KERNWERT UX – Research with integrated AI-support

All good UX starts with user research – We provide you with the tools you need.

Excellent UX Design requires an in-depth understanding of user needs. Our software simplifies the collection and analysis of thoughts and feelings using a variety of methods. This way you gain valuable insights for outstanding user experiences.

Tailored to your needs

Our platform allows you to use various research methods with ease. From diaries and interviews to surveys and card sorting, we've got you covered! By skillfully combining different methods, our platform lets you see the bigger picture. Uncover patterns, connections and user preferences that single-method approaches might overlook.

Collaboration made easy

Teamwork is essential for successful UX projects, which is why we enable project partners and stakeholders to access results in real time. Interviews and chat discussions can be observed live while results of questionnaires are automatically analyzed. Use the integrated meeting room to coordinate with everyone involved in your project.

Secure Environment

Protecting your data is our top priority. Our software has been developed with a focus on data protection, for GDPR-compliant UX research. We establish a secure environment for your data, allowing you to concentrate fully on your research

AI-assistant for your analysis

Take your analysis to the next level using our integrated AI assistant. Discover hidden patterns, draw significant conclusions, and extract actionable suggestions for optimized user experiences. Our AI supports you by automating time consuming tasks like summaries or identifying citations.

USECASES

Case studies

Use Case: Optimization of a Health and Wellness App
Background: A startup is developing an app for health and wellness to assist users with fitness goals and a healthy lifestyle. The goal is to ensure that the app is user-friendly and provides effective solutions for users' needs.

Methods: Diary entries to better understand user needs, expectations, and pain points. A/B testing to compare different app versions and determine which features and designs yield the best results.

Results: Combining these methods yields insights into user experience and app features. The startup utilizes these insights to enhance the app user experience and offer effective solutions for fitness goals.
Use Case: Capturing a Shopping Diary for the Online Ordering Process
Background: An e-commerce company aims to enhance the online ordering process on its website to improve the user shopping experience.

Method: Users are requested to maintain a shopping diary while placing orders. They document steps, interactions, and thoughts during the ordering process, provide feedback, and generate improvement suggestions.

Results: The shopping diary provides the company with valuable insights into the actual user experience. This data enables targeted optimizations for a seamless shopping experience.
Use Case: Enhancing a Fully Automatic Coffee Machine
Background: A company provides fully automatic coffee machines for the catering industry. The goal is to ensure that the operation and programming are intuitive and user-friendly.

Methods: Feedback questionnaire to identify pain points and preferences. Remote user tests to evaluate the machines' user-friendliness and identify potential enhancements.

Results: The company gains fresh insights into the user experience and can optimize the programming interface accordingly. This increases user-friendliness, leading to enhanced user satisfaction.