Website Testing: Insights Pro to test thelightbub.ai’s website

About Us

Thelightbulb.ai is a multimodal Emotion AI platform that has 4 patents with 8.4 million face frames scanned. At present, the company is supported by top Venture Capitalists (VCs) and collaborates with reputed brands in partnership with leading technology providers for full stack experience.

Moreover, the company utilizes state-of-the-art infrastructure in computer vision, emotion.ai, and machine learning technologies to gauge the attention and emotions of the study participants, when they consume content online.

Project Objective and Target Audience

We conducted UX testing of the Lightbulb website in the key markets of the US and Europe in the age group of 25-60 among the male and female population.

Here Were A Few Of Our Objectives

Traffic paths: Gain insight into the traffic patterns followed by the users as they navigate the path across the stimulus.

Most viewed sections: Recognize the most visited sections of the website, particularly the homepage.

High Relevance Call-to-Action (CTAs): Identify the most significant and clicked-on CTAs, coupled with the method of discovering them.

Process/Way of Approach

Emotional AI: We used Emotional AI (facial muscle tracking, conversational intelligence, and eye tracking) to predict consumer emotions, likes, and dislikes of consumers across the website, giving comprehensive deep insights into consumer behavior.

Heatmaps: Heatmaps helped us to give a crystal clear view of the data points and gave meaningful insight into which sections of the website customers invested the most amount of time, giving us an idea of the required changes to make.

Gaze Plotting: Gaze plotting helped us to understand the consumer’s point of focus and visual field at the time of carrying out a task. And displays the location, and time spent gazing at locations across the stimulus.

Areas of Interest: Generally, consumers navigate through a website based on needs, interests, and instincts. We carried out a deep dive into the website sections that consumers prefer the most.

Indicative Insights (Glimpse):

These were a few of the findings:

UX Insights and Traffic Paths:

Users found UX confusing. Rapid blinking and linear scrolling on purchase-related pages caused
low click-through rates.

Emotion Insights

The inability of the UX to enthuse or generate excitement among the users led to low positive emotions.

Conclusion

The UX testing gave us a clear picture of consumer behaviour and preferences. This study helped us to refine our website to create a fulfilling and engaging user experience, propelling user satisfaction and conversation rates.

To gather more insights and data from the UX testing of the Light Bulb website, kindly fill up the form below to download our PowerPoint Presentation (PPT).

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Case Study