CASE STUDY
Flowscape
A UX case study about reworking FlowAnalytics and the shared design system around it to make workplace data easier to understand and act on.
Overview
Role
UX/UI Design + Design System
Timeline
Dec 2025 - May 2026
Status
Released MVP
Platform
FlowAnalytics / Workplace Manager
I reworked FlowAnalytics, the analytics product, and created a shared design system for both FlowAnalytics and Workplace Manager, the admin portal it sits within. The work focused on improving usability, consistency, and clarity across both products.
The goal was to make office space usage easier to read, easier to navigate, and easier to act on for facility managers.
Problem
Users struggled to interpret key metrics in a dense and complex dashboard.
- The interface felt overwhelming and difficult to scan
- Important metrics were hard to locate quickly
- Lack of context made decision-making slower
- The experience did not adapt well to different user roles
Users
- Facility managers monitoring occupancy, space usage, and workplace performance
- Workplace managers using data to plan resources and support day-to-day decisions
- Office administrators needing quick access to clear metrics, filters, and saved views
USER INSIGHTS
Based on user interviews with both facility managers and analytics specialists, key behavioral patterns and pain points emerged across how users interpret and act on data.
Two primary user types emerged: a core user focused on quick decision-making, and a power user working deeply with reporting and analysis.
Understanding how users behaved in the current experience revealed recurring patterns.
Insight 01
Users needed orientation before detail
Users wanted to understand what they were seeing, why it mattered, and how it connected before diving into specifics.
Insight 02
Filters needed clearer cause and effect
Filters were central to the workflow, but unclear cause and effect made users rely on guesswork or manual workarounds.
Insight 03
High visual density reduced trust
When too much information appeared at once, users hesitated more and were less willing to act on what they saw.
Process / Improvements
Restructuring the experience
As a first step, I explored how the layout could be reorganized by bringing all key elements into a single structure. This was a way to test what a clearer and more structured overview could look like. The focus was on grouping related information and starting to introduce hierarchy, rather than solving everything at once.
Clarifying filter interactions
I introduced dashboard-specific quick filters for the most common actions, with the last option leading to all filters / advanced filters. Below that, a sticky active-filter section stayed visible while scrolling so users could understand what was applied while reading the data.
Improving data visualization
The visualizations were simplified to make key metrics easier to read at a glance. Important values were brought forward, while less critical information was toned down. This made it faster to understand how spaces were used and reduced the effort needed to interpret the data.
Outcome
The redesign gave the dashboard a clearer structure and a more consistent way of showing data. Key metrics, filters, and chart views were reworked to be easier to follow and easier to scan.
- Key metrics and space usage data were surfaced more clearly.
- Filter interactions were redesigned to make changes easier to follow.
- Charts and KPI cards were simplified to support faster reading.