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	<title>Quality Archives &raquo; Neuro</title>
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		<title>Why Every QA Test Automation Engineer Needs Jenkins</title>
		<link>https://www.myneuro.ai/blog/why-every-qa-test-automation-engineer-needs-jenkins/</link>
					<comments>https://www.myneuro.ai/blog/why-every-qa-test-automation-engineer-needs-jenkins/#comments</comments>
		
		<dc:creator><![CDATA[Adam Smith]]></dc:creator>
		<pubDate>Fri, 20 Aug 2021 10:10:56 +0000</pubDate>
				<category><![CDATA[engineering and quality]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[Software Testing]]></category>
		<guid isPermaLink="false">https://www.myneuro.ai/?p=4462</guid>

					<description><![CDATA[<p>Continuous integration is a game-changer for increasing the effectiveness of Test Automation at every step in the software development pipeline. Continuous integration adoption brings new opportunities into the testing process.   </p>
<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/why-every-qa-test-automation-engineer-needs-jenkins/">Why Every QA Test Automation Engineer Needs Jenkins</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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							<p>This post will emphasise <a href="https://www.myneuro.ai/reporting-across-data-sources/">continuous integration</a> from a Test Automation Engineer’s point of view and explain the benefits that are achievable with it. Continuous integration is a game-changer for increasing the effectiveness of Test Automation at every step in the software development pipeline. Continuous integration adoption brings new opportunities into the testing process. For many, the cornerstones in that process are the cucumber reports.</p><p>Continuous Integration was initially a development methodology, automating the process of building software.  However, this is improved where Test Automation Engineers commit changes to test automation source code into the same, shared repository. The benefit is that it enables teams to find and resolve issues as early as possible in the development process &#8211; the tests run as soon as the code is ready. Integrating tests like this has quickly become a best practice method, because of how much it improves efficiency. </p><p><strong>What tool should you use?</strong></p><p>There are many tools that teams can use to implement continuous integration. One of the most popular ways to implement this method is by using <a href="https://www.jenkins.io/">Jenkins</a>, which is an open-source automation tool written in Java. It has a super extensive plugin ecosystem. Its architecture lends itself to extensibility and innovation. You will also find many options when it comes to features, variety overall and the support of third-party tools. If your task includes extracting the result of Cucumber tests, you definitely should try the <a href="https://plugins.jenkins.io/neuro-cucumber/">Neuro Cucumber reports plugin</a>.</p><p>Using Jenkins, test engineers can spend less time and effort on testing or managing test automation. Since Jenkins is free, easy to use and user-friendly, test engineers are able to get up and running quickly. They can schedule and run test automation cases when they are ready or based on triggers, and then dedicate their time to other tasks. </p><p><b>Also Read</b>: <a href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">The Power of JIRA for Project Management</a></p><p><strong>Why Jenkins?</strong></p><p>Jenkins provides both test summaries and information on test results as cucumber reports. On the test result “graph”, users can see how test results look like over time and gain more information on how to move forward. Test summaries give specific information on the number of tests, how long they took to execute and other information that can play a role in total productivity. </p><p>Understanding the cause of a test failure is critically important for test engineers. Jenkins provides details on a test failure to give testers more detailed information. Using Jenkins, you can easily access to the details on a test failure in one click. Once you navigate to these details you will find the error or failure message and information about the test failure. This gives test engineers the opportunity to sort out complex issues they may not have seen before testing.</p><p>Jenkins is a great choice if you are ready to jump into test automation. It works well with the continuous integration methodology and helps your team complete the testing process more quickly and produce beautiful cucumber reports easily. There is a reason why Jenkins is one of the most popular continuous integration tools with test engineers! It packs everything that companies needs to support test automation into one highly functional tool.</p><p><b>Also Read</b>: <a href="https://www.myneuro.ai/blog/value-stream-management-platform/">What is value stream management?</a></p><p>Automating testing empowers your team and allows them to be more confident in the work that they do because they can quickly see the results. When you couple that with the fact that Jenkins continues to evolve to keep up with the industry, its a no-brainier to go this route.</p><p><em>You might also be interested in our blogs on <a href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">jira dashboards</a>, <a href="https://www.myneuro.ai/blog/xray-getting-the-best-out-your-test-management-tool/">xray dashboards</a>, or <a href="https://www.myneuro.ai/blog/test-management-tools-why-we-recommend-zephyr/">zephyr dashboards</a>.</em></p>						</div>
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		<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/why-every-qa-test-automation-engineer-needs-jenkins/">Why Every QA Test Automation Engineer Needs Jenkins</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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		<title>Xray &#8211; Getting the Best Out Your Test Management Tool</title>
		<link>https://www.myneuro.ai/blog/xray-getting-the-best-out-your-test-management-tool/</link>
		
		<dc:creator><![CDATA[Adam Smith]]></dc:creator>
		<pubDate>Fri, 20 Aug 2021 10:04:24 +0000</pubDate>
				<category><![CDATA[test management]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[reporting]]></category>
		<category><![CDATA[Software Testing]]></category>
		<guid isPermaLink="false">https://www.myneuro.ai/?p=4452</guid>

					<description><![CDATA[<p>Xray Test Management is a JIRA plugin that allows teams to manage all test items as JIRA issues. We will discuss the testing lifecycle activities and break down how to effectively use Xray entities and features to plan, prepare, execute and report on the testing performed. </p>
<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/xray-getting-the-best-out-your-test-management-tool/">Xray – Getting the Best Out Your Test Management Tool</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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							<p>In this blog post we will focus on <a href="https://www.getxray.app/test-management">Xray Test Management</a> which is a JIRA plugin that allows teams to manage all test items as JIRA issues. We will discuss the testing lifecycle activities and break down how to effectively use Xray entities and features to plan, prepare, execute and report on the testing performed.</p><p><strong>Test planning and design </strong></p><p>An important aspect of test management is being able to plan effectively and structure tests in test plans and cycles in accordance with the overall project schedule.</p><ul><li>Let’s review the Xray entities, which provide the flexibility for users to perform the following:<br />Create <em>Tests</em> to validate specific JIRA requirements, which then can be linked to provide end-to-end traceability.</li><li>Add <em>Preconditions</em> to tests to ensure initial conditions are met, for example for a login test, a precondition can be that a user has been invited and has already registered on the system.</li><li>Sort and organise tests within <em>Test Sets</em>, which essentially can be used as a collection of tests such as ‘Login tests’.</li><li>Create a <em>Test Plan</em> and import <em>Tests</em> or <em>Test Sets</em> into this plan to capture the current version of these tests, this can be used for fortnightly sprints or System Integration Testing (SIT) for instance.</li><li>Create a <em>Test Execution</em> which contains a list of <em>Tests</em> or <em>Test Sets</em> to be executed along with detailed steps, expected results and recorded execution status for each test. Typically <em>Test Executions</em> are linked from a <em>Test Plan</em>, however they can also be created in an ad-hoc manner.</li></ul><ol><li style="list-style-type: none;"> </li></ol><ol><li style="list-style-type: none;"> </li></ol><p>Testers are usually delegated functional areas to script test cases for, as an example a tester may be required to analyse requirements for logging into a system. They will then script test cases in Xray specifically around the Login functionality, covering both positive and negative scenarios and ensuring the acceptance criteria has been met. These tests can then be grouped into a Login test set and order them in a logical fashion.</p><p>The test manager who oversees planning can then create specifically a SIT test plan for example, and import the Login test set as well as others, which contain the tests to build out sufficient test coverage for the system under test.</p><p><strong>Test execution</strong></p><p>Multiple test executions can be created from this SIT test plan<em>,</em> which aligns with the sprint deliverables to map out what is being tested in Cycles 1, 2 and 3 over the coming months. This is to ensure all tests are executed and there is room for defects to be identified, fixed and re-tested in subsequent cycles.</p><p>The overall SIT test plan will show the total number of test executions per test across the cycles, but the overall status will always reflect the latest version of the test executed. For instance, if a specific test fails in Cycle 1, is blocked in Cycle 2 and passes in Cycle 3, then the test plan will detail there were 3 test executions for this test and show an overall status of PASS in the test plan.</p><p>Xray provides all the bells and whistles for test executions, allowing the tester to execute tests with detailed steps and expected results, along with recording any comments, evidence/attachments, outcomes and raise associated defects in JIRA.</p><p><span style="font-weight: bolder; letter-spacing: 0.27px;">Also Read</span><span style="letter-spacing: 0.27px;">: </span><a style="letter-spacing: 0.27px;" href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">The Power of JIRA for Project Management</a></p><p>It also supports creating both manual and automated tests, with the ability to specify tests in Cucumber BDD style language, to hook into test automation frameworks. Xray 5.0 was released in July this year, which now supports key major testing features such as parameterized tests, data-driven testing and compatibility with the Robot Framework v4.0. These tests can then also be linked to continuous integration (CI) systems such as Jenkins or GitLab.</p><p>One of the key benefits of this Xray is encapsulating requirement, test and defect entities all within JIRA and therefore having that full traceability across the project. This transparency is imperative for auditability which is vital for organisations running large complex projects.</p><p><strong>Test Reporting</strong></p><p>Xray provides test managers the ability to perform MI reporting with its out-of-the-box reports and gadgets, covering some key areas such as:</p><ul><li>Overall requirements coverage.</li><li>Test run summary.</li><li>Test coverage.</li><li>Test plans metrics by status.</li><li>Test sets list by status.</li><li>Test executions list by status.<br /><br /></li></ul><p>These gadgets can be added and sorted on a dashboard, as well as setting filters against each gadget. This allows users to present an overall dashboard to senior stakeholders on key testing metrics.</p><p><span style="font-weight: bolder; letter-spacing: 0.27px;">Also Read</span><span style="letter-spacing: 0.27px;">: </span><a style="letter-spacing: 0.27px;" href="https://www.myneuro.ai/blog/value-stream-management-platform/">What is value stream management?</a></p><p>A couple of limitations we have encountered with the Xray reporting features, is that there is only <a href="https://docs.getxray.app/display/XRAY/Reporting+using+Gadgets" target="_blank" rel="noopener">one evolution type chart</a> (i.e. data over time) and no ability to analyse current data and forecast or predict upcoming trends. Currently Xray only has a <em>Test Evolution gadget</em> that shows test execution status trends for a group of Tests over a given time frame. It would be useful for test managers to view other evolution type charts for example, test scripts created over time or unresolved test executions across priority over time.</p><p><strong>Neuro for Xray</strong></p><p>Over at Dragonfly HQ, we’ve worked with multiple test management tools and plugins and given all the features and benefits outlined earlier on Xray, we’ve decided to take it one step further and that’s one of the main reasons why we built <a href="https://www.myneuro.ai/"><em>neuro</em></a><em>. </em></p><p>Neuro is our engineering and quality management platform that turns insight into action, integrating with multiple systems including JIRA, Xray, Zephyr and Jenkins &#8211; removing the need to configure and manage reporting dashboards across each system separately. What this means for <em>neuro</em> users is having a single source of truth and being able to produce an overarching report capturing JIRA issues, defects, test execution and automation build outcomes all in the one consolidated view.</p><p>Some other key features of <em>neuro</em> are insightful out-of-the-box dashboards (including multiple evolution type charts), being able to enable predictions for charts over time, or to set project goals to closely track key milestones. For example, we can track a UAT Test completion milestone by visualising work throughput over time when constrained by a specific end date and identify when action is required to ensure the milestone is achieved.</p><p>Stay on top of your testing with Xray and <a href="https://www.myneuro.ai/"><em>neuro</em></a>, by discovering <em>neuro’s</em> other key features and how it can drive efficiency, increase value and accelerate your growth by talking to our team today.</p><p><em>You might also be interested in our blogs on <a href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">jira dashboards</a>, and <a href="https://www.myneuro.ai/blog/test-management-tools-why-we-recommend-zephyr/">zephyr dashboards</a>.</em></p>						</div>
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		<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/xray-getting-the-best-out-your-test-management-tool/">Xray &#8211; Getting the Best Out Your Test Management Tool</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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		<title>JIRA Project Management &#038; Reporting Tool</title>
		<link>https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/</link>
		
		<dc:creator><![CDATA[Adam Smith]]></dc:creator>
		<pubDate>Mon, 21 Jun 2021 08:35:18 +0000</pubDate>
				<category><![CDATA[project management]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Product]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[value stream management]]></category>
		<guid isPermaLink="false">https://www.myneuro.ai/?p=3807</guid>

					<description><![CDATA[<p>JIRA is one of the leading work and project management tools currently used by more than 65,000 companies globally. Here is a blog explaining the power of Jira reporting tool.</p>
<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">JIRA Project Management & Reporting Tool</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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							<p>JIRA is one of the leading work and project management tools currently on the market. According to <a href="https://www.atlassian.com/es/company">Atlassian</a>, more than  200,000 customers are using JIRA, spreading across all industries and sectors due to the flexibility and customisations that allow it to cater for any team’s unique workflows.</p><p>A key challenge of project management is staying on top of multiple moving parts, whilst keeping a close eye on project constraints such as time, scope, resource, and budget. JIRA project management tools aim to address this challenge by empowering teams with the ability to plan, prepare and track the status and progress accurately. The JIRA reporting dashboard allows the team to add gadgets and arrange them in a logical and business-ready format, which can be quickly accessed and easily interpreted by the target audience.</p><p><b>JIRA Reporting Tool</b></p><p>In addition to this, the in-built JIRA reporting tool is a key feature to measuring the success of any project or team. It has multiple out of the box reports, however the following are those that we believe are most useful for project management:</p><ul><li style="list-style-type: none;"><ul><li aria-level="1"><a href="https://confluence.atlassian.com/jirakb/how-is-the-jira-average-age-report-calculated-967898701.html">Average Age Report </a>– represents the average age in days of unresolved tickets.</li><li aria-level="1"><a href="https://confluence.atlassian.com/jira063/created-vs-resolved-issues-report-683542430.html">Created vs Resolved issues report</a> – comparison of tickets opened vs closed over a given time period.</li><li aria-level="1"><a href="https://confluence.atlassian.com/jira063/resolution-time-report-683542427.html">Resolution Time Report</a> – represents the average time taken to resolve issues.</li><li aria-level="1"><a href="https://confluence.atlassian.com/jira062/user-workload-report-588581604.html">User Workload Report</a> – illustrates the amount of work assigned to a given user and how long it should take.</li><li aria-level="1"><a href="https://confluence.atlassian.com/jira063/time-tracking-report-683542425.html">Time Tracking Report</a> – represents useful time tracking information on tickets for a specific version of the project.</li></ul></li></ul><p> </p><p>For instance, the JIRA time tracking report could be used for fortnightly sprints, to track against the original estimate, ETA, actual time spent, and the accuracy of the original estimate when compared against current estimate. The JIRA time tracking report will then feed into the next sprint, providing more realistic estimates and setting expectations early for the team.</p><p>Filtering is an important aspect of reporting helping to represent the right level of information. A common use case would be for a project manager to filter on outstanding work items related to a specific business workstream with a breakdown across its components. The JIRA reporting tool empowers users to either use simple search, which involves manually selecting values across various fields, or an advanced search which allows the user to use JQL (JIRA Query Language) to write complex statements to filter on the data that is required.</p><p><b>Also Read</b>: <a href="https://www.myneuro.ai/blog/value-stream-management-platform/">What is value stream management?</a></p><p><b>Test Management Reporting</b></p><p>As testers, test management for JIRA plugins are essential to be able to support large testing programmes. Test management for JIRA plugins, such as Zephyr, enable a test team to plan, prepare, script, and execute test cases and link these artefacts to the original requirements in JIRA. What we have found whilst using plugins like Zephyr is that they generate a requirement to produce another set of reports and dashboards for tracking test execution progress, adding additional overhead to the overall JIRA reporting tool.</p><p>Dragonfly have worked on countless projects using JIRA project management tools and multiple test management for JIRA plugins. We understand the importance of tracking key project metrics and to be able to present them effectively to senior stakeholders – so that a quick glance at the JIRA reporting dashboard will provide assurance that the project is on track.</p><p><b>Meet Neuro</b></p><p>The features and benefits, and shortcomings, outlined earlier for the JIRA reporting tool, was one of the key drivers for developing<a href="https://www.myneuro.ai/"> <i>neuro</i></a>, our engineering and quality management platform, and have extended <i>neuro</i>’s capability to <a href="https://www.myneuro.ai/integrations/">integrate with multiple systems including JIRA, Zephyr and Jenkins</a>. The result is rapid integrated reporting across the JIRA portfolio.</p><p>Using <a href="https://www.myneuro.ai/"><i>neuro</i></a> removes the need to configure a JIRA reporting dashboard and separately embedding test metrics from test management for JIRA plugins. <i>Neuro</i> also provides you with the flexibility to customise each component on the dashboard with its own filters and date range – whereas on most reporting dashboards there would only be an overall date range applied. In project management, stakeholders always ask for the overall project RAG status and neuro provides the ability to set a RAG status on the dashboard, as well as allowing them to annotate dashboard components to provide key points or blockers on why certain metrics are trending that way.</p><p>Discover how our engineering and quality management platform <a href="https://www.myneuro.ai/"><i>neuro</i></a> can drive efficiency, increase value, and accelerate your growth by talking to our team today.</p>						</div>
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		<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/uses-of-jira-project-management-reporting-tool/">JIRA Project Management &#038; Reporting Tool</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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		<title>Help your CEO take great data driven testing decisions.</title>
		<link>https://www.myneuro.ai/blog/help-your-data-driven-ceo-understand-engineering-and-quality/</link>
					<comments>https://www.myneuro.ai/blog/help-your-data-driven-ceo-understand-engineering-and-quality/#comments</comments>
		
		<dc:creator><![CDATA[Adam Smith]]></dc:creator>
		<pubDate>Thu, 25 Mar 2021 15:23:31 +0000</pubDate>
				<category><![CDATA[engineering and quality]]></category>
		<category><![CDATA[CXO]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[reporting]]></category>
		<category><![CDATA[value stream management]]></category>
		<guid isPermaLink="false">https://www.myneuro.ai/?p=3552</guid>

					<description><![CDATA[<p>In our experience, the majority of CEOs come from non-technical backgrounds. Whilst there is no doubt they know what their engineering teams do, when pushed on specifics most quickly admit the technical nature of the function is beyond their area of expertise. After all, surely this is what the CTO and engineering leadership team are… <a href="https://www.myneuro.ai/blog/help-your-data-driven-ceo-understand-engineering-and-quality/" class="" rel="bookmark">Read More »<span class="screen-reader-text">Help your CEO take great data driven testing decisions.</span></a></p>
<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/help-your-data-driven-ceo-understand-engineering-and-quality/">Help your CEO take great data driven testing decisions.</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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							<p>In our experience, the majority of CEOs come from non-technical backgrounds. Whilst there is no doubt they know what their engineering teams do, when pushed on specifics most quickly admit the technical nature of the function is beyond their area of expertise. After all, surely this is what the CTO and engineering leadership team are for? Well yes, but in today’s technology-driven business climate, having only a limited understanding of how an engineering and quality organisation works puts a CEO at a major disadvantage. Help your CEO take great data driven testing and engineering decisions. </p>
<p><b>The buck stops here</b></p>
<p>To state the obvious, the CEO’s job is hard! They must balance speed to market with funding, revenue and regulatory obligations. The usual constraints of cost, quality, and time apply and the provision of accurate and meaningful updates by business and technology leadership is essential. The CEO must draw conclusions from and make judgments on where they are against the original business case, assess if they are on plan and establish how to best deal with potential issues and roadblocks that will endanger key milestones and business goals.</p>
<p><b>The messages are often scrambled</b></p>
<p>CEO’s are generally short of time and have competing priorities meaning they don’t always understand the importance of key issues being brought to their attention or their potential impact. The inefficiencies and complexities of human behaviours, bias, ambiguity and intangible measurement means many messages are mis-translated, mis-reported or mis-understood for a number of complex reasons. These are in effect a melting pot of themes rather than individual factors, making it even harder to understand when management is not providing the value required to reduce the volatility of outcomes.</p>
<p><b>The value of trusted information</b></p>
<p>In contrast, effective decisions require true transparency, consistency, and measurable goals coupled with tangible insight. Speaking from personal experience, this kind of trusted information is invaluable as it removes inefficiencies and reduces the emotional energy involved in making judgment calls – especially true after all-day back-to-back Zoom meetings. Making poor decisions based on subjective information can have a high price as every CEO will tell you. Data driven testing and engineering is the future.</p>
<p>Trusted information therefore is what every CEO wants, rather than wondering how much credence to give to the data and information that is in front of them. For instance, in status reporting many CEOs ask: does green mean green?<b>. </b>When they dig deeper, they often find underlying issues and understandably lose trust in the numbers and narrative being reported from engineering and quality leadership. This is true now more than ever as we are seeing CEOs becoming increasingly data driven.</p>
<p><b>Three ways to help your CEO</b></p>
<p>So, when all is said and done, here are three things that you can do to help you CEO better understand engineering and quality and enable value to be demonstrated more easily?</p>
<ul>
<li aria-level="1"><b>Be data driven</b> <b>–</b> drive your commentary based on facts you can prove not opinions that you cannot</li>
<li aria-level="1"><b>Communicate in quick fire, as CEOs do –</b> deliver measurable statements, anticipate likely questions, and remove ambiguity to make information more easily consumable</li>
<li aria-level="1"><a href="https://medium.com/@iauro/move-faster-shorten-your-feedback-loops-eb00329f531"><b>Shorten the feedback loop</b></a><b> –</b> Answer questions quickly with facts to speed up the decision-making process</li>
</ul>
<p><b>Get the most from meetings with your CEO</b></p>
<p>We have built neuro to enable engineering and quality teams to deliver consistent and transparent reporting to CEOs. We do the heavy lifting, allowing you to be data-driven and answer questions in real time. We shorten the feedback loop and speed up decisions by condensing data points and insights into short meaningful units. Use neuro in conjunction with the three points above to get the most from meetings with your CEO. Empower your CEO to make the right call. If you have any questions, please <a href="https://www.myneuro.ai/#contact">get in touch</a>.</p>
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		<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/help-your-data-driven-ceo-understand-engineering-and-quality/">Help your CEO take great data driven testing decisions.</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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		<title>Three reasons why we built neuro</title>
		<link>https://www.myneuro.ai/blog/three-reasons-why-we-built-neuro/</link>
		
		<dc:creator><![CDATA[Adam Smith]]></dc:creator>
		<pubDate>Thu, 25 Feb 2021 23:34:00 +0000</pubDate>
				<category><![CDATA[engineering and quality]]></category>
		<category><![CDATA[CXO]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Product]]></category>
		<category><![CDATA[Quality]]></category>
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		<guid isPermaLink="false">https://neuro-staging.dofleinisoftware.com/?p=1103</guid>

					<description><![CDATA[<p>Through our work with many technology and business teams over the past decade we have seen significant change and a closing of the gap between business and technology. This has given rise to opportunity as well as new challenges for teams and executives.</p>
<p>The post <a rel="nofollow" href="https://www.myneuro.ai/blog/three-reasons-why-we-built-neuro/">Three reasons why we built neuro</a> appeared first on <a rel="nofollow" href="https://www.myneuro.ai">Neuro</a>.</p>
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							<p><span style="font-weight: var( --e-global-typography-text-font-weight );">Through our work with many technology and business teams over the past decade we have seen significant change and a closing of the gap between business and technology. This has given rise to opportunity as well as new challenges for teams and executives.</span></p>
<p>Technology is now at the forefront of business, but with business and technology speaking different languages both sides rarely unify successfully to become a single organism that moves in harmony towards a single purpose. On the contrary teams and executives from both sides often experience frustrations more akin to tectonic plates slowly crashing into each other and creating mountainous divides.</p>
<p><strong>Addressing the challenges</strong></p>
<p>Such challenges prevent technology and business teams from delivering transparency and the expected business value, and achieving agreed goals. We have seen this repeatedly and it led us to explore how we could use analytics, automation, and machine learning to answer three questions:</p>
<ol>
<li>Can modern technologies be combined to eradicate the administrative aspects of management, for example reporting tasks that rely on Excel and PowerPoint, to enable teams to work faster and more productively?</li>
<li>Can we turn the vast and disparate datasets that organisations have into insights which can be actioned to reduce waste and enable executives to make more informed decisions?</li>
<li>Can we align engineering and quality teams with business goals to improve performance and outcomes?</li>
</ol>
<p><strong><br></strong></p><p><strong>The neuro puzzle </strong></p>
<p>Turning a theoretical idea into a platform that delivered on the three questions above was in the first instance a puzzle. At the start of our journey; cloud, analytics, machine learning and automation were not applied in the way they are for today&#8217;s modern SMB and enterprise markets. Applying new technology to engineering management is now a growing area, with increasing organisational importance and investment, as companies look more closely at organisational resilience in the race to digitalise and transform their business models.</p>
<p>We frequently see teams struggling with Jira reporting, then add in Zephyr or X-Ray reports and you have a data challenge. What&#8217;s more, data is hidden from management in technical tools like Git. We wanted to make all of this information available for automated reporting.</p>
<p><strong>Realising results </strong></p>
<p>We have been very lucky in having amazing clients who have embraced change, which has enabled us to develop neuro in partnership with them and learn from their first-hand experiences. We benefited from being able to test drive our thinking, refine ideas and develop Neuro to deliver results. A big part of the journey has been helping teams gain greater understanding about what is possible, and helping them educate their CXO and business counterparts on the value of collaborating with platforms like neuro. In a post-pandemic world where every business advantage, cost efficiency and productivity gain is important, we are seeing companies, that embrace the digitisation of functions, win. To quote a CXO around the application and value of neuro: “this changes things” which when you look at it is the foundation of what we strive to achieve.</p>
<p><strong>The future</strong></p>
<p>Our team has worked extraordinarily hard to get us to this point. Launching Neuro in 2021 is a significant milestone and one that is very much down to their hard work, dedication, and vision. Now we look forward to starting a new journey in which we help more organisations leverage their data to turn insight into action and create high-performing engineering and quality teams.</p>						</div>
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