Google AI Nerve Center
Designing a chatbot to help marketers gain insights from their data
Chatbot Development • Figma • Data Visualization • Desktop
A Google-branded chatbot prototype was developed to help marketers gain insights from their data collection, allowing them to present the concept to stakeholders for approval. The scope included creating an intuitive, functional prototype based on initial wireframes, with a focus on user-centered design tailored to the specific needs of Google's internal marketers.
Disciplines:
UX/UI, Data Filtering, Information architecture, Interaction design, Visual design
Platforms:
Desktop
My Role:
Lead Designer
Team:
Associate Research, Insights, & Analytics Manager, Google
Marketing Analytics Manager, Google
Chief Client Director, Ipsos
Google’s marketing team needed a way to extract actionable insights from their data more efficiently.
A Google-branded chatbot prototype was developed to help marketers easily extract insights from their data. The process involved researching existing chatbot solutions, refining initial wireframes into detailed sketches, and prioritizing features based on impact and feasibility. This interface aimed to create an intuitive and functional tool, enabling the marketing team to showcase the chatbot’s potential and gain stakeholder approval.
Impact
2+
executive approvals
Members of Google's marketing team aimed to use the prototype to support their pitch for an AI chatbot for internal marketers. This high-priority project was identified as a multi-million dollar opportunity, showcasing significant potential to revolutionize the way Google marketers utilize data-driven insights.
Market research
Conducted research on existing chatbot solutions from companies like OpenAI, Gemini, and Claude
Identified strengths and weaknesses in current market offerings to inform the design of a superior, Google-branded product
Concept development
Developed detailed sketches to visualize the chatbot’s flow and user interface, building on the initial wireframe provided by the Associate Research, Insights, and Analytics Manager
Prioritized features based on their potential impact and feasibility within the project timeline
Ensured the design adhered to Google's branding guidelines and addressed the specific needs outlined in the wireframe
Design process
We conducted an internal design sprint to identify and map the most critical user flow for our chatbot, building on the initial wireframe provided by the Associate Research, Insights, and Analytics Manager. This process highlighted high-value features and the core functionalities of the chatbot.
User flow
