Managing Information Overload

Designing a dashboard involves more than just displaying data—it's about making complex information digestible and actionable. The challenge I faced was managing information overload, as dashboards often present a large volume of metrics that can overwhelm users. With an RMS generating numerous summary metrics, I needed to find a way to filter and synthesize this data effectively. My solution involved prioritizing key metrics and creating clear, intuitive layouts that allowed users to easily navigate through the data, enabling them to quickly investigate and extract insights without feeling overwhelmed.

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Targeting Two Pain Points

My goal for this case study was to design a product from scratch, drawing inspiration from existing review management software. However, I quickly realized that while I had many ideas for new capabilities, it was crucial to narrow my focus. I decided to center my design around addressing the user's primary pain points: dashboard intuitiveness and speed to insights. To do this, I began by reviewing user feedback to identify the core issue and ensure that my product design would directly address this pain point, leading to a more effective and targeted solution.

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Future Product Development

While my current design focused on addressing the primary pain point identified through user research, I want to recognize some smaller enhancements that could be explored in future iterations. One idea is creating an AI tab, enabling users to interact with AI to draw key conclusions and guide next steps for tackling specific problems. Another idea is developing a custom module that would allow users to create and pin their own custom metrics to the overview dashboard, providing a more personalized and flexible experience.