Marrkett AI

Gabriel Enemor

UX Researcher
Product Designer
UI Designer
Figma
Google Drive
As the Lead Product Designer at Marrkett AI, I played a pivotal role in shaping our AI marketing product from its inception. In the early stages, I took charge of crafting the demo UI that showcased the product's potential. This UI was a key element in our investor pitch, impressing stakeholders with its innovative design and user-friendly interface.

User Research

Before we began the design process, we had first had to carry out basic research to help us in understanding the intricacies of AI marketing and the user requirements. I conducted extensive user research to grasp the challenges marketers face and to identify how Marrkett AI could provide innovative solutions.
In tandem with user research, I conducted a comprehensive market analysis to gauge the competitive landscape and identify unique selling propositions. This analysis informed the design decisions, ensuring Marrkett AI stood out in a crowded market.
Identifying the challenges marketers faced in leveraging AI for their campaigns was crucial. This phase shaped the design direction, ensuring Marrkett AI addressed real-world problems and provided tangible solutions.

Design Process

Brainstorming and Ideation

Collaborating with cross-functional teams, we engaged in brainstorming sessions to ideate on the product's features and functionalities. We drew sketches and wireframes were conceptualized to visualize the initial structure.

Demo UI Creation:

The demo UI was a focal point of my contribution. With the help of my team mates I was able to translate complex AI concepts into a visually appealing and intuitive user interface. This involved creating a seamless flow that showcased the capabilities of Marrkett AI in a compelling manner.

Usability Testing

To validate the design decisions, usability testing was conducted at various stages. Feedback from these sessions from various marketers across the world played a crucial role in refining the UI, ensuring it met the expectations of potential users and stakeholders.

Final Design

The final design presented Marrkett AI as an innovative and user-friendly AI marketing solution that felt like a trusted companion and Marketing Assistant for marketers. Using high-quality visuals and uncomplicated UI, we were able to emphasize the product's potential and set the stage for its future development.

Outcome and Reflection

Results

The impact of the compelling presentation featuring the demo UI was significant. Marrkett AI secured a coveted spot in a startup acceleration program with a substantial $60K funding infusion on the line. This marked a pivotal moment in Marrkett AI's journey, validating the potential of the product.

Personal Reflection and Challenges

Navigating the challenges posed by the MarrkettAI project, a noteworthy issue surfaced concerning the user interaction with the AI chatbot. The dilemma centered around transforming the chatbot from a rigid, robotic entity into a friendly and approachable marketing assistant.
The goal was to mitigate the perception of conversing with a traditional AI and instead cultivate an experience akin to interacting with a human. Introducing thinking animations during response wait times was a strategic measure employed to humanize the interaction. However, this journey involved exploring alternative solutions such as incorporating conversational language nuances, injecting humor, and refining contextual understanding.
The realization that making an AI chatbot feel less automated is an ongoing process has been a crucial learning point, emphasizing the dynamic nature of user expectations and the need for continual adaptation in the realm of design and user experience. This experience illuminated the iterative nature of design solutions and the perpetual quest for striking the right balance between technological efficiency and human-like engagement.
In conclusion, I take pride in being a part of Marrkett AI's journey, contributing to its success by creating a design that resonated with investors and set the foundation for the product's future.
Marrkett AI is no where near done yet, it's just the beginning.
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