About Project
Radar is a complex and powerful tool that aggregates a tremendous amount of information from the various structures of the company.
It helps to simplify the analysis and reporting of the real-time data. With the help of Radar, user can view set of data from different angles and in various breakdowns.
Challenges
My Role
Was a key designer on the project
Defined UX problems and users pains
Created prototypes and mockups
Collaboration with BA, Dev & Qa teams
Delegated task to other designers and supervising
Creation and maintenance of the system design
Interviewed users & conducted user testing
Presented solutions to main stakeholders
Long Story Short
200+ New Features Added
Design system resolved 70+% of inconsistencies.
Usability completion rates improved by 1.5x to 2x.
Data-driven approach helped get rid of unnecessary functionality and set the right vector for further development of the application.
Time to complete key scenarios reduced by 30%.
Process
Discovery Phase
The first step for me was to identify the biggest pain points for core groups of users.
A Desk Research was conducted. In order to gather initial information about the product, several interviews with stakeholders and a couple of workshops were conducted, where we generated a number of hypotheses that were worth testing in the first place.
The brief, which included goals, timelines, expected deliverables, responsible persons, and more, was compiled and updated as new information became available.
Interviews and Surveys
In order to collect qualitative data, to better understand the requirements for the tasks as well as people's motivations, problems and pains, it was decided to conduct interviews. Because the business processes differed from one location to another, the range of respondents had to be expanded.
Also, in order to cover more people and to understand how painful for users certain issues are, a questionnaire with both open and closed questions was additionally sent out.
List of respondents was collected using data from google analytics.
Define
After collecting the core information, it was time to process it and create a User journey map to understand where users were experiencing major problems.
The research also revealed 4 groups of users with different goals, tasks and problems. I took this into account and compiled user personas that helped me in my further work with the platform.
So we know the problems, where should we start?
To prioritize the identified problems it was decided to use Effort/Impact matrix, where on one axis we define how serious the problem is for users, and on the second axis we define the time and effort to solve it.
How our competitors solve this problems?
Competitors were analyzed to understand how they solve user problems, to identify their strengths and weaknesses and discover potential opportunities.
It is time to generate ideas
Wireframes were used to generate ideas. Interactive prototypes were generated within the figma and tested on users.
After collecting feedback, the functionality was refined and continued to be tested until users had no questions while performing tasks. In case I had several different solution options, A/B testing was performed to understand which option worked better.
Data-Driven Approach
To better understand who our users are and how they interact with the app we used Google Analytics and Looker Studio
Dealing with non-consistency through Design System & Atomic Design Methodology
To get rid of non-consistency I’ve created a board where I have collected all the uses of standard elements.
Then for each element, I’ve created a flexible component that solved all current problems with the ability to scale in the future.
Additionally, I’ve prepared documentation to avoid misuse of components in the future and for easier onboarding of new employees
Next, our developers implemented the solution and rolled it out universally across our application.
Feedback from Colleagues
Rina Sankovich
Product Manager
"Alex is an invaluable asset to our team, consistently exerting maximum effort to enhance our product. Always open to experimentation and new ideas, Sasha prioritizes the product's improvement above all else.
His unwavering dedication is evident in his readiness to participate in activities that promise maximum benefits. I am truly grateful to have such a dedicated professional as part of our team."
Vitali Malkovich
UX/UI Designer
"I worked with Alex for a year on Staffing Stream. Sharp analytical mind, deep knowledge of design practices and good communication skills allowed Alex to effectively solve complex tasks on the ultra complex Staffing Radar.
His competence was also enough to help on Staffing Desk. I learnt a lot of new things from him, learnt to work with CJM, make researches, roadmaps, conduct workshops - Alex helped me to cope with all this."
Mikalai Ramanovich
Business Analyst
"Aliaksandr is a dedicated professional in his field and always ready to share his knowledge and help in solving emerging issues.
Working with Aliaksandr it is an absolute pleasure. He is incredibly helpful and always willing to assist with any problem that arises. He possesses a comprehensive and in-depth knowledge of our product's features, indicating his ability to handle complex problems."
Dzianis Davydau
Lead Developer
"I really appreciate the way Aliaksandr operates. He is not only a pleasure to communicate with, but also a highly skilled professional in my opinion.
He consistently demonstrates respect towards others, making interactions feel more natural and enjoyable. We worked together on the creation of a design system, which was a challenging and complex task. Despite joining our team after the work had already started, Aliaksandr quickly caught up and performed exceptionally well. His work was of high quality and he demonstrated a natural aptitude for the task."
