Dashboard design

Circularity Gap Report Dashboard

Digital product

Renderings of the CGR Dashboard landing page and the Norway dashboard as product examples.

Context

The Circularity Gap Report (CGR) is a high-profile annual report published by Circle Economy Foundation that measures how circular a nation, business, or city is based on how materials are cycled back into the economy.

Context

The Circularity Gap Report (CGR) is a high-profile annual report published by Circle Economy Foundation that measures how circular a nation, business, or city is based on how materials are cycled back into the economy.

Challenge

The goal was to transform this dense, academic PDF report into a digital, interactive dashboard without causing cognitive overload or blowing past engineering constraints.

Challenge

The goal was to transform this dense, academic PDF report into a digital, interactive dashboard without causing cognitive overload or blowing past engineering constraints.

Solution & Impact

Lowered production timelines and publication costs via a reusable Strapi CMS template, unlocked the organization's first-ever reader behavioral analytics, and transformed static data into actionable insights.

Role

Lead product designer

Duration

2 months, 2025

Company

Circle Economy Foundation

Team members

Sophia Chou (product designer)

James Yan Aung (product manager)

Isfaaq Goomany (dev lead)

Wazeer Chadun (full stack developer)

Mahima Ramgolam (front end developer)

Skills

User research

UX/UI

Product management

Accessibility

Design system

Tools

Figma

Miro

"How might we transform a dense, text-heavy academic publication into a streamlined digital product that drives engagement, allows us to monitor usage, and reduces our resource input?"

Poor operational efficiency

Despite a somewhat standardized methodology and process, the PDF reports required intense manual investment, including custom graphics, writing, and formatting.

Cognitive overload

Heavy academic research text risked exhausting a less scientific audience and sometimes failed to provide concrete steps or examples for circular implementation.

Hidden insights

Static charts in the PDF lacked deep data explorability, while the internal team had zero analytics on reader behavior.

Process

1

Audit & scope negotiation

Content inventory: Since the content of the reports was written specifically for a PDF context, we had to analyze the content and determine how this would translate to a digital space. While researchers insisted that much of the content could not be excluded, we red-lined elements that didn't fit a digital context and restructured the information architecture for more flexible digital navigation.

Challenge:

The senior management team had the ambitious goal of delivering 10 nation dashboards in a period of 6 week, including an interactive global map, for both previously conducted as well as new analyses. As the most senior member in a mostly new team, I had to lead "reality-checking" the scope and together with the new PM create a more realistic, and aggressively scoped down proposal proposal that could be shipped on time.

A miro board with various elements representing the old report with comments on how they shoud be carried forward in the dashboard.

1

Audit & scope negotiation

Content inventory: Since the content of the reports was written specifically for a PDF context, we had to analyze the content and determine how this would translate to a digital space. While researchers insisted that much of the content could not be excluded, we red-lined elements that didn't fit a digital context and restructured the information architecture for more flexible digital navigation.

Challenge:

The senior management team had the ambitious goal of delivering 10 nation dashboards in a period of 6 week, including an interactive global map, for both previously conducted as well as new analyses. As the most senior member in a mostly new team, I had to lead "reality-checking" the scope and together with the new PM create a more realistic, and aggressively scoped down proposal proposal that could be shipped on time.

A miro board with various elements representing the old report with comments on how they shoud be carried forward in the dashboard.

2

Blueprint & MVP launch

Prototyping: Using the PDF as the guide and the visual language of the report and Circle Economy website, I went straight to designing medium fidelity prototypes for review due to the time constraint.

Information layers: The biggest amount of work was focused on where information should be presented directly, or hidden within expandable sections to provide more information when the user felt it was needed.

Simple interactions: Kept complex visualizations static for the initial launch but surrounded them with "Data Cards"—high-level metric summaries that compared local data to global baselines.

Figa documentation of the final dashboard design.

3

Scaling interactivity

After the initial MVP launch, we revisited the dashboard to introduce more value and engagement features to users.

Advanced interactions: Since many of our charts were custom designed, we performed a comprehensive inventory, UX reviews, and QA of our visuals charts to establish whether they should be built from scratch or should be redesigned using more standardizes Vega-Altair charts. Our approach ended up being mixed, beginning with a Vega-Altair base that was customized further to reflect our brand and the original charts.

Contextual learning: Introducing hoverable definitions and links to provide more context, and connected content to real-life case studies.

A screenshot of Vega-Altair's data visualization library.

3

Scaling interactivity

After the initial MVP launch, we revisited the dashboard to introduce more value and engagement features to users.

Advanced interactions: Since many of our charts were custom designed, we performed a comprehensive inventory, UX reviews, and QA of our visuals charts to establish whether they should be built from scratch or should be redesigned using more standardizes Vega-Altair charts. Our approach ended up being mixed, beginning with a Vega-Altair base that was customized further to reflect our brand and the original charts.

Contextual learning: Introducing hoverable definitions and links to provide more context, and connected content to real-life case studies.

A screenshot of Vega-Altair's data visualization library.

Solution

Dashboard overview

"At-a-glance": Designed a dedicated overview landing page acting as a macro-summary of the report's major data points, to reduce initial cognitive overload and keep more casual readers engaged.

Fast navigation: The summary page created an intuitive starting point that allows users to jump directly to specific sub-sections or chapters of interest.

A rendering of the Norway CGR Dashboard

Structured navigation

Cognitive rest: Broke the endless scroll into clean, digestible chapters interspersed with relevant visuals, charts, and regional case studies to prevent user fatigue.

Flexible exploration: Added a chapter-based index, allowing researchers to pivot seamlessly through the dense report structure based on topic relevancy.

A closeup of the navigation bar, showcasing the "chapters" of the dashboard.

Cross-filtered interaction

Interactive, coordinated charts: User frequently stated wanting more data than was provided in the static PDF. The dashboard allowed us to provide data layers through interaction. For example, we defined interaction rules for the data science team so that clicking a specific part of a chart would result automatically updates all adjacent charts with more relevant data.

An overview of interactive data visualizations that were included on the dashboard.

Learning by example

Dynamic real-life examples: Users frequently state that they wanted more guidance on how circular solutions can be or are implemented. So, we utilized our case study data base (Knowledge Hub) to integrate real-world circular solutions by dynamically pulling local case studies based on the region or topic being explored (e.g., Norway's waste management).

A closeup of the section of the dashboard containing Knowledge Hub case studies.

Were the challenges met?

Poor operational efficiency

Introduction of a CMS and standardizing visuals using the Vega-Altair charts cut fown production time and costs, and made it so that researchers and data analysist could work on the reports directly without design.

Cognitive overload

The "At-a-glance" dashboard overview provided a summary of the results, while strategically placed visuals, tables, case study examples, and expanding sections reduced cognitive load.

Hidden insights

Adding interactive charts to the dashboard provided more data insights that possible in the PDF report, and moving to a digital dashboard format inherently introduced analytics and the ability to evaluate usage of the platform and content.

Reflections

My role: Owned the end-to-end design lifecycle for the MVP before onboarding a junior designer for the next iteration. Led data/visual audits, drove scope-negotiation with the PM, created the UI system, and defined interaction behaviors for the data engineering team.

What went well

  • Data-driven pragmatism: Dropped mobile responsiveness and tooltips for launch after analytics showed 80% of traffic came from desktop research users. This allowed us to perfect the core experience within 6 weeks.

What could be better

  • Strategic oversight: Navigating the initial bloated scope required heavy upward management, confirming the importance of getting engineering and design into the room before timelines are locked by leadership.

  • Lack of research: Due to the severe time constraints our analytical assumptions were grounded in historical web traffic and consumer research, but compromised our ability to do qualitative usability testing.


What could be better

  • Strategic oversight: Navigating the initial bloated scope required heavy upward management, confirming the importance of getting engineering and design into the room before timelines are locked by leadership.

  • Lack of research: Due to the severe time constraints our analytical assumptions were grounded in historical web traffic and consumer research, but compromised our ability to do qualitative usability testing.