Eggplant Blog

Delivering a Five-Star Digital Experience in Financial Services

9/6/18 / by Antony Edwards posted in user journeys, end-to-end testing, business outcomes, Customer Experience Insights, fusion engine, QA, financial services, User Experience, Performance testing, intelligent automation, artificial intelligence, Eggplant Release Insights, UX testing, UX monitoring, UI testing, APIs, predictive analytics

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No matter what industry you’re in, providing an exceptional digital experience to your customers is paramount. It’s particularly tricky in financial services, as more and more users ditch physical branch locations for online banking. By 2019 in the UK, mobile banking is expected to overtake desktop as the preferred channel. And for two-thirds of Americans, a recent survey found that online and mobile banking represent their primary banking channels. 

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Link Real User Journeys and AI-Assisted Techniques to Improve Quality

8/22/18 / by Michael Giacometti posted in AI-assisted testing, artificial intelligence, DevOps, QA, QA testing, testing best practices, user acceptance testing, User experience testing, User Experience, digital automation intelligence, Customer Experience Insights

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To keep up with DevOps, testing and QA teams typically adopt a shift-up approach to move quality further up the software development lifecycle. The goal is to complete system testing, integration testing, and user acceptance testing (UAT) to ensure a bug-free release. While product quality has a direct correlation to increased revenue and positive business outcomes, this isn’t enough in the 21st-century marketplace. QA’s job isn’t just to de-risk applications by finding defects earlier but to help de-risk business strategy and potential problems with your user base by reporting customer experience defects. 

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Six Ways Intelligent Automation Helps You Optimize Mission Outcomes

8/2/18 / by John Bates posted in intelligent testing, fusion engine, Eggplant Digital Automation Intelligence Suite, QA, testing strategy, testing best practices, UX testing, UX, User Experience, testing automation, analytics, artificial intelligence, UI testing, APIs, API testing, AI-assisted testing

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Testing is critical for organizations like NASA, the US Army, Northrop Grumman, BAE Systems, Lockheed Martin, MBDA, the UK’s Ministry of Defense and the Metropolitan and Scottish Police, where lives are on the line. As we've worked with customers like these over many years, we've noticed how much more testing is than just making sure the system works — it’s about ensuring we test for mission success and continuously optimize mission outcomes. Whether you're designing systems for command and control (C2); to provide support for complex police operations, such as hostage negotiations; or for shooting down an enemy missile, you should plan your testing and monitoring strategy to continuously test against the desired mission outcomes. 

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A Design Pattern for Automation Repeatability

6/20/18 / by Randy Hesse posted in QA, testing strategy, testing best practices, UX testing, User experience testing, software testing, Software test automation, workflow automation, automated testing project

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Some of my customers are trying to design an automated script to perform specific workflows with a predicted outcome. Unfortunately, the automated workflow they want to execute has many variations in their environment, and they’re having trouble creating a dynamic, automated script that handles environment deviation.

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Don’t Test the Code, Test the Business

5/24/18 / by John Bates posted in intelligent testing, Eggplant Digital Automation Intelligence Suite, QA, continuous delivery, continuous integration, intelligent monitoring, user journey, testing strategy, testing best practices, UX testing, UX, User experience testing, User Experience, Test automation, Digital Experience

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Quality assurance (QA) used to be a compliance activity. You were releasing a product and needed to test it and stamp it “approved.” QA was about testing that the code worked. You might manually test the code. You might have even tried some automation — coding a set of test scripts that would try to capture regressions or errors that you had eradicated in the past, but which somehow crept back in. All in all, you were reasonably satisfied that you achieved a level of test coverage that met your goals. Then, you put your code into production and crossed your fingers that nothing went wrong. And if it did, you tried to fix it as quickly as humanly possible.

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How Much Collaboration Is Too Much?

5/17/18 / by Jeannette Smith posted in QA, QA testing, software development, collaboration, developers, software testing, Software test automation, testing strategy, testing best practices, test teams

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Note: Test engineer Reena Kuni and software engineer Bekki Freeman also contributed to this blog.

On the Eggplant Functional team, the relationship between Dev and QA is very collaborative. We work closely together, use our Slack channel to organize regular walk breaks together, and frequently talk about ways to increase product quality.

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A Babel Fish for Testing

5/2/18 / by John Bates posted in intelligent testing, fusion engine, Digital Experience, Eggplant Digital Automation Intelligence Suite, QA, continuous delivery, continuous integration, user journey, APIs, IOT, User Experience, Test automation

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It used to be that software testers could test their applications on just one platform, and only have to worry about testing that the code worked.

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The Customer is Always Right ... and That Customer, and That Customer, Too.

4/25/18 / by Michael Giacometti posted in shift up, shift left, QA, User Experience, Eggplant Digital Automation Intelligence Suite, intelligent testing, test automation strategy, user journey, QA testing, shift right

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It’s no secret that the digital revolution is quickly changing the way businesses and customers interact with each other. Like Blockbuster, companies that don’t understand the evolving needs and tastes of their customers will die, while companies like Netflix that fail fast, quickly adopt technology, and evolve, will thrive.

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The Early Bird and Second Mouse — a QA Story

4/19/18 / by Russ Lott posted in QA, QA testing, User Experience, User experience testing, Performance testing, Functional testing, App testing

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This week, I'm making what many consider a life-altering, religious change. I’m switching from Android to an iPhone.

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The Need to Shift Up in QA

4/11/18 / by Michael Giacometti posted in Quality assurance, QA, Software test automation, Automation testing, shift left, shift right, shift up, COE, quality control, artificial intelligence, User Experience, digital automation intelligence, Digital Experience

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Sometimes I feel as if I’m the Forrest Gump of quality assurance (QA). Since 1998, I’ve been through the beginning of automated integration testing and service virtualization through being a co-founder of Class I.Q. (now IBM Greenhat). I’ve been through the first phases of an automated testing center of excellence (ACOE). I’ve been there for the start of risk-based testing, and I’ve been a part of the transformation of QA from a somewhat necessary function to something that is now the core and chief concern of any company putting out quality software and apps.

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