The NSW Climate Data Portal makes petabytes of climate data data available to climate researchers, industry, emergency services, government, and the media, and the public. Open climate data enables us to understand the state of climate change in New South Wales, and for decision makers to make better and more data informed decisions.
Leading the design effort.
As the only designer on a team of dozens of techies and government stakeholders, my responsibility was to synthesise all requirements and paint a single road ahead for the portal.
I captured requirements from a team of stakeholders, analysed user research reports, and then delivered design mockups laying the ground work for the foundation of this open data portal. Following that, I user tested the proposed solution and delivered a report of findings and recommendations for next steps.
The design system.
I leveraged the existing NSW Government design system in the creation of this solution. This helped speed up stakeholder approval, development speed, and creates a more cohesive experience with other NSW Government sites.
No nonsense design philosophy.
My goal was to keep it simple and stick as close as possible to the existing design system. This would ensure both a faster build, and a more accessible solution, since the design system components are accessible out of the box.
Built on open source.
CKAN is the open source platform that's used for the technological foundation for this portal. After reviewing CKAN, I created a design diretion which utilised CKAN's strengths, complies with the NSW Government design system, and most importantly, meets the needs of the portal users.
Damir has the experience and initiative to take on a brief and work with all the key stakeholders to get an outcome. Above and beyond his high quality UX and design skills, this sets Damir apart from many other designers I have worked with.John Corlett Technical Product Owner at Link Digital
As part of this work I spent some time mapping out a vision for a data visualisation feature. One that would allow people without data science degrees to use the site.
Remote user testing.
A group of 20 target users participated. The result was a 71% success rate on the tree test, and an 80% average success rate for key tasks in the click test — promising!
The turnaround time for this work was a few months — factoring in everything from project analysis, stakeholder meetings, a few iterations on the design direction, prototyping, QA and testing.