This document summarizes user research and insights from interviews about nutrition and food choices. It then outlines early ideas for a digital solution called Comer鱈a that would allow users to visualize and track the impact of dietary changes on their overall nutritional wellbeing. The solution would provide customizable diets and allow drilling down on individual foods and schedules to see weekly and monthly performance.
2. User Research
Im usually pretty healthy
during the week. I go out to
eat on the weekends.
-Paula P., 32
I just started the paleo
diet for CrossFit, but I
dont think Im losing
any weight.
-Ankita D., 28
I got a CSA and that had
a big impact on how
many vegetables I ate. -Adam H., 41
I like things that are
tasty and keep me
going for the whole day.
-Whit H., 29Nutritious and 鍖lling.
Not too high in calories
and full of fake stu鍖.
-Tory H., 31
I try to shop at Market
Basket even though
Whole Foods is closer.
Its much cheaper.
-Scott C., 35
3. Insights
Availability has a high impact on food choices.
People often experiment with new regimens with the
anticipation of seeing various di鍖erent results.
Staying full is a high priority.
Diet varies depending on day of the week.
Organic and freshness important, but price still a
driving factor in food decisions.
4. I am an eater, and I should be able
to visualize how changes to my diet
a鍖ect an overall nutritional
wellbeing so I can make daily,
weekly, or monthly changes and
know their impact.
5. Brainstorming
Nutrition is di鍖erent for
everyoneone goal, many
ways to get there.
Daily and weekly score to take
into account weekend vs.
weekday.
Preprogrammed, customizable
diets for the week ahead.
Can drill down on foods, as
well as daily schedule, weekly
and monthly performance.
7. Branding and User Interface
Proxima Nova Condensed
Proxima Nova Condensed
Proxima Nova
Proxima Nova
Red Crimson
#EC1F4F
Blue Malibu
#1F9FCE
Pale White
#FFFAF0
Process Black
#58585B
CoMeR鱈a
Click Here
Click Here
Click Here
Click Here
9. How will we know
we solved our users problem?
Rate of frequency of app opening.
Amount of time with app open.
Allow users to share their score or high percentile,
and monitor frequency of sharing.
Monitor changes in users diets and look for
changes from baseline.