The initial step involved in-depth user research, comprising interviews with in-house SMEs and design collaborators. This process aimed to dissect user interactions with the existing data lake, identify pain points, and unveil challenges tied to data management, retrieval, analysis, and collaboration.
Re- architecting Exabeam Search
In 2022 Exabeam sought to re-architect their SIEM platform to deliver faster search results by creating a new Querying experience by designing an intuitive point-and-click interaction experience, and allowing for quick hot and cold data retrieval optimizing querying.
Task
The main goal of this project was to create a user-friendly tool that allows analysts to easily access both hot and cold data. In addition to this, I focused on refining the search functionality to enable intuitive point-and-click interactions, ensuring a seamless user experience.
The primary goal of this project was to design a user-friendly tool that allows analysts to seamlessly access both hot and cold data, ensuring they can retrieve critical information without friction. In addition, I concentrated on enhancing the search functionality, transforming it into an intuitive, point-and-click experience that simplifies complex queries. This refined interface aimed to streamline workflows, minimize learning curves, and deliver a seamless user experience that improves both speed and efficiency for data-driven decision-making.
I employed a multifaceted approach, utilizing methods such as surveys, interviews, observations, and competitive analysis. Surveys allowed me to collect quantitative data on user demographics and preferences, while interviews provided qualitative insights into their needs and pain points.
Create a user-friendly tool for analysts to quickly access their hot and cold data and to be able refine their searches through intuitive point-and-click interactions.
