User-Centered DesignEffective Design Approaches for Health Behavior Change
Kara Chanasyk
Support a user’s goals while
transforming his or her behavior
Walk a mile in your
users shoes
User Research Early Stage Design = Collect & Refine Insights
Mid Stage Design
Late Stage Design
• Education
• Age
• Weather
• Convenience
• Belief System
• Triggers
• Cost
• Motivation
• Timing
• Gender
• Race
• Product Preferences
• Education
• Trigger
• Timing
Identify Initial
Assumptions
• Education
• Age
• Gender
• Weather
Collect & Refine Insights
Collect & Refine Insights
Education
Age
Gender
Product preferences
• Education
• Age
• Weather
• Convenience
• Belief System
• Triggers
• Cost
• Motivation
• Timing
• Gender
• Race
• Product Preferences
• Education
• Trigger
• Timing
Expanding our Insights
Education
Age
Gender
Product preferences
• Education
• Age
• Weather
• Convenience
• Belief System
• Triggers
• Cost
• Motivation
• Timing
• Gender
• Race
• Product Preferences
• Education
• Trigger
• Timing
Refine & Validate
Collect & Refine Insights
EARLY STAGE DESIGN:
Conceptual Research
OBJECTIVE: Collect/Refine insights
TECHNIQUES:
User Personas
User Stories/Task Analysis through:
Interview
Contextual Inquiry/ Applied Ethnography
Surveys
User Personas
User Personas
Using the Behavior Model
Collect & Refine Insights
Education
Age
Gender
Product preferences
• Education
• Age
• Weather
• Convenience
• Belief System
• Triggers
• Cost
• Motivation
• Timing
• Gender
• Race
• Product Preferences
• Education
• Trigger
• Timing
Expanding our Insights
Develop User Stories &
Task Analysis
• Recruit/Incentivize participants
•Conduct in person or via phone
• Write a short script of open-ended
questions
• Eats breakfast
• Drinks coffee
• Showers
• Puts on make up
• Rides bike to campus
Interviews
Example Insights:
Develop User Stories &
Task Analysis
Contextual Inquiry/Applied Ethnography
• Observe a person while in work flow
• Encourage the user to talk you through all
steps of their process
• Ask questions to clarify
• Alternatively Roll play
• Eats breakfast in kitchen
• Drinks coffee in the bathroom while getting
ready
• Showers and immediately puts on make up
before getting dressed
• Rides bike to campus
Result: more in depth insights:
Education
Age
Gender
Product preferences
• Education
• Age
• Weather
• Convenience
• Belief System
• Triggers
• Cost
• Motivation
• Timing
• Gender
• Race
• Product Preferences
• Education
• Trigger
• Timing
Refine & Validate
Collect & Refine Insights
MID STAGE DESIGN:
Preference Research OBJECTIVE: Investigates
desires, expectations, priorities
TECHNIQUES:
Surveys
Interviews
Card sorting
Participatory design
Focus Groups
LATE STAGE DESIGN:
User Testing
OBJECTIVE:Investigates abilities and reactions
PRE-LAUNCH TECHNIQUES:
Prototypes (paper and mockup)
Usability Testing
Split Testing
POST-LAUNCH TECHNIQUES:
Analytics
User feedback analysis
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