Learn, Generate, & Improve Code With Genislab AI

Usability testing and audit

Usability testing and audit

There is room for improvement in any digital experience
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Our testing scope

In the process of usability testing, the Genislab team performs a 360-degree assessment of an application’s user interface design and logic to pinpoint all the weak spots and bottlenecks.

Information architecture

To evaluate how clear and intuitive the solution’s information architecture is, we focus on such attributes as:
  • Navigation structure
  • Visual hierarchy
  • Labels and category names
  • Search, and more

User journey

Our testing specialists accurately assess the results of test groups’ engagement with target applications to detect:
  • Faulty workflow logic
  • Excessiveness and insufficiencies in user journeys
  • Unintuitive, confusing aspects, and more

Graphical interface

We check for faults in the interface that may hinder efficient goal achievement by users. Our team looks into:
  • Menu bars
  • Progress bars
  • Buttons
  • Navigational elements
  • Input fields
  • Notifications, and more
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Contact our team
Turn to our testing company to safeguard against usability flaws that may put off your users.
 

The strategy built around your software

We tailor our testing practices to each solution, making sure to properly address every challenging aspect related to the interface and user experience of the given software type.

Desktop applications

Genislab assesses the client side of your software for ease of use and efficiency, focusing our efforts on detecting inconsistencies in menu and control panels organization, redundant or misplaced GUI elements, overly complicated user flows, and more integral aspects.

Web apps and websites

We deliver end-to-end web app and website usability testing services, emphasizing such essential aspects as user onboarding flows, menu and catalog structure, presentation of media elements, search convenience, position of buttons and calls to action, and more.

Mobile applications

When testing your mobile app for usability, the Genislab team examines it on the most popular devices and seek out unnecessary navigation, unresponsive gestures, cumbersome notifications, and other user experience interruptions.
 

The value of refined user experience

Delivering actionable insights into subpar UX/UI design aspects, we help you succeed in user experience excellence and enable you to:
Meet usability requirements
Mitigate user adoption risks
Increase user conversion rate
Foster customer satisfaction
Enhance the product capacity
Cut maintenance costs
Optimize time and effort to be spent on redesign
Improved search visibility
 
Contact our team
Learn how Genislab’s usability testing services can make a difference for your users’ satisfaction with the software.
 

Why Genislab?

An extensive equipment fleet

To cover all possible test cases, Genislab has an assortment of over 300 mobile devices at our disposal and can easily arrange for the needed number of virtual machines.

Industry-class practices

Our experts follow the global standards and policies, such as ISO 9241-11 among others, and commit to the recognized usability principles by renowned experts in the field.

Multi-domain expertise

With solid 20-year experience in multiple industries, we come equipped with the awareness of target audiences’ business needs and expectations regarding each particular type of application.

How do we utilize AI to increase the quality of the solution? We distinguish between three
potential applications, namely translation, search and sequence anticipation and analysis
and elaborate on each of them below. Some of the examples we provide implement more
than one of the possible applications of AI to achieve their goal.

Translation means that one artifact is converted by the AI to another artifact.
 
API specifications, namely swagger documentation of the APIs, are translated into executing
code that tests the APIs. This can serve to ease the task of creating ATDD acceptance tests
once the interfaces of the APIs are defined.
 
 
Another translation could cluster an existing
set of regression tests in order to minimize them
 
yet another translates requirements to
their associated risk.
 
We envision that many more translations are possible, especially with the introduction of large language models new use cases will be explored. For example,

it is possible with state of the art large language models to translate description of a low
level programming task to useful code snippets

Using AI to search is a classical application of AI to testing.

For example genetic algorithms are used to test the solution for security vulnerabilities, e.g., AI search has also been applied to non-functional chaos directed test generation  and to functional
testing of APIs .

Many time the search is guided by an implicit or explicit coverage model that serves to guide the search. For example, in the case of security vulnerabilities models of code coverage are applied.

Generate test cases automatically based on the natural language input, ensuring comprehensive test coverage

  • Product guide generation
  • Deployment Auditing and Evaluation of Models
  • Audio Transcription
  • Labeling Data Translation Models
  • Pre-Training
  • Semantic Search
  • Increasing Inference Speed
  • Image Reducing Latency of Models

The last application of AI occurs through sequences and analysis.

Anomaly detection has been applied solution logs in order to analyze and debug the system. Even more exciting large language models with generative capabilities are attempting to anticipate the next program statement a programmer enters with some success.

Anomaly detection has nuances and a range of approaches that apply. For example, a black Friday activity on the system represents a change in the way the system is used but is not a stable ongoing change but a single abrupt occurrence. Techniques have been developed to identify change that is stable over time and requires a change in the solution. They are name drift analysis,