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Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 1
Steve Mulder
You Are Not Your User Proven Techniques for Discovering Who Is
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 2
Business results depend on satisfying users
You are not your user
Learning about users requires direct contact
Knowledge about users must be actionable
Decisions should be based on users
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 3
The risks of Genius Design
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 4
Your user probably isn’t like you
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 5
Your users are a multitude
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 6
You might be a genius, but what about
your team members?
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 7
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 8
Personas bring focus
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 9
Personas build
empathy
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 10
Personas encourage consensus
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 11
Personas create efficiency
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 12
Personas lead to better decisions
Personas for DesignInformation architecture, interaction design, visual design, content development, user testing
Personas for MarketingFramework for marketing campaigns, branding, messaging, market research
Personas for StrategyFramework for business decisions,offerings, channel usage, features
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 13
Discovering Your Users
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 14
Myth:Research = Doing what users tell you
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 15
Truth:Research = Platform for imagination
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User Interviews
QUALITATIVE (INSIGHTS)
GOALS & ATTITUDES(ASPIRATIONAL)
BEHAVIORS(ACTUAL)
User Surveys
Usability Testing
Site Traffic/Log File Analysis
Eye Tracking
Field Studies (Contextual Inquiry)
Shadow Shopping (Shop-Along)
Intercepts
Customer Support Data
Card Sorting
Focus Groups
Diary/Journal Studies
Participatory Design
User Advisory Panel
Automated Usability Testing
User Reports
Collages
QUANTITATIVE (VALIDATION)A/B Testing
The landscape of user research and testing
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 17
Approach 1: Qualitative personas
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Why bring more science to
persona creation?
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Approach 2: Qualitative personas w/quantitative validation
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Approach 3: Quantitative personas
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Surveys
• Gather data on potential segmentation attributes (goals, behaviors, attitudes)
• Test new opportunities
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 22
Site traffic analysis
• Entry pages• Referrers• Exit pages• Common paths• Feature usage• Search terms• Conversion rate• Duration• Frequency
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 23
CRM data
• Annual spending• Frequency of purchase• Products or services purchased• Channel usage• Customer support usage• Length of time as a customer
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Quantitative nirvana: Complete user portrait
• Survey data
What the user does
• Site traffic analysis• CRM data• Self-reported survey data
What the user says
What the user is worth
• CRM data• Self-reported
survey data
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 25
Quantitative segmentation
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Quantitative segmentation
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Making personas real: Creating stories out of data
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 28
Components of personas
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Scenarios
Francis and Michael have agreed that she’ll take charge of learning more about the home-buying process. She goes online, does a Google search for “Atlanta real estate,” and follows a link to the site’s home page. She sees that she can search for houses from the home page, so just for fun, she does a quick Atlanta search to see what kinds of houses show up. There are lots of houses in many different neighborhoods, and she easily narrows her results down to the area where she and Michael live, using a map. There are still many results, and she’s not quite sure which search options to use to narrow the search further. Then she notices a link for first-time home buyers and follows, it hoping for basic how-to information.
The link takes Francis to a step-by-step tutorial that explains the whole process, and she immediately feels like she’s found the right site from which to begin her house search. She carefully reads some articles for first-time home buyers, taking notes as she reads. She bookmarks other articles she wants to go back and read later. She also comes across the site’s calculator and starts trying different combinations of numbers to find out what she and Michael can afford. She particularly likes the glossary of terms so that she can finally figure out what “points”are and learn more about different types of mortgages. After an hour and a half of reading, her brain is full, and she shuts her computer down for the day, feeling like she got an excellent start.
The next day, she comes back to the site to look up information specific to Atlanta neighborhoods and finds lots of information on each. She’s able to focus on five neighborhoods that look particularly good. The fun begins that night, when she takes Michael through all that she has learned, and they set up a regular schedule for looking at online house listings.
Copyright © 2007 Molecular, Inc. | www.molecular.com | Linked by Isobar 30
Using Personas
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Persona cards
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Lifesize cutouts
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Persona cubicle
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Business strategy
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Features and functionality
User research
Personas
Goals
Scenarios
Task analysis
IA & design
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Structure
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Content
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Design
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Testing and measuring success
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Thanks!
Steve [email protected]
PracticalPersonas.com