Upload
uxpa-international
View
109
Download
3
Tags:
Embed Size (px)
DESCRIPTION
UXPA 2013 Annual Conference Thursday July 11, 2013 11:00 am - 12:00pm ET by Kelly Braun, Michael Morgan How can we leverage Personas to be an integrated part of a customer-centered corporate culture? In this presentation we will share the methods we used to create personas at Walmart as well as lessons we learned integrating Personas into the product development lifecycle. We will share materials based on a sample Persona created specifically for this conference. (The actual Walmart Personas are confidential and cannot be shared). After this presentation you will have a greater understanding of how to create your own Personas, leverage them as a program, and integrate them into your company culture.
Citation preview
Giving Personas a life of their own
Michael MorganSenior Manager, User Experience Research
UXPA2013
@WalmartLabs
Kelly BraunSenior DirectorUser Insights & Analytics
Our challenge: Understand the Walmart.com customer
●Lots of data on Walmart stores– 100,000,000 people shop in a Walmart every week
●Fiscal 2013 Walmart had net sales of $446 B
●Fiscal 2014 Walmart.com projected at $9 B
●Most Walmart.com shoppers also shop in Walmart stores
Who is the Walmart.com shopper?
How do we design for her?
@WalmartLabs: User Insights & Analytics 2
@WalmartLabs: User Insights & Analytics 3
History of Walmart.com
@WalmartLabs: User Insights & Analytics 4
Who is not a typical Walmart.com shopper?
@WalmartLabs: User Insights & Analytics 5
You are not the customer!
@WalmartLabs: User Insights & Analytics 6
Image Source: http://www.avsinc.net/imgs/pictures/usgbc-medium-conference-room-large.jpg
Drinks CoffeeLoves Cats
Previous attempts
@WalmartLabs: User Insights & Analytics 7
Personas
Vendors
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 8
Base Personas on Data
Personas
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 9
Provide a data rich view of online shoppers thatwill enable teams to make more
informed decisions about designing for Walmart.com.
@WalmartLabs: User Insights & Analytics 10
Data, data, data
●Mined multiple sources for existing data– Store customer data from HQ Consumer Insights team.– Ethnographic research conducted to inform Mobile product
development.– “Customer Pain Point” data
• Site “health” benchmarking studies• OpinionLab data
●New research was conducted– Attitudes and Usage survey– Customer Interviews (field and remote)
@WalmartLabs: User Insights & Analytics 11
Attitudes and Usage Survey
●2229 online shoppers.
●Blind study, data also gathered on various competitors.
●Multivariate, factor analysis.
●Cluster analysis produced 5 segments.
●Data collection and analysis done by:
@WalmartLabs: User Insights & Analytics 12
Customer Interviews
●32 customer interviews conducted by BellaVia Research
● Interviews conducted nationwide:– NY, IL, AZ, OH, TX, NM, WY, UT, LA, GA, NC
●Blind study
●Half before Holiday / half during Holiday– Including Black Friday and Cyber Monday
Persona Creation
Videos
Cross Tabs
Segmentation
Transcripts
Charts
@WalmartLabs: User Insights & Analytics
Melding multiple sources of data into a cohesive story
14
Organizing the data
@WalmartLabs: User Insights & Analytics 15
6 Personas
Image Source: http://www.docstoc.com/docs/67801242/segmentation@WalmartLabs: User Insights & Analytics
3 Primary Personas 3 Secondary Personas
16
Persona Material Creation Process
Personas
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 17
Image Source: http://www.21stcentech.com/wp-content/uploads/2011/10/maslow.jpg
?Drinks CoffeeLoves Cats
@WalmartLabs: User Insights & Analytics 18
Rough Sketches
@WalmartLabs: User Insights & Analytics 19
Final Visual Summary Statement
Demographics
Hierarchy of Needs
Personal Quote
Summary of Attitudes and Behaviors
@WalmartLabs: User Insights & Analytics 20
Delights and Disappointments
Channel and Phase of Shopping
Use Case
Final Visual
@WalmartLabs: User Insights & Analytics 21
Persona Novellas
@WalmartLabs: User Insights & Analytics 22
Buy In
Personas
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 23
Getting buy in along the way
●Within your organization
●External organizations
●Execs
@WalmartLabs: User Insights & Analytics 24
Week of: May 14 May 30 June 4 June 11 June 18 June 25
Personas Final ContentPersonas Final Content
Apply visual designApply visual design
Final Persona ApprovalFinal Persona Approval
Build in the time as part of your plan!
What is important to each stakeholder?
●Within the User Experience organization– Budget and Researcher time.– High quality data and rigorous analysis.– High quality final deliverables.– Stories: easy to consume knowledge about our customers. – Reference tool that can be used in all phases of the product
development lifecycle.
@WalmartLabs: User Insights & Analytics 25
What is important to each stakeholder?
●Within Product Development organization– How will Personas help us go faster during design and
development?
@WalmartLabs: User Insights & Analytics 26
What is important to each stakeholder?
●Within Marketing and other Research organizations– No “turf” wars: Personas are NOT a marketing tool.– They want their opinions are heard. Chance to give feedback.– High quality data and rigorous analysis.– “Feels” right.
@WalmartLabs: User Insights & Analytics 27
What is important to each stakeholder?
●Walmart.com President and Executive Council– Do these “feel” right?– Does the data support this?– Will we make the right decisions?
●Evidence of due diligence
●Support from other Execs
@WalmartLabs: User Insights & Analytics 28
4 Steps
Personas
Vendors
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 29
Training Phase 1
Image Source: http://www.uxmatters.com/mt/archives/2007/05/sharing-ownership-of-ux.php@WalmartLabs: User Insights & Analytics 3
0
Training Phase 1
High Level Summary
@WalmartLabs: User Insights & Analytics 31
Training
User Experience and Product Management Training
Tips• Introduction • Provide high level overview of main points• Group exercise
@WalmartLabs: User Insights & Analytics 32
Training Phase 2
Deep dive
Tips
• Figure out your consumers
• Tailor the content to those people
@WalmartLabs: User Insights & Analytics 33
@WalmartLabs: User Insights & Analytics 34
Image Source: http://www.innovationinpractice.com/innovation_in_practice/2010/05/the-voice-of-serendipity.html@WalmartLabs: User Insights & Analytics 3
5
Company-wide Training
Image Source: http://www.bluetunadocs.com/onlineCMS/userfiles/BlueTuna/NewEmployee.jpg
“I happen to like them. Anything to humanize the blinking lights on our servers and numbers in our spreadsheets is good for creative marketing.” – VP of Marketing
@WalmartLabs: User Insights & Analytics 36
Company-wide Training
Image Source: http://blog.smashfly.com/2012/02/28/switching-recruiting-technologies-3-ways-to-encourage-employee-buy-in/Image Source: http://content.arma.org/imm/July-August2012/garpseriesgettingbuyin.aspx; http://www.homemasterbuilders.com/images/commitment.jpg
Summary Statement
Demographics
Hierarchy of Needs
Personal Quote
Summary of Shopping Behaviors
@WalmartLabs: User Insights & Analytics 37
Company-wide Training
Delights and Disappointments
Channel and Phase of Shopping
Specific Attitudes and Behaviors
@WalmartLabs: User Insights & Analytics 38
Company-wide Training
@WalmartLabs: User Insights & Analytics 39
Company-wide Training
@WalmartLabs: User Insights & Analytics 40
Company-wide Training
@WalmartLabs: User Insights & Analytics 41
Personas
Vendors
Research Team
UX Design Team
Executive Stakeholders
Training Dept
Data
Buy In
Training Materials
@WalmartLabs: User Insights & Analytics 42
Questions
@WalmartLabs: User Insights & Analytics 43