Purpose

The purpose of this document is to outline the testing approach, types of testing, tools, and key considerations for end user experience testing.

Target Audience

QE Chapter Leader, Release Quality Manager, QE Architect, QE Specialist (Functional SME), and Accessibility Test Engineer (ATE).

Definition

End-user experience testing evaluates how users interact with digital products like mobile applications, websites, and other products. It aims to measure user satisfaction, ease of use, performance of the applications on different devices and identify areas for improvement, making the product more user-friendly, accessible, and efficient.

Objectives

The key objectives of conducting end-user experience testing are:

Ensure a seamless application and product experience across all devices and platforms.
Understand the target audience's needs and expectations.
Make informed decisions about product design.
Expanding channels to aggregate & analyze end-user feedback.
Increase product adoption and user advocacy.
Build long-term digital loyalty among consumers.

Quick Links

System Regression ART Regression System Testing

Testing Approach

Key Considerations

The key foundational elements in a product or application that has a bearing on the end user experience are the following:

ensuring the product can work seamlessly with various browsers and operating systems.

making sure that the product is intuitive and easy to use.

relates to the speed and responsiveness of the product.

which encompasses the range of features and capabilities of the product.

protecting user data and preventing unauthorized access.

includes the quality and relevance of the information provided in the product.

product can be used across different devices and platforms.

how the product can be used by people with disabilities or other limitations.

When conducting end-user experience tests, it is important to consider foundational elements and human elements like emotions, demographics, and culture, as well as tangible elements like access and ease of use. These factors should be evaluated across various channels, including web and mobile applications, social media, connected devices, and Point of Sale (POS) systems.

Types of Testing

Following are the tests and insight methods that are applicable for end user experience testing. Based on business need, QE teams will employ one or more of these type during the product lifecycle for end user experience testing.

Types of Testing - Detailed View

Refer to the links enclosed below to understand more about the following testing types.

Testing Type	Reference Link	Tools
Usability Testing	Usability Testing	-
A/B Testing	A/B testing	-
Compatibility Testing	Compatibility Testing	Browser Stack, Sauce Labs (for validating web application compatibility) Android Emulator, iOS Simulator (for mobile application compatibility)
Accessibility Testing	Accessibility Testing	Accessibility Testing \| Tools
Performance Testing	Performance Testing	BlazeMeter
User Acceptance Testing	Acceptance Testing	-
Security Testing	Security Testing	Veracode

Besides the testing mentioned in the above table, the QE team will also perform the following types of testing and analysis as part of the end user experience testing.

Link validation entails the use of link checkers to scrutinize web pages and identify any broken hyperlinks.
Broken links can be a major inconvenience for users, leading to invalid pages and disrupting the overall user experience.
By conducting this testing process, the QE team and developers can identify and fix any broken links before the web application goes live, improving the website's overall quality and enhancing the user experience.
Tools: Sitechecker, Semrush

Exploratory testing is a method of uncovering defects in the user experience of an application.
It involves an unscripted and spontaneous approach to examining the application without relying on predetermined test cases.
This type of testing is particularly useful for uncovering any flaws in the application's design, user interface, or user experience, such as misaligned visual elements and unclear text that may negatively impact its overall functionality and performance.

This type of analysis involving using tools like Appbot to scan app stores, social media sites, and other platforms for feedback from users about the products or applications.
QE and the project team can analyze and organize the comments into categories such as Functionality, Usability, Performance, Business/Service, and New Requirements.
QE team can then add relevant test cases to the test suite based on the top issues in each category, including Functionality, Usability, Accessibility, and Performance of the applications.
This method provides multi-channel assurance by addressing concerns from users who experience issues with specific devices or device-OS-browser combinations.
Tools: Appbot, AppFollow

Entails gathering and analyzing both quantitative and qualitative data from users to gain insight into their behavior and interactions with web and mobile apps.
This information helps the project team and the QE team identify the frequently accessed areas of the application or product through user clicks, mouse movements, navigation, and scrolling.
Using this information, the QE team will be able to design the regression test suite to ensure comprehensive test coverage for these critical application areas during testing.
Tools: Hotjar, Mouseflow

Recommended Approach for Performing End User Experience Testing

Recommended Approach	Applicable for Testing Types	Description
Crowd Testing	Usability Compatibility Accessibility Exploratory	Crowd testing is a process where applications are tested by a diverse group of individuals from various locations, ages, and skill sets, using different devices and browsers. Here are the steps to follow when conducting crowd testing: Start by initiating a crowd-testing request. Determine the duration and volume of the campaign. Validate the crowd nominations for the campaign. Securely distribute the campaign to registered crowd members. A trained moderator will oversee the observations made by the crowd. Generate reports covering detailed observations and logs.
Tools/Analytics	Link Validation Sentiment Analysis Behavior Analytics A/B Testing	Link Validation Use tools like Sitechecker, Semrush etc., to scan through the web application. The tool will generate reports listing the broken links and the internal pages they appear on. Developers should update the broken links with the correct ones. Sentiment Analysis Use tools like Appbot, AppFollow, etc., to crawl application stores, social media sites, etc., to gather customer insights. Categorize insights into Functionality, Usability, Performance, Business/Service, and New Requirements. Add relevant test cases based on top issues in each category. Behavior Analytics Use tools like Hotjar, Mouseflow, etc. to track user clicks, mouse movements, navigation, and scrolling. Identify the frequently accessed areas of the application or product using the tool reports. Design/Update the regression test suite to ensure comprehensive test coverage for these critical application areas during testing. A/B Testing Refer to the below link for more details A/B testing
QE Testing	Performance Testing Security Testing UAT	Refer to the below links for more details Performance Testing Security Testing Acceptance Testing

Recommended Approach

Applicable for Testing Types

Description

Crowd Testing

Usability
Compatibility
Accessibility
Exploratory

Crowd testing is a process where applications are tested by a diverse group of individuals from various locations, ages, and skill sets, using different devices and browsers. Here are the steps to follow when conducting crowd testing:

Start by initiating a crowd-testing request.
Determine the duration and volume of the campaign.
Validate the crowd nominations for the campaign.
Securely distribute the campaign to registered crowd members.
A trained moderator will oversee the observations made by the crowd.
Generate reports covering detailed observations and logs.

Tools/Analytics

Link Validation
Sentiment Analysis
Behavior Analytics
A/B Testing

Link Validation

Use tools like Sitechecker, Semrush etc., to scan through the web application.
The tool will generate reports listing the broken links and the internal pages they appear on.
Developers should update the broken links with the correct ones.

Sentiment Analysis

Use tools like Appbot, AppFollow, etc., to crawl application stores, social media sites, etc., to gather customer insights.
Categorize insights into Functionality, Usability, Performance, Business/Service, and New Requirements.
Add relevant test cases based on top issues in each category.

Behavior Analytics

Use tools like Hotjar, Mouseflow, etc. to track user clicks, mouse movements, navigation, and scrolling.
Identify the frequently accessed areas of the application or product using the tool reports.
Design/Update the regression test suite to ensure comprehensive test coverage for these critical application areas during testing.

A/B Testing

Refer to the below link for more details

A/B testing

QE Testing