Following up on the next steps discussed in the last project with Invisible Strengths, I worked with the client to provide their users with a robust and intuitive filtering system for accommodations needed when searching for a job on their platform.
With the existing filtering system, I utilized two card sorting tasks with target users and conducted research on how competitors handle the categorization of accommodations as well as what current ADA guidelines require and the resources provided.
On the last project with Invisible Strengths, it was discussed that the accommodations provided in their filter needed further research and card sorting to determine what was intuitive to users when they were filtering jobs.
The previous filtering system was based on the most common disabilities in the US, but it was not known what accommodations belong where and if users would know where to look.
At the start of this project, I was tasked with a challenge. Providing users with a way to filter jobs by accommodations provided. While the task is clear, there were definitely some questions I had as I ask myself how to tackle this:
As I got to work on the initial research, it was essential to do a competitive and comparative analysis of the platforms available in the marketplace. It was key to see how other platforms handled categorization and accommodations and see how this could be applied to Invisible strengths.
From the research, it was clear that each platform handled the categorization of disability in its own way. Therefore, it was decided that Invisible strengths should clearly define categories and accommodations similarly to Inclusively, but should also allow for flexibility as I have learned from XR Access and Servicenow as the list of accommodations is constantly growing.
See full competitive and comparative analysisAfter taking a look at Invisible Strengths’ competitors, I also wanted to make sure I was really clear on the law. The ADA requires reasonable accommodations for anyone in a job, but also anyone applying to a job–and this includes state and local governments.
From the SOAR, 46 accommodations spread over these common disabilities. I believed it best that the accommodations to be sorted by users should not exceed 50 as we did not want to overwhelm users or have them abandon completion of the card sort task. The card sort was distributed along to disability networks provided by the client.
See card sort accommodations selectedFrom the open card sorting task, it was clear that users grouped the accommodations into two different categories:
Based on the users' two mental models, it was decided that a second card sort should be conducted. This time, closed with the categories relating to tools or goals.
See card sort interpretationI added a few more cards than the last card sort and made sure the kinds of accommodations on the cards addressed a wider range of disabilities than done previously. Again, The card sort was distributed along to disability networks provided by the client.
See card sort accommodations & categories selectedFrom the open card sorting task, it was clear that users had a general consensus on what accommodations belonged in which category.
Now were have categories and accommodations that are robust and intuitive to users. Now this brings us back to that question of what to do with overlaps, or accommodations that fit into multiple categories.
See card sort interpretationThese are some recommendations for the client based on the results:
From the research conducted, the final results are 10 accommodation categories created as well as 82 unique common accommodations, sorted into those 10 categories.
See final categories and accommodationsFrom the research, findings and recomendations, these are the next steps: