The legacy provisioning process in PowerMax Unisphere was overly complex, involving too many steps. To address this, Dell’s management aimed to leverage AI technology to predict performance impact and recommend the most suitable systems for each workload—streamlining the process and enhancing the overall user experience.

I applied out-of-the-box thinking to tackle this complex challenge — replacing the traditional, cumbersome wizard-based process with a streamlined, Q&A driven experience. I designed a clean, intuitive interface that guides users through storage and replication provisioning while intelligently recommending the most suitable systems based on workload requirements. This solution also leveraged design patterns I developed for “PowerMax – AI-Driven Storage Management”, which received positive feedback from both users and stakeholders.

I partnered with the Dell Research team to conduct usability testing on the new design, and the feedback was overwhelmingly positive. Participants found the interface intuitive and user-friendly, and they praised the AI-driven predictions and recommendations for helping them quickly identify the most suitable systems. Many noted that the new experience would save them significant time compared to the legacy UI.

To effectively plan the project, I conducted a series of discovery sessions with key stakeholders:

After the discovery phase, I analyzed many dialogs and wizards in the legacy PowerMax Unisphere UI to identify key features for the new AI-driven experience. I mapped out end-to-end user flows, integrating intelligent recommendations based on users’ responses to guided questions. This work was done in close collaboration with management, engineering teams, and customers through a series of focused discussion sessions.

In the legacy Unisphere UI, users had to navigate through multiple wizards to create initiators, manually select source and destination systems, and configure connections — a process that was tedious, time-consuming, and prone to error.

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To address this, I designed a set of streamlined, Q&A-driven wireframes. Users simply answer a few guided questions, and PowerMax leverages AI to predict performance impact, recommend the most suitable systems, and automatically configure the necessary connections. This approach dramatically reduces setup time, eliminates manual complexity, and significantly improves the overall user experience.

Once the team aligned on the wireframes, I translated them into high-fidelity UI designs, adhering to PowerMax’s existing design guidelines. I conducted multiple review sessions with Dell management, the design team, and engineering teams to ensure alignment across stakeholders and secure final approval.

I partnered with the Dell Research team to conduct usability testing, supporting the study with an interactive Figma prototype. We ran multiple rounds of testing with real PowerMax customers. Feedback was overwhelmingly positive — participants praised the AI-driven predictions and recommendations for helping them identify the most suitable systems, noting that the new experience would save significant time compared to the legacy UI.

After the usability study, I delivered a complete set of high-fidelity UI designs and specifications to the engineering team, collaborating closely to ensure accurate implementation and alignment with the design intent.