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Affect Lab

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What is Maze?

Save countless hours by effortlessly comparing user research recordings with test results that are translated into meaningful metrics. You can quickly design a maze tailored to the specific needs of each project, including features like surveys and usability tests, and then easily share it via a simple URL. Real-time test results allow you to convert data into quantitative insights, such as heatmaps and instances of mis-clicks. The auto-generated Maze Report enables you to share your findings with stakeholders, fostering productive discussions. Maze is an effective tool for validating ideas, concepts, and testing wireframes, as well as gathering user insights through satisfaction surveys and feedback. Its browser-based and device-agnostic nature makes it user-friendly, while seamless integration with popular design platforms like Figma, InVision, and AdobeXD accelerates your testing processes. With Maze, you can enhance the quality of your user research and improve decision-making in your projects significantly.

What is Affect Lab?

A consumer insights platform centered on technology, designed specifically for Insights teams, facilitates the mapping of insights across a range of media, digital platforms, and shopper engagements, which in turn helps in crafting emotionally impactful customer experiences while refining the customer journey to increase conversions and collect data related to emotions, attention, engagement, and visibility. Additionally, it acts as a resource for usability testing and analytics for UX teams, allowing them to measure user focus, interaction, and emotional responses as users navigate their experiences, while also enabling the evaluation of prototypes, mockups, websites, applications, and chatbots to identify vital UI elements that capture consumer interest, ultimately resulting in user experiences that are emotionally refined and boost conversion rates. Moreover, the platform harnesses Emotion Insights to develop enhanced customer experiences, employing Facial Coding APIs to evaluate emotional reactions at scale, including single and multi-face emotion recognition in everyday environments, along with recorded video emotion assessments. It also supports the testing of various stimuli across multiple formats and channels, such as videos, print ads, planograms, packaging designs, websites, mobile apps, and chatbots, ensuring an exhaustive analysis of emotional feedback. By employing this comprehensive method, brands can effectively establish a profound emotional connection with their audience, which is essential for nurturing loyalty and sustaining long-term engagement. This innovative approach not only captures vital consumer behavior insights but also drives strategic improvements in marketing and product development.