For those with dietary preferences or restrictions, choosing ingredients or recipes comes with the added challenge of navigating their needs.
With Dietary Profiles, users can shop without having to worry about ingredients they need to avoid being included.



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Stepping into the shoes of one of my potential users, I crafted a persona.
This persona, and her family, became a central part of my user testing scenario.

Annie was faced with attempting to use the current app to search for recipes that will accommodate her daughter's dietary needs. This exercise revealed a major stumbling block in planning for mealtime.


Taking a quick look at how the market is currently addressing user needs, I created a handful of categories of products that address those.








The prototype I created was built around a scenario, in which participants would take on certain traits, and tailor their dietary profile to match those needs.



After discovering a big sore point during user testing, I recreated the task flow from my testing scenario, this time without the extraneous step.



With a newly reorganized content structure that adds more refinement to user choices, I explored a number of new design patterns that would accommodate this new structure.


In large households, multiple profile cards may become overwhelming, so I worked on a 'minimized' version that could be toggled with access to the bare essential information and control.
Users are presented with common food allergens, followed by categories of foods that induce allergic reactions. Users can select a whole subcategory such as 'Tree Nuts' or individual allergens.
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Many restrictions were mutually exclusive to one another, or existed on a spectrum with other choices, this informed the content structure.
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I definitely gained a newfound appreciation for how much more difficult shopping for food and prepping for meals was for people with dietary restrictions or allergies.
This was truly a test like I hadn’t faced before when it came to organizing content, there wasn't a 'perfect' solution to be found, and I had to determine what constituted 'good enough' to address the largest number of dietary needs.
This is a lesson I’m already familiar with, but this was a project where research really had to continue through almost every step in the process. Secondary research had to be conducted on the initially defined problem space, then on comparable solutions to user needs, and finally design patterns for filtering results.
If I were continuing this project it would be important to: