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Writing a good prompt makes a big difference when you are using AI to generate test cases. If your prompt is clear, the AI gives you test cases that are accurate and useful. If your prompt is vague, you will likely end up fixing or rewriting most of them.&nbsp;



This article is a guide to writing better prompts. Not perfect ones, just practical and effective ones. You can try them out using the Generator Agent in<a href="https://testsigma.com/test-management"> Test Management by Testsigma</a>, which creates test cases from plain English, Jira tickets, designs, and even videos or screenshots. Let&#8217;s look at what makes a prompt actually work.



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 Creating effective prompts is the key to generating accurate and actionable test cases with AI. A well-structured prompt ensures clarity, relevance, and full coverage of user scenarios. With our Generator Agent, teams can turn plain English prompts into ready-to-use test cases.
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<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#Why_Prompt_Quality_Matters_in_AI-Generated_Testing">1 Why Prompt Quality Matters in AI-Generated Testing</a></li><li><a href="#What_to_Include_in_a_Good_Prompt">2 What to Include in a Good Prompt</a><ul><li><a href="#1_Purpose_of_the_Feature">2.1 1. Purpose of the Feature</a></li><li><a href="#2_User_Goal_or_Outcome">2.2 2. User Goal or Outcome</a></li><li><a href="#3_Main_Interactions">2.3 3. Main Interactions</a></li><li><a href="#4_Conditions_and_Edge_Cases">2.4 4. Conditions and Edge Cases</a></li><li><a href="#5_Reference_to_Source_Material">2.5 5. Reference to Source Material</a></li></ul></li><li><a href="#What_Weak_Prompts_Look_Like">3 What Weak Prompts Look Like</a></li><li><a href="#Prompt_Examples_Before_and_After">4 Prompt Examples: Before and After</a><ul><li><a href="#Vague_Prompt">4.1 Vague Prompt:</a></li><li><a href="#Improved_Prompt">4.2 Improved Prompt:</a></li></ul></li><li><a href="#How_to_Test_Your_Prompt_Quality">5 How to Test Your Prompt Quality</a></li><li><a href="#Closing_Thoughts">6 Closing Thoughts</a></li></ul></div>
<h2 id="h-why-prompt-quality-matters-in-ai-generated-testing">Why Prompt Quality Matters in AI-Generated Testing</h2>



When testers write or talk through test cases with teammates, we usually add extra details without even realizing it. We explain the goal, mention what should happen if something fails, and point out unusual cases to consider. All of this adds context, and that context helps others understand what needs to be tested.



AI does not have that kind of intuition. It does not assume or interpret unless you clearly tell it what to look for. If your prompt is too short, vague, or missing key information, the AI will generate test cases that are either too generic or miss important scenarios entirely. This is where human intelligence plays a critical role. AI can automate tasks, but it needs clear guidance. It depends on you to define the boundaries, priorities, and intent behind each feature or scenario. The better your prompt, the better the AI can support you.



For example, if you just say &#8220;test the login page,&#8221; the AI will not know:



<ul><li>What inputs are required</li><li>What a successful login looks like</li><li>What should happen when credentials are incorrect</li><li>Whether multi-factor authentication is involved</li><li>Which edge cases should be included</li></ul>



On the other hand, if you describe the feature clearly, state the user’s goal, and include both expected flows and failure conditions, the AI can create test cases that are much more complete and relevant. This is why a well-written prompt saves time. It reduces the need to regenerate or manually fix test cases. The better your input, the more accurate and useful your output will be.



<h2 id="h-what-to-include-in-a-good-prompt">What to Include in a Good Prompt</h2>



The best prompts are short, but not shallow. They balance clarity with coverage. Here are five elements that make a prompt effective.



<h3 id="h-1-purpose-of-the-feature">1. Purpose of the Feature</h3>



Describe what the feature does and why it exists. This sets the foundation.



Example: &#8220;This is a sign-up form for new users to create an account using their email and password.&#8221;



<h3 id="h-2-user-goal-or-outcome">2. User Goal or Outcome</h3>



Tell the AI what the user is trying to achieve. This helps shift the focus from system behavior to real scenarios.



Example: &#8220;The goal is for the user to register and land on the welcome page once the account is created successfully.&#8221;



<h3 id="h-3-main-interactions">3. Main Interactions</h3>



List the core steps or inputs involved. These are what the test cases will revolve around.



Example: &#8220;User enters email, sets password, accepts terms, and clicks submit.&#8221;



<h3 id="h-4-conditions-and-edge-cases">4. Conditions and Edge Cases</h3>



Call out scenarios that should be tested. This includes invalid inputs, optional fields, or alternate flows.



Example: &#8220;If the email format is invalid, show an error. Password must be at least 8 characters.&#8221;



<h3 id="h-5-reference-to-source-material">5. Reference to Source Material</h3>



If your feature is tied to a Jira ticket or design, include the link or ticket ID.



Example:  &#8220;Refer to JIRA-123 for UI specs and validations.”<gwmw style="display:none;">



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<h2 id="h-what-weak-prompts-look-like">What Weak Prompts Look Like</h2>



Just to be clear, a short prompt is not always a bad one. The problem is when it leaves out essential information.



<ul><li>&#8220;Login feature” This does not tell the AI what success looks like, what inputs are required, or how the system should respond. </li><li>&#8220;Generate test cases for the cart&#8221; Too broad. Are we talking about adding items, removing items, applying coupons, or checking out?</li></ul>



The more precise you are, the more aligned the test cases will be to the actual business logic.



<h2 id="h-prompt-examples-before-and-after">Prompt Examples: Before and After</h2>



Let’s look at two versions of the same idea.



<h3 id="h-vague-prompt">Vague Prompt:</h3>



&#8220;Generate test cases for login page.&#8221;



<h3 id="h-improved-prompt">Improved Prompt:</h3>



&#8220;Generate test cases for the login screen where users enter email and password. If credentials are valid, they land on the dashboard. If not, show an error message. Refer to JIRA-456 for more details.&#8221;



The second one gives the AI context, flow, expected outcome, and a reference. You are not leaving anything to interpretation.



<h2 id="h-how-to-test-your-prompt-quality">How to Test Your Prompt Quality</h2>



You might understand what a good prompt looks like in theory. But the best way to improve is to test it in practice. A prompt that seems clear to you may not give the kind of test cases you expect until you see the output. This is where the Generator Agent in<a href="https://testsigma.com/test-management-software"> Test Management by Testsigma</a> comes in, which is an AI-powered test management tool that helps you generate test cases from plain English prompts, Jira requirements, Figma designs, UI screenshots, or walkthrough videos. You can test your prompt-writing skills directly in the platform and fine-tune them with real feedback.<gwmw style="display:none;">



Here&#8217;s how to try it:



<ol><li>Go to the Test Cases tab in the Test Management by Testsigma dashboard.</li><li>Create a new folder to keep your generated test cases organized.</li><li>Select the Generator Agent and enter a prompt. For example, if you are testing a search feature, your prompt can look like:</li></ol>



<ul><li>“Generate test cases for the search functionality of an online bookstore where users can search by title, author, or genre, and apply filters like price and language.” <gwmw style="display:none;"></li><li>“Create test cases for a travel booking platform’s search bar, where users enter destination and dates, apply filters for flight duration and price, and view results in list or grid view.” </li></ul>



<ol start="4"><li>Instead of typing a prompt, you can also upload or link: <gwmw style="display:none;"></li></ol>



<ul><li>A Jira ticket that describes the feature or requirement</li><li>A Figma design file showing the UI and components</li><li>A screenshot of the screen or search area</li><li>A walkthrough video of the user performing the task </li></ul>



<figure class="wp-block-video"><video controls src="https://drive.google.com/file/d/1ybn3_LliS7UAmfgHIU8AlMKjyLSV4G3Z/view?usp=drive_link"></video></figure>



The Generator Agent will process your input and generate relevant test cases. For a search feature, the output might include:



<ul><li>Verify the default placeholder text in the search bar</li><li>Validate search results on keyword input</li><li>Check the response time for various queries</li><li>Ensure filters are applied correctly after the search</li><li>Confirm &#8220;no results” message for irrelevant terms</li></ul>



Review what the agent generates. If the test cases are too generic or missing critical details, go back and look at your prompt. Did you include the user goal? Did you describe expected behavior and edge cases? Adjust your input and run it again.



The process is quick and flexible. You do not need to get it perfect the first time. Prompt writing improves the more you try, and the Generator Agent gives you a hands-on way to sharpen that skill with real, usable output.



Test your prompts, refine your language, and use the results to build better, faster test coverage, powered by your own guidance.



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<h2 id="h-closing-thoughts">Closing Thoughts</h2>



Writing effective prompts is not about following a fixed format. It is about communicating clearly, with just enough context for the AI to do its job well. As test automation becomes more AI-driven, prompt writing is becoming a core testing skill. Treat it with the same care you give your test cases. Start practicing, test them with the Generator Agent, and see the difference for yourself. The quality of your testing can only rise to the quality of your input. Make your prompts count.<gwmw style="display:none;">

Anatomy of a Good Prompt to Use While Generating Test Cases

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qTest Overview: A Comprehensive Guide

Test management is one of the most critical components in the software testing lifecycle. Without a centralized system to organize, track, and maintain your tests, it would be difficult to improve coverage, regressions, or quality trends. Fortunately, there are a number of test management platforms available. In this blog, we&#8217;ll explore Qase, a modern, cloud-based, code-friendly solution, and introduce an alternative, Test Management by Testsigma, an intelligent, low-code platform.



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 Qase is a popular test management tool that helps QA teams organize test cases, track execution, and collaborate effectively. It’s well-suited for teams looking for structured test documentation and reporting. But if you’re exploring alternatives, Test Management by Testsigma offers the same with a Agentic AI twist.
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<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#What_Is_Qase">1 What Is Qase?</a></li><li><a href="#Features_Of_Qase">2 Features Of Qase</a></li><li><a href="#Advantages_Of_Qase">3 Advantages Of Qase</a></li><li><a href="#Limitations_Of_Qase">4 Limitations Of Qase</a></li><li><a href="#How_To_Choose_The_Best_Test_Management_Tool">5 How To Choose The Best Test Management Tool?</a></li><li><a href="#How_Can_Test_Management_By_Testsigma_Help_With_Efficient_Test_Management">6 How Can Test Management By Testsigma Help With Efficient Test Management?</a></li><li><a href="#Conclusionnbsp">7 Conclusion&nbsp;</a></li></ul></div>
<h2 id="h-what-is-qase">What Is Qase?<gwmw style="display:none;"></h2>



<figure class="wp-block-image size-full"><img loading="lazy" width="798" height="134" src="https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2022/09/23155455/Qase.png" alt="Qase" class="wp-image-49079" srcset="https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2022/09/23155455/Qase.png 798w, https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2022/09/23155455/Qase-768x129.png 768w" sizes="(max-width: 798px) 100vw, 798px" /></figure>



Qase is a powerful, cloud-native <a href="https://testsigma.com/test-management-software" target="_blank" rel="noreferrer noopener">test management platform</a> that supports manual and automated testing workflows. It allows QA teams and developers to create structured test cases, organize test suites, track execution, and integrate automation results, all in one place. <gwmw style="display:none;">



The platform is well-suited for Agile and DevOps teams who need a centralized solution with flexibility, detailed analytics, and seamless integrations with tools like Jira, GitHub, and CI/CD pipelines.



While Qase supports manual testing using custom reporters or APIs, it is primarily known for its ability to aggregate results from automation frameworks such as Pytest, TestNG, JUnit, Playwright, and Cypress. It also includes an AI assistant, AIDEN, to help generate or enhance test cases.



<h2 id="features-of-qase">Features Of Qase</h2>



Here are some of the key features that make Qase stand out:



<ul><li>Test Case Management: Create reusable test cases with step-by-step instructions, parameters, attachments, and custom fields.</li><li>Test Suites &amp; Plans: Organize test cases into suites and test plans for better execution strategy and planning.</li><li>Manual &amp; Automated Execution: Track results from both manual test runs and automated test executions.</li><li>Rich Reporting &amp; Dashboards: Visualize pass/fail trends, coverage metrics, defect linkage, and test run analytics.</li><li>CI/CD Integration: Native support for Jenkins, GitHub Actions, GitLab, and more to sync automation results.</li><li>Defect Management: File, track, and link bugs directly from failed tests and integrates with Jira, Redmine, etc.</li><li>Requirement Traceability: To ensure complete coverage, map test cases to user stories, epics, or requirements.</li><li>Role-Based Access Control: Manage access and permissions securely across large teams.</li><li>API Access: Expose test data via REST and GraphQL APIs for custom workflows.</li><li>AI Assistant: Help generate and refine test cases using their AI assistant AIDEN.</li></ul>



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<h2 id="advantages-of-qase">Advantages Of Qase</h2>



<ul><li>Developer-Friendly: CLI tools and framework integrations make it ideal for teams with in-house automation.</li><li>Scalable &amp; Cloud-Based: Multi-user support, project separation, and scalable test data handling.</li><li>Collaborative UI: Intuitive interface for manual testers with comment threads, version history, and shared steps.</li><li>Automation Aggregation: Import results from dozens of frameworks using ready-to-use reporters.</li><li>Powerful Analytics: Real-time dashboards help identify trends, regressions, and gaps in test coverage.</li><li>Affordable for SMBs: Transparent pricing suits startups and growing teams.</li></ul>



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<h2 id="limitations-of-qase">Limitations Of Qase</h2>



While Qase is a strong test management tool, it has a few limitations to consider:



<ul><li>No Native Execution Engine: Qase does not run tests; you need an external automation setup or CI pipeline.</li><li>Real Device Lab Not Included: No in-built support for running tests on real mobile or browser devices.</li><li>AI Still in Beta: AIDEN is promising but has limited capabilities compared to more mature AI systems.</li><li>No Visual Test Recorder: Test case creation is manual or imported, and lacks low-code creation tools.</li><li>Limited Test Maintenance Support: No self-healing or flaky test detection out of the box.</li></ul>



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 <a href="https://testsigma.com/blog/qase-alternatives/" class="goto-link">Alternatives to Qase</a>
 
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<h2 id="how-to-choose-the-best-test-management-tool">How To Choose The Best Test Management Tool?</h2>



Here are the most common pain points faced by QAs in test management&nbsp;



<ul><li>Scattered Test Data: Test cases are often duplicated across spreadsheets, documents, or email threads, creating confusion and a lack of visibility. Without a centralized system, tracking ownership and progress becomes difficult.</li><li>Inconsistent Test Execution: Variations in test steps, formatting, or expected results lead to conflicting outcomes, making it harder to reproduce or resolve bugs effectively.</li><li>No Version Control: Storing test cases in shared folders or Excel files does not create a version history. This leads to overwriting issues, outdated test steps, and loss of critical context over time.</li><li>Slow and Tedious Maintenance: Maintaining test cases is time-consuming, especially for large-scale or regression test suites. As test coverage increases, manual updates become a bottleneck.</li><li>Execution Time Increases: Manual test execution, especially during every sprint or release, significantly slows down the release cycle, affecting go-to-market speed.</li></ul>



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The best test management tool would solve the above pain points by offering,&nbsp;



<ul><li>AI-Powered Testing With Agent Support &#8211; AI agents help automate tasks such as test creation, execution, maintenance, and bug reporting.</li><li>Automated Regression Test Suites &#8211; Automate critical regression suites and run them in parallel across different environments and devices. This reduces manual effort and ensures you never miss a bug before release.</li><li>Self-Healing Tests &#8211; When UI elements change, such as a button label or selector, self-healing mechanisms automatically adjust the tests. This eliminates the need for constant script maintenance and keeps your automation stable.</li><li>Bug Tracking &#8211; With integrated defect management, you can log, link, and resolve bugs directly from failed test runs, eliminating the disconnect between testing and development tools like Jira or GitHub.</li><li>Reduced Test Flakiness &#8211; Smart platforms identify and isolate flaky tests, allowing you to maintain reliable pipelines. Flakiness is flagged automatically, helping QAs focus on real issues, not false alarms.</li><li>Enhanced Test Coverage &#8211; Use test coverage dashboards and traceability maps to track which requirements are tested, which are at risk, and how your testing evolves sprint after sprint.</li></ul>



<h2 id="how-can-test-management-by-testsigma-help-with-efficient-test-management">How Can Test Management By Testsigma Help With Efficient Test Management?</h2>



<a href="https://testsigma.com/test-management-software" target="_blank" rel="noreferrer noopener">Test Management by Testsigma</a> is an agentic AI-powered test management tool with advanced capabilities. Unlike Qase, Test Management by Testsigma’s AI agents can act like your QA coworker and remove the hassles of manually maintaining test cases. With the intelligent AI agent, Atto, test management becomes faster and wiser.<gwmw style="display:none;">



Here are agents that make test management autonomous:



<ul><li>Sprint agent &#8211; Automatically plans your tests once a Jira sprint starts by detecting the new sprint.&nbsp;</li></ul>



<figure class="wp-block-image size-full"><img loading="lazy" width="1192" height="872" src="https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2025/08/21101143/sprint.webp" alt="sprint planner" class="wp-image-60959" srcset="https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2025/08/21101143/sprint.webp 1192w, https://s3.amazonaws.com/blog-assets-production.testsigma.com/blogs/wp-content/uploads/2025/08/21101143/sprint-768x562.webp 768w" sizes="(max-width: 1192px) 100vw, 1192px" /></figure>



<ul><li>Generator agent &#8211; Create test cases with inputs from user requirements, Figma designs, PDFs, docs, screenshots, prompts, images, and videos.&nbsp;</li><li>Runner agent &#8211; This agent validates the created tests and helps with running your test cases within the browser, ideal for sanity checks and low-effort test execution.</li><li>Bug reporter agent &#8211; Bugs are intelligently identified and seamlessly integrated with issue trackers like Jira to reduce triaging time and improve bug lifecycle efficiency.&nbsp;</li></ul>



Apart from agentic capabilities, Test Management by Testsigma also offers the following features,



<ul><li>Self-healing tests &#8211; Tests get updated automatically whenever updates are made.</li><li>Jira Integrations &#8211; Supports native integration with Jira and also offers two-way sync for requirements traceability.</li></ul>



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<h2 id="conclusion">Conclusion&nbsp;</h2>



While Qase is made with much technical expertise, Test Management by Testsigma is agile and futuristic. Ultimately, the organization must choose a tool that matches its business needs. <gwmw style="display:none;">



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