Eggplant Blog

How Smart Testing Can Ensure a Smooth Shopping Experience

9/24/18 / by Nick Casalbore posted in POS testing, point of sale, omnichannel testing, UX testing, automated testing, artificial intelligence, machine learning, intelligent automation, Digital Experience

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Click. That’s the sound of a customer seeking out your competitor because your point-of-sale (POS) system didn’t deliver the experience they wanted or expected. You know that your QA teams tested the code and it worked. So, what happened? 

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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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Transforming Customer Experiences With Eggplant

8/14/18 / by Michael Giacometti posted in user journey, User Experience, User experience testing, business outcomes, business KPIs, Customer Experience Insights, Real Customer Insights, Eggplant Digital Automation Intelligence Suite, shift up, Selenium, artificial intelligence, Performance testing, customer experience optimization

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Customer experience transformation is a key initiative for any business that wants to position itself for the 21st century. Two important concepts involve updating and digitizing technology, and creating persistent customer relationships. According to Bain & Company, customer experience transformation starts with “… simplifying your core business and digitizing it where it matters.” McKinsey & Company writes that in any customer experience transformation, “… the voice of the customer can be used to identify upstream and cross-functional issues and address the root causes of problems.” In short, to see positive results, you need well-tested, high-quality digital assets that reflect ever-evolving customer needs and desires.

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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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Introducing Eggplant AI 2.1 and New Accelerators

7/12/18 / by Gareth Smith posted in Eggplant AI, artificial intelligence, real user insights, model-based testing, real user monitoring, intelligent testing, continuous delivery, continuous integration

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Shift Up: Out of One Tool, Many

5/31/18 / by Michael Giacometti posted in User Experience, User experience testing, voice recognition software, test management, DevOps, Eggplant AI, artificial intelligence, shift up, shift right, shift left

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This is Michael's third blog in his Shift Up series. You can read the first blog here and second blog here.

On May 21, 2018, Bank of America announced that it was rolling out its chatbot, Erica, to all its mobile customers. On the surface, the premise makes sense. It’s making the bank more relatable. It’s providing real-time customer support to people where artificial intelligence (AI) assistants like Siri and Alexa are becoming the norm. It doesn’t have the limitations that some phone-based IVRs have, and it aims to provide immediate assistance instead of making us wait for a human (we’ve all shouted “representative” or pressed zero dozens of times to get a real person). Erica is a great way for Bank of America to optimize the customer experience.

But let’s pull back the covers and ask some basic questions. How does Erica know the customer so well?  How does Erica pull from different sources of information? How does Erica know what products and services to offer? What systems, both homegrown and third party, does Erica need to be effective? 

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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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The Journey to True Test Automation is Shorter Than You Think

3/13/18 / by JB Brockman posted in test automation strategy, continuous delivery, analytics, user journey, artificial intelligence, User experience testing, test execution, Software testing tools, Real User Experience, Digital Experience, DevOps

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Everything about software has changed—how it’s architected, developed and produced, what it does, what users want from it, and how often they expect new features. To keep up, organisations are turning to continuous delivery and DevOps. Yet product teams still do a lot of manual testing, which consumes a lot of time they don’t have, thanks to shrinking test windows. Incorporating automation into your testing approach is a great strategy, but figuring out where and how to start isn’t necessarily quick and easy.

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Better Bug Hunting for Improved Team Productivity: Announcing Eggplant AI 2.0

2/13/18 / by JB Brockman posted in artificial intelligence, digital automation intelligence, Digital Experience, test automation strategy, continuous delivery, analytics, user journey, testing strategy, User Experience, Test automation, Software test automation

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We recently co-hosted a webinar with Bloor Research about the Future of Testing, and in it, we conducted an informal poll about artificial intelligence (AI) and testing. When we asked what everyone thought the biggest advantage was to incorporating AI into a test automation strategy, attendees overwhelmingly selected team productivity and efficiency.

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