Adverity is the data and analytics SaaS platform with a focus on Marketing and eCommerce. Vienna, Austria.
Industry: Software Development
By analyzing hundreds of data sources and destinations, the Augmented Analytics module, using an AI engine, identifies hidden trends and opportunities to improve the ROI of campaigns.
Along with a POD consisting of Product Managers, Developers, Engineers, Data Scientists, UX designers, and Researchers, we constantly developed the Module towards functional enhancement and improving usability according to Design Thinking principles.
The platform is a complex environment with a big range of technical constraints for design solutions. Our mission is to provide each user with intuitive tools to get the most out of proactive analytics, adapted to their personal needs.
Results and takeaways
- I came up with a redesign of onboarding / setup flow for new users
- I revamped the representation of error rates for the ROI recommendations
- I was involved in building a pipeline to link data between the other modules of the platform
- I contributed to UI consistency across the platform
UX & Service Designer
04/2022 — 08/2022
Yulia worked as UX & Service Designer at Adverity. During that time, she worked on several projects in our AI-powered predictive analytics product «Reveal». She did an excellent job in improving key ux aspects of the product, such as the on-boarding / setup flow for new users. She also contributed in the overall UI consistency of the product. She demonstrated fast learning attitude in a complex and technical environment, strong proactivity towards improving the user experience of Reveal, high responsiveness to indications of the team lead. She is confident with producing diverse types of design deliverables, always with high quality and meeting expectations of the stakeholders. She demonstrated also developed soft skills and attitude for team work. She is definitely an excellent professional under all aspects, and it was a pleasure to work with her.Jacopo Cargnel, VP User Experience
Empathize and Define
To help me understand how platform users navigate and what are their needs, goals, and friction points, I used the quantitative and qualitative data from interviews and survey results provided by our UX researchers. That helped to better empathize with our main user personas and prioritize goals according to their needs. Also, I learned about users feedbacks collected by account managers and product managers.
The next step is brainstorming with a team to gather and analyze information, and define a problem statement.
Coming up with potential solutions, adhering to the following principles:
- Introduce onboarding wizard where necessary
- Reducing the number of steps to minimize time to completion
- Reducing the number of CTA on each step, to provide users with clear guidance
- Enabling the Next button to show error validation
This was especially useful to communicate it to the team and consider the limitations of platform technology.
During the iteration phase, I utilized Figma to develop a clickable prototype, using grids and components of the Design System.
I worked closely with back-end developers and engineers on improvements for the next iterations, and planned usability tests with researchers to develop the designs for the Minimum Viable Product.