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“ 2.0”: Launch of new optimized UX

After only few months we already optimized our user experience and are switching to a totally new design and appearance

Time is money, information is key and best-in-class user experience is at the core of our corporate DNA. does not only stringently work on the optimization of data and results but also and in especial on the design and the appearance of our unique application. And this is only possible with the great and so valuable feedback from our users. Based on this highly appreciated user insights our UX team together with our developers realized a major next achievement in further finetuning and optimizing our solution. Read here what we did and many more interesting background infos., a trailblazer in the field of artificial intelligence, is thrilled to announce the official release of its revolutionary new application, poised to reshape the very landscape of AI technology. This monumental achievement comes as the result of years of dedication, innovation, and a relentless pursuit of excellence.

Complex things must be kept simple

User Experience (UX) design is a critical aspect of product development, and it comes with its fair share of challenges. Addressing these challenges is essential to create products that are user-friendly, engaging, and effective. Here are some common challenges in UX design:

  1. Understanding User Needs: Identifying and comprehending the diverse needs and expectations of users can be challenging, especially in products with a broad user base.

  2. User Research: Conducting effective user research to gather insights about user behaviors, preferences, and pain points can be time-consuming and resource-intensive.

  3. Balancing Simplicity and Complexity: Striking the right balance between simplicity and providing advanced features can be tough. Too much simplicity may limit functionality, while excessive complexity can overwhelm users.

  4. Responsive Design: Ensuring a consistent and user-friendly experience across various devices and screen sizes can be challenging, especially with the proliferation of mobile and wearable technology.

  5. Navigation and Information Architecture: Organizing content and designing intuitive navigation can be complex, especially in content-heavy websites or applications.

  6. Accessibility: Ensuring that products are accessible to individuals with disabilities can be a significant challenge, requiring adherence to accessibility standards and guidelines.

  7. Cross-Platform Compatibility: Designing for multiple platforms (e.g., iOS, Android, web) while maintaining a consistent UX can be a challenge due to platform-specific guidelines and limitations.

  8. Performance Optimization: Ensuring that the product loads quickly and operates smoothly, especially with data-heavy applications, is an ongoing challenge.

  9. Testing and Feedback: Gathering user feedback and conducting usability testing can be time-consuming but is crucial for refining the UX.

  10. Consistency: Maintaining design consistency throughout the product, especially in collaborative projects or with frequent updates, can be challenging.

  11. Staying Current: Keeping up with evolving design trends, technologies, and user expectations can be daunting.

  12. Dealing with Stakeholder Input: Balancing the input and demands of various stakeholders, including designers, developers, marketers, and executives, can be challenging.

  13. Budget and Resource Constraints: Limited budgets and resources can impact the scope and quality of UX design work.

  14. Cultural Considerations: Designing for global audiences requires an understanding of cultural nuances and preferences.

  15. Ethical Considerations: Ensuring that the product respects user privacy and ethical standards can be complex, particularly in data-driven applications.

  16. User Onboarding: Creating effective onboarding experiences to help users quickly grasp how to use the product can be challenging.

Addressing these challenges in UX design requires a multidisciplinary approach, ongoing user testing and feedback, collaboration between designers and developers, and a deep understanding of user behavior and psychology. Ultimately, the goal is to create products that offer a seamless and delightful user experience.

Bildschirmfoto 2023 08 02 um 08.56.52 1 | AI Suchmaschine

Bildschirmfoto 2023 08 02 um 08.09.52 | AI Suchmaschine

Thanks to our many users who continuously provide us so valuable feedback, we could fastly and effectively move towards an even higher user experience level. Especially a such complex topic of next level AI-based business intelligence must be designed user-friendly to enable anybody to quickly get acquainted with our application. .


DI Wolfgang Ecker-Lala

What means User Experience in Business Intelligence

In the context of Business Intelligence (BI), user experience (UX) refers to the overall quality of interactions and satisfaction that users, typically business professionals, have while using BI tools and platforms to access and analyze data for informed decision-making. It encompasses the design, functionality, accessibility, and usability of BI applications to ensure that users can efficiently and effectively extract valuable insights from data.

Here are key aspects of user experience in BI:

  1. User-Friendly Interface: BI tools should have an intuitive and user-friendly interface that allows business users to easily navigate through data, reports, and dashboards. This includes user-friendly menus, drag-and-drop functionalities, and clear data visualizations.

  2. Data Accessibility: Users should have quick and easy access to relevant data sources. BI platforms should enable seamless data integration from various databases, spreadsheets, and external sources, making data retrieval a smooth process.

  3. Responsive Design: As BI tools are often used on different devices and screen sizes, responsive design ensures that the user experience remains consistent and optimal across desktops, tablets, and mobile devices.

  4. Performance: BI applications should deliver fast query performance and rapid data retrieval to prevent user frustration due to slow loading times. Efficient data processing is essential for a positive user experience.

  5. Customization: Users should be able to tailor their BI dashboards and reports to their specific needs. Customization options, such as creating personalized reports and setting data filters, enhance the user experience.

  6. Data Visualization: Effective data visualization is crucial in BI. Users should be able to create and view charts, graphs, and interactive visualizations that make complex data more understandable.

  7. Interactivity: Interactive features like drill-down capabilities, tooltips, and filters enable users to explore data and gain deeper insights, contributing to a better user experience.

  8. Collaboration: Collaboration features such as annotations, comments, and data sharing promote collaboration among team members using the same BI platform, enhancing the overall user experience.

  9. Security and Data Governance: Ensuring data security and compliance with regulatory requirements is vital in BI. A robust security framework that doesn’t hinder usability is essential for a positive user experience.

  10. Training and Support: Offering training resources and support for users is crucial. Providing tutorials, documentation, and responsive customer support helps users make the most of the BI tool.

  11. Scalability: As business needs grow, the BI platform should be scalable to accommodate increased data volumes and user demands without sacrificing performance or usability.

  12. Feedback Mechanisms: BI platforms should have mechanisms for users to provide feedback, report issues, and request enhancements. This user input can guide continuous improvement efforts.

In summary, in the context of Business Intelligence, user experience encompasses the design, functionality, and usability of BI tools and platforms to empower business professionals to efficiently analyze data and make informed decisions. A positive user experience in BI is essential for maximizing the value of data-driven insights within an organization.

Bildschirmfoto 2023 09 06 um 12.16.18 | AI Suchmaschine

Fig.: New main UX-optimized menu bar of

Taking AI-based Business Intelligence to a totally new level

The new 2.0 UX-optimized design brings a multitude of benefits for its users, enhancing their overall experience and productivity. Here are some key advantages:

  1. Intuitive Navigation: The improved user interface offers intuitive navigation, making it easier for users to find and access the features and information they need. This reduces frustration and streamlines the user experience.

  2. Efficient Information Retrieval: Users can quickly access and retrieve information from the application. The improved search functionality and organized data structures save users valuable time when looking for insights.

  3. Enhanced Data Visualization: 2.0 offers more powerful data visualization tools, enabling users to create and view charts, graphs, and interactive visualizations that simplify complex data and facilitate better decision-making.

  4. Customization Options: Users can personalize their dashboards and reports, tailoring the application to their specific needs. Customization empowers users to focus on the data that matters most to them.

  5. Responsive Design: The application’s responsive design ensures a seamless experience across various devices and screen sizes, including desktops, tablets, and mobile phones, providing flexibility in how users access their data.

  6. Improved Performance: 2.0 is optimized for speed and efficiency. Users can expect faster loading times and smooth performance, even when dealing with large datasets.

  7. Accessibility: 2.0 adheres to accessibility standards, ensuring that the application is usable by individuals with disabilities. This inclusivity broadens the user base and promotes diversity.

  8. Reduced Learning Curve: The improved user interface and clear design reduce the learning curve for new users. Users can become proficient with the application more quickly, boosting their productivity.

  9. Data Security: 2.0 maintains a strong focus on data security, safeguarding sensitive information and ensuring that users can trust the platform to protect their data.

  10. Scalability: The application is designed to scale with an organization’s growing needs, accommodating larger data volumes and user bases without compromising performance or usability.

  11. Proactive Support: Users can expect responsive customer support and access to comprehensive documentation and tutorials, ensuring they can make the most of the application’s features.

  12. Feedback Integration: actively encourages user feedback and incorporates valuable suggestions into ongoing updates, ensuring that the platform continually evolves to meet user needs.

  13. Global Accessibility: 2.0 extends its reach to users around the world, ensuring that individuals in various regions and time zones can access and utilize the application seamlessly.

In essence, 2.0’s UX-optimized design elevates the user experience by simplifying complex data, enhancing performance, and promoting collaboration and customization. These benefits empower users to make more informed decisions and maximize the value of their data analysis efforts.

Join our journey and test for free!

Success is the result of many small steps. And this is one of our core values – continuous improvement. In this context we will not stop asking, collecting and evaluating feedback from our user for further optimizing the UX of the thinkers-ai application.

Check it out and register now for free to test our new design for a trial periode of 7 days with unlimited access to all topics and up- and running-use cases.

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