Plan for initial user research
In today's session we have explored the idea of an All-in-one personal health tracker and we have also decided on a suitable target audience which will be students. We also came up with a range of methods to collect initial user insight which will allow us to better understand which direction to take the app in. We will collect this data by handing out questionnaires and carry out interviews.
Plan for initial user research
Project
Specification
·
Tracks dietary
info
o
Calories
o
Macros
o
Meal recipes
o
Blogs
from other users
o
Diet
plans/ workout plans
o
Challenges
(e.g. drink 7 glasses of water a day)
o
Meal diary/planner
o
Intake of
caffeine and others
·
Tracks
data to a specific exercise
o
Calories burned
o
Distance ran
o
Tracks
how long something has been done
o
Steps taken
o
Remembers
recent activities
o
Heart
rate
o
Sleep
tracker
o
Floor climbed
o
Trends
section
·
This will
be a mobile app so users will not have to purchase an external device such as a
smartwatch.
·
User
Interface
o
Dynamic
UI (shows info based on user’s activities)
o
Clean design
o
Use colours
that compliments each other (not conflicting colours)
Participants
·
Potential
users
o
Students –
we are based in a university campus and students enjoy going to the gym,
promotes healthier & active lifestyle amongst the students
o
Adults/regular
gym goers – allows them to track all the data in one app so they spend less
time on the phone and more time on being active
o
Casual/newbie
– lets the newbies see their progress and it encourages them to keep at it.
o
Features
apply to all users.
Recruitment
Strategy
·
Advertise
on social media, Northumbria uni website
·
Turn up
to a class
·
Stand outside
Sports central
·
Email to
students’ uni email address
·
Snowball –
pick a person, get them to pick someone else and so on
·
Ask
sports class teacher to inform the class
Methods to use
·
Questionnaires
·
Interviews
·
Observational
research (field work)
·
Focus groups
·
Look at
the current apps
What data is being
collected?
·
Calories intake
·
Calories
burned
·
Steps taken
·
Floors
climbed
·
The most
popular exercises
·
Sleep data
·
Active time
·
Distance
·
Weight
·
Heart rate
·
Stress
·
Water &
caffeine intake
·
Medical data
·
Other personal
info
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