A data-heavy SaaS platform faced critical usability issues caused by a complex, outdated information architecture. Users struggled with cognitive overload, inefficient navigation, and lengthy onboarding.
Led a six-month redesign initiative to restructure the platform’s information architecture based on user workflows and JTBD insights - a core focus within the broader beta platform redesign I led as Lead Product Designer in the design team.
Before
Outdated design and fragmented structure from years of patchwork development.
After
Complete new re-design of UI, Information Architecture, and overall User Experience.
created impact
Reduced onboarding time by introducing intuitive, task-driven navigation using familiar patterns and improved in-platform guidance.
Increased user efficiency by streamlining content and reducing cognitive load -addressing the time-pressured environment our users operate in, ultimately leading to higher satisfaction.
Established a scalable, component-based system that reinforced the redesigned information architecture through consistent patterns and clearer content hierarchy.
Overwhelming
Unnecessary information distracts from the task at hand.
Misaligned
Lack of personalization in workflows increases churn.
Stress & Frustration
Information overload leads to stress, errors, and lack of clarity.
save it once, use it always
By introducing customizable views, users can save and switch between personalized data presets - avoiding the need to repeatedly reapply filters or adjust columns. This prevents information overload by keeping each table purpose-driven and focused.
We default to showing data points deemed most relevant for the user profile, based on usage data.
Customization vs. Personalization:
Customization occurs when users actively choose and adjust settings to tailor their experience - this requires effort and a higher cognitive load.
In contrast, personalization anticipates users' needs and automatically delivers relevant experiences, reducing friction and enhancing usability.
clarity on demand
To reduce information overload, we introduced a drawer that reveals additional details on demand. Previously, all information was displayed at once, overwhelming users. By categorizing content into primary, secondary, and tertiary levels, we surfaced only what’s essential.
contextual choices, clearer paths
Users were overwhelmed by too many irrelevant actions at once. I streamlined the flow by revealing options contextually - guiding users step by step, and reducing decision fatigue.
simplifying large data sets with smart filtering
Handling large data sets requires an effective filtering system -something that was missing in the previous design. I introduced a comprehensive, in-depth filter, a familiar and expected pattern for table interactions.
Significant information reduction via dynamic menus
Moved the horizontal main menu to the left for a dynamic sliding in/out experience.
Created a new reading structure from left to right for improved flow.
Introduced sub-menu points for better content organization and scalability.
Switched to clean tables, replacing lists for better clarity
Replaced a click-through list with a table to display key product data.
Added a drawer for easy access to product details on demand.
Improved user efficiency and provided a personalized overview by introducing a search, filter, and column selector.
Aligned content structure with user flow
Analyzed user work processes and journeys to inform content presentation.
Organized content in a flow that guides users while showcasing expertise, e.g. suggesting next steps for action.
Created a seamless user experience by incorporating familiar patterns from widely used platforms.
Redesigns are change management. Leading a core redesign within a beta launch required aligning cross-functional teams and navigating resistance to change.
Prototyping IA pays off. Early tree tests and flow simulations helped validate structural decisions before full implementation, saving time and effort downstream.
Don't forget to have fun during the process :-)
Charlotte Kleckers
Copenhagen