
AgileTest Summary & Analyzer is an AI-powered assistant built for QA and QC teams working with Jira Software. Once configured, it can access your existing test data, so it can scan the latest information and provide up-to-date answers.
Instead of asking you to change how your team works, AgileTest Summary & Analyzer works alongside your current workflow. It turns the data you already maintain into concise summaries and insights, helping you respond to testing questions without manually searching across pages.
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After installing and configuring the access for AgileTest Summary & Analyzer on your instance, you can ask it anytime you need to get updated on test results.
Unlike traditional reports or dashboards that require setup and system knowledge, AgileTest Summary & Analyzer works through a simple conversation. You can start asking questions and get answers, even if you don’t know how to use the system yet. The agent will suggest initial prompts and follow-up questions to improve answer quality.
Once you ask questions, the agent scans all related information in your instance and brings all test data for you. This makes the interaction feel less like running a report and more like having a knowledgeable QA teammate who understands your project and testing history.
One more thing: AgileTest Summary & Analyzer works right alongside your testing activities in Jira. There’s no need to switch tabs or change screens; you simply ask the agent to gather the test data while you continue testing.
Install AgileTest and try out AgileTest Summary & Analyzer now.
QA teams don’t struggle because they lack data—they struggle because turning that data into clear answers takes time. When finding information requires manual searching and context switching, even simple questions can slow down testing work.
AgileTest Summary & Analyzer helps close this gap by making testing insights easier to access. By turning existing Jira test data into clear, up-to-date answers, it allows QA teams to stay focused on testing, communicate more efficiently, and keep their workday predictable—even when questions come in.
Kayson Phan
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