Project
Marvin is Adphorus' AI-powered marketing assistant, powering the optimization of user's campaigns and providing guidance on testing and applying their learnings.
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Marvin Insights is a highly customized campaign dashboard and daily digest for analysis and optimization. Marvin analyzes and visualizes the performance of all active campaigns, providing insights on trends and areas of improvement, so that users are constantly maximizing the impact of their Facebook spend.
My Role
My responsibility was to create a highly intuitive & customizable dashboard to provide users valuable insights at a glance. Forming the experience strategy, deriving & analyzing quantitative data by working closely with Data Scientist & Product Analyst, executing user research, producing all UX & UI deliverables, and leading the whole phase was my responsibility in the project. I worked alongside a Product Manager, Data Scientists, Product Marketing Manager, Product Analyst, Web Developers.
User Research
User Interviews
Quantitative Data Collection
Competitive Research
User interview sessions with our major clients and watching FullStory recordings led me to understand the common metrics they need to see on a daily basis and they are transforming that data into meaningful insights.
The most important phase was quantitative data research. We had many sessions with our Data Science team and Product Analysts to reveal the most meaningful metrics to be shown on a dashboard. Hundreds of campaigns are examined to define metrics for different user groups. Also, many sessions were done to transform the data into powerful and actionable insights.
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I was inspired by hundreds of dashboards of different products, many Analytics tool,s and best practices and presented them to the team for brainstorming.
After all the sessions with the Data Science team, I clarified prepared an inventory of modules we wanted to show in the dashboard. I researched quite a lot about visualizing the data, how to give insights visually and how to connect different data modules. I categorized all possible metric modules to proceed to wireframing phase.
Wireframes
Combining all of the insights from the research phase, high-fidelity wireframes were created in detail, discussed with the team, and revised for the UI phase.
UI Design
After wireframe review sessions with Data Science, Product, Tech & CS teams, I finalized wireframes, defined major interactions, and started the UI design process. Getting inspired from the mood boards I created for the look & feel screen designs and interactions were completed.
