AI, Security and privacy @Decentriq
Unlocking secure collaboration with AI for data scientists and marketers
Industry
AI and privacy
Client
Decentriq
Position
Head of product design
Imagine large organizations, like banks or hospitals, want to collaborate and share data to better identify individuals at risk for certain diseases or those likely to purchase insurance. The challenge? They must do so securely, ensuring privacy regulations are met and sensitive information remains protected.
What I did on the project
Decentriq helps these companies work together safely, but when I joined, their platform was hard to use, not visually appealing, and lacked a structured design system. My job was to make it intuitive, professional, and user-friendly so that both tech and non-tech users could use it with confidence.
Discovery
The secure data clean room platform empowers brands to collaborate on data-driven AI insights while ensuring privacy. The platform required significant improvements in both features and user experience. Recognizing the need for change, I proposed a plan, laying the foundation for what would become an initiative to rethink and improve the experience of the platform.
What we shipped
Platform redesign
New look and feel, onboarding, navigation
The Decentriq platform redesign aimed to create a more intuitive and engaging user experience with a modern visual identity, simplified onboarding, and improved navigation. Step-by-step guidance and in-context support streamlined onboarding, while a logical structure enhanced discoverability and usability. Backed by user research and iterative testing, these updates deliver a seamless, user-friendly platform for all.
New design system
The design system established a cohesive visual language with modern typography, a refined color palette, and updated iconography, reflecting the platform's innovative identity. Reimagined components ensured clarity, accessibility, and intuitive interaction for all users. Responsive layouts and modular components enabled seamless multi-device experiences, while centralized guidelines streamlined development, fostering faster iteration and team alignment. This system became the foundation for a polished, efficient, and user-focused platform.
User research
Research and new features
Through user interviews and usability testing, we gathered key insights that shaped the design roadmap:
01
Transparency: Users wanted clear visibility into how their data was being processed and used.
02
Real-time feedback: Users expected immediate feedback when uploading data or defining audience segments.
03
Privacy controls: Users prioritized privacy features, like anonymization thresholds, to ensure compliance and mitigate risks.
What we shipped
Three main user types
01
Data analyst:
Concerned with ensuring data security during the collaboration process.
02
Campaign manager:
Focused on activating the audiences on ad platforms efficiently.
03
Marketing manager:
Needs an easy way to upload data, define audience segments, and assess campaign potential.
What we shipped
The Audience builder is a new feature that simplifies segmentation, and streamlines workflows for Decentriq users handling complex datasets.
01
Fragmented audiences:
Users often have scattered data across multiple audience segments, making it difficult to create cohesive targeting strategies. The Audience Builder simplifies this by enabling users to combine datasets seamlessly.
02
Complex filtering:
Applying specific filters and criteria to refine audiences can be cumbersome and time-consuming. This tool introduces an intuitive interface that allows users to easily apply, adjust, and visualize filters in real time.
03
Limited flexibility:
Traditional tools often require manual or technical work to create tailored segments. The Audience builder eliminates these barriers, empowering users to experiment and iterate quickly without the need for coding or data science expertise.
Outcome
In conclusion, Decentriq’s redesign and new features streamlined workflows, boosting user engagement and satisfaction.
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