seen + learned
Showing posts with label non-profit. Show all posts
Showing posts with label non-profit. Show all posts

Science Festival Alliance website refresh

Posted: Thursday, April 18, 2013 | Posted by Debby Levinson | Labels: , , , 0 comments

The Science Festival Alliance supports the development and promotion of science festivals worldwide. We worked with the SFA to reorganize their existing website, design a new home page, and extend elements of the redesign throughout the site. We also improved their dynamic map to display member and non-member science festivals around the world, and designed a downloadable calendar widget anyone could install on their own site to keep up with where and when the latest festivals take place.

We provided:

  • Information architecture
  • Visual design

SFA home page
SFA home page

Festival map page
Map of member and non-member festivals worldwide

News page
SFA news page

Evidence for Action – UX & IA for MamaYe websites

Posted: Wednesday, September 19, 2012 | Posted by Tania Schlatter | Labels: , , , , 0 comments

Evidence for Action (E4A) is a five-year program designed to improve maternal and newborn survival in Ethiopia, Ghana, Malawi, Nigeria, Sierra Leone, and Tanzania.

We worked with E4A to develop the user experience for six country sites and one umbrella site, defining content and interactions to serve NGOs, local advocacy workers, and pregnant women, among others. Since some audiences would primarily access the site through mobile phones with slow connections, the sites had to keep performance and usability in mind while providing critical features, such as publishing tools and a dynamic catalog of downloadable advocacy materials.

Wireframe for MamaYe "parent" site home page, left, and country home page, right. The parent site provides an overview of the initiative and aggregates downloadable resources from all six countries.

Final parent site home page, left, and Sierra Leone home page, right. Designed by Georgia Lee and Jordan Chatwin of Advocacy International and developed by Catch Digital based on our wireframes and information architecture.

Using card sorts with storytelling to get off to a great start

Posted: Sunday, March 22, 2009 | Posted by Tania Schlatter | Labels: , , , , , 0 comments

Working with non-profits often means large teams with multiple stakeholders, each with a list of desired features and improvements that may have been in the works for years. The expectation level is high – funding has finally been approved, a target launch date planned and everyone knows just what they want – in fact, a site map has been developed. While each stakeholder is trying to address the perceived needs of their audience, when it all gets put together the results can be unprioritized and sprawling. The team may have been meeting for months and are looking for the designers to pick up the ball and run. However, committee-driven IA can be so democratic that it can miss providing the information that site visitors are looking for in the way they expect to find it. Our favorite path to a successful project with multiple stakeholders is holding card sort/participatory design sessions with storytelling as soon as possible.


Traditional card sort sessions involve gathering data from participants by having them sort terms into groups that make the most sense to them. These sessions are a valuable tool for creating navigation that makes sense to the people who will use the site. A large numbers of participants (>30) is needed to provide the data, and software to sort the responses is helpful. While traditional sorts are not difficult to do, we have found that having sessions with fewer participants (5-12) and mixing approaches provides input that covers several areas beyond defining appropriate navigation categories.

When sessions include prompting participants to tell stories about a specific time they used a site, perform a card sort, and use cards to position content and features on a page the way they'd like to see it the data is deep and rich. The results provide a clear picture of each person's mindset, and how that mindset affects how they think about content, categories and what they value. Patterns emerge that point to pretty clear user group needs. While it doesn't provide deep statistical data, it does provide rich scenarios of use and an understanding of needs and values that is just what we need to get buy in from stakeholders to prioritize the feature list and focus the IA on the top issues and most common situations.