UX/UI Design
Research
Design Systems
For this project, I led the design and research strategy. It was my responsibility to extract requirements from stakeholders, connect with users to understand their landscape and create hi-fidelity designs and prototype whilst collaborating with front-end development
Scrum Master
The existing landscape made data discovery a cumbersome process. The lack of a central catalog hindered users' ability to find and utilise relevant data. This created inefficiencies, security issues, and obstacles to data-driven decision-making.
Data Product creation was done without a UI, relying on highly technical skilled users to create data products using API's, this became a barrier for creation, reducing the amount of users who could contribute.
To address these challenges, we planned to create a data platform that would streamline data discovery, simplify creation, enhance security and empower users to leverage data effectively.
Objectives
01
Enhance Security and Access Control:
Implement robust security measures to protect sensitive data.
Provide granular control over data access, allowing producers to define specific permissions for different user groups.
02
Simplify Data Product Creation and Management:
Streamline the process of creating and maintaining data products, reducing the burden on producers.
Provide intuitive process for creating data products.
03
Improve Discoverability of products
Create a cataloging system with enhanced filtering to make finding data products easy
Ensure the platform is user-friendly for a wide range of users.
Outcomes
350%
Increased data product usage by 350% after the platform launch. Helping the organisation become more data-driven
80%
80% Reduction in Data Product creation time from 15 minutes to an average of 3 minutes.
01
Available data is scattered across the organisation, difficult to discover what's available and who can use it
02
The process of creating a data product is long and highly technical, limiting the amount of users who can create
03
Lack of access control processes in place for existing data, relying on due diligence of data owners
We interviewed a variety of data producers and consumers to understand the current data product creation process and process for discovering and consuming data across the organisation. This helped us identify various painpoints and opportunities to help shape the solution
Conducted user interviews with 8 producers and consumers to understand the creation, discovery and consumption process
Conducted weekly workshops with SME's, and users within the data practice to review progress and encourage collaboration with the project
Access to users was very difficult for this project, limiting our potential to gain insights on this unique piece of software. As a team, we needed to be extremely adaptable a flexible to manage very fluid requirements throughout due to the extreme technical back-end nature of the project.
The research we could conduct enabled us to get some understanding of the key processes, identify the pain points: the average creation time took over 15 minutes and was done solely through code using API's without a UI, Discovery was done virtually through word of mouth, access to products was long and arduous to gain permissions.
With these insights, we designed a retail-inspired platform with a comprehensive filterable catalog, an intuitive multi-step data product creation flow and role-based permissions system to control access.
01 Data Product Catalog and Filter System
We designed a retail-inspired catalog for discovering available data products, a central location for all data products in the organisation. Users could search and filter to refine their search results.
Having a visual, familiar experience for finding products in one location made it much easier for users to consume data.
03 Customisable Check-Out
The complexities of data products required a highly customisable experience, what platforms to consume with?, which version of the data?, which output port type do you want to consume from?
Continuing with the retail-inspired experience, we designed a customisable Basket / checkout experience that empowered users to get exactly what they needed from a data product.
