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Designing   Outcomes   For Usability The Future of UX & Analytics Marko Hurst,  Director of User Experience Blog:   MarkoHurst .com Contact:   [email_address] Blog:   RosenfeldMedia .com   Follow:   twitter. com/markohurst
Search Analytics  ‘the book’ The next step in UX & Business. Bringing quals & quants together.
You Can Expect To Lean ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What Is Meant By  Designing   Outcomes ,[object Object],[object Object],[object Object],[object Object],And “knowing is 1/2 the battle”
They Create… ,[object Object]
They Create… ,[object Object]
They Create… ,[object Object]
They Create… I PROMISE 4 THINGS TONIGHT. ,[object Object]
They Create… ,[object Object]
They Create… ,[object Object],Yes, you can quote me.
Decision-Making Barriers To Entry ,[object Object]
Working Together In Silos Will the real Slim Shady pleas stand up? 1 2 3 4 5 6 Prefer 95% statistical difference Not trained to work with large data sets May or may not understand large &/or small data sets  Scorecards, KPI reports, web analytics, business intelligence, etc. Visitor/user personas, wireframes, comps, development, etc. Brand architecture, marketing personas, creative brief, etc.  Statistics, computer science, data mining, CRM Library science, psychology, design, computer science Business, marketing, finance  Data focused   (objective, behavioral) Visitor/user focused (subjective, attitudinal) Business/marketing focused Quantitative data  (clickstream, KPIs) Qualitative data ( ethnography, user testing) Marketing Data  (demographics, psychographics) Understand visitor actions  (what) Understand visitor motivations  (why) Understand consumers (visitors, not so much) Analytics UX  Business
Decision Making - Who’s Right? Who’s Wrong? “ Our corporate colors are  “color 1 & color 2”  and are the background color on all our material. This includes the website.” ~Client “ Ohhhh we could so do that in Flash!”   ~Creative Director “ We need to drive more traffic.” ~Client & Account Mgr “ Why do I need an IA? We’ll just reuse the copy from the package online”   ~Client “ The client only cares about the number of Page Views.”   ~Account Director “ But our user testing shows that users prefer  “Buy Now”  over  “Add To Cart.”   ~Information Architect “ We get to the ‘Product Detail Conversion Rate’ on page 127 of the (weekly) KPI report.”   ~Data Analyst  Knowing your online business model up-front will solve these (and any other) issues
Outcomes Worksheet Assumes your online business model is already identified
Framework A Basic Structure ,[object Object]
This is NOT and We Don’t Need Another… Tools you see today, that you can use tomorrow  Process Methodology
What We Need  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The hair on the back of your neck stands up in anticipation ,[object Object]
Designing  Outcomes  Framework Outcomes Data Data Data Adapted from Avinash Kaushik’s Trinity Strategy Framework Data & decisions past from one group to the next
Designing  Outcomes  Framework Outcomes Data Data Data 1. Goals ID ,[object Object],[object Object],[object Object],[object Object],[object Object],Data & decisions past from one group to the next Adapted from Avinash Kaushik’s Trinity Strategy Framework
Designing  Outcomes  Framework 1. Goals ID ,[object Object],[object Object],[object Object],[object Object],[object Object],Outcomes Data Data Data 2. Qualitative ,[object Object],[object Object],[object Object],[object Object],[object Object],Data & decisions past from one group to the next Adapted from Avinash Kaushik’s Trinity Strategy Framework
Designing  Outcomes  Framework 1. Goals ID ,[object Object],[object Object],[object Object],[object Object],[object Object],2. Qualitative ,[object Object],[object Object],[object Object],[object Object],[object Object],3. Quantitative ,[object Object],[object Object],[object Object],[object Object],[object Object],Outcomes Data Data Data Data & decisions past from one group to the next Adapted from Avinash Kaushik’s Trinity Strategy Framework
Outcomes Desired Results ,[object Object]
[object Object],[object Object],[object Object],Online Business Models Every decision you make is based on your business model(s) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Establish Goals  ,[object Object],“ Increase customer satisfaction by 7% across US market in the next 12 months via customer support”   + Goal  /  + Quantifiable “ Capture 100K visitor emails via online coupons over 3 months on our “XYZ” microsite for our CRM program”   + Goal  /  + Quantifiable “ Make my bonus” + Goal   /  - Quantifiable “ Clean simple design” - Goal  /  - Quantifiable A 3-part process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lead Gen: Trial - Applied Measure, Monitor, & Optimize
Attention “Brands” ,[object Object],[object Object],You are simply losing opportunities, visitors, and customers to your competition. ,[object Object],[object Object],[object Object],[object Object],[object Object],thinking  of your “website” as just a ‘brand website’!
Lead Generation: Trial Example How successful were you? How much better could it be? Step 2 Step 3 Step 1 Step 4 (G1)
Lead Generation KPIs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],How do you know if you are successful?
Lead Generation: Trial - Scenario Analysis Example Reporting vs. Analysis.  Test  Scenario Analysis against User Testing. Tie back to wireframes, personas, & segments.
Lead Generation: Trial - Multivariate Testing ,[object Object],You are NOT smarter than optimization technologies
Lead Generation: Trial - Monetization Model The proof is in the pudding
Surveys Tying Motivation To Clickstream
Simple Surveys  ,[object Object],[object Object],[object Object],[object Object],http://4q.iperceptions.com 1) With enough qualitative data it becomes quantifiable.  2) Tie clickstream data to segmentation, personas, business decisions.  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Keywords Visitor Confessions
Much More Than SEO https://adwords.google.com/select/KeywordToolExternal Use to improve copy/content, usability, search, personas, etc.  Don’t forget to optimize!
Functionalism Form Always Follows Function ,[object Object]
How Do You Measure A Macro & Micro Actions? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Functionalism
Most Common Functional Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],12 most common
Functionalism Example: Tide Step 2 - Explainer Step 3 - Converter Step 1 - Engager/Router Step 4 (G1) - Completer
Functionalism Example: Converter ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Business, UX, & Analytics design & measure against the same metrics ,[object Object],Step 3 - Converter
All Together Now Recap
How It All Ties Together ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ahhhh… warm & fuzzy
Put it all together, you get…
Thank   You   Marko Hurst Director of User Experience Blog:   MarkoHurst .com Contact:   [email_address] Blog:   RosenfeldMedia .com   Follow:   twitter. com/markohurst Peace Out! Designing   Outcomes
Resources & URLs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Designing Outcomes For Usability Nycupa Hurst Final

  • 1. Designing Outcomes For Usability The Future of UX & Analytics Marko Hurst, Director of User Experience Blog: MarkoHurst .com Contact: [email_address] Blog: RosenfeldMedia .com Follow: twitter. com/markohurst
  • 2. Search Analytics ‘the book’ The next step in UX & Business. Bringing quals & quants together.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Working Together In Silos Will the real Slim Shady pleas stand up? 1 2 3 4 5 6 Prefer 95% statistical difference Not trained to work with large data sets May or may not understand large &/or small data sets Scorecards, KPI reports, web analytics, business intelligence, etc. Visitor/user personas, wireframes, comps, development, etc. Brand architecture, marketing personas, creative brief, etc. Statistics, computer science, data mining, CRM Library science, psychology, design, computer science Business, marketing, finance Data focused (objective, behavioral) Visitor/user focused (subjective, attitudinal) Business/marketing focused Quantitative data (clickstream, KPIs) Qualitative data ( ethnography, user testing) Marketing Data (demographics, psychographics) Understand visitor actions (what) Understand visitor motivations (why) Understand consumers (visitors, not so much) Analytics UX Business
  • 13. Decision Making - Who’s Right? Who’s Wrong? “ Our corporate colors are “color 1 & color 2” and are the background color on all our material. This includes the website.” ~Client “ Ohhhh we could so do that in Flash!” ~Creative Director “ We need to drive more traffic.” ~Client & Account Mgr “ Why do I need an IA? We’ll just reuse the copy from the package online” ~Client “ The client only cares about the number of Page Views.” ~Account Director “ But our user testing shows that users prefer “Buy Now” over “Add To Cart.” ~Information Architect “ We get to the ‘Product Detail Conversion Rate’ on page 127 of the (weekly) KPI report.” ~Data Analyst Knowing your online business model up-front will solve these (and any other) issues
  • 14. Outcomes Worksheet Assumes your online business model is already identified
  • 15.
  • 16. This is NOT and We Don’t Need Another… Tools you see today, that you can use tomorrow Process Methodology
  • 17.
  • 18. Designing Outcomes Framework Outcomes Data Data Data Adapted from Avinash Kaushik’s Trinity Strategy Framework Data & decisions past from one group to the next
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  • 25. Lead Gen: Trial - Applied Measure, Monitor, & Optimize
  • 26.
  • 27. Lead Generation: Trial Example How successful were you? How much better could it be? Step 2 Step 3 Step 1 Step 4 (G1)
  • 28.
  • 29. Lead Generation: Trial - Scenario Analysis Example Reporting vs. Analysis. Test Scenario Analysis against User Testing. Tie back to wireframes, personas, & segments.
  • 30.
  • 31. Lead Generation: Trial - Monetization Model The proof is in the pudding
  • 32. Surveys Tying Motivation To Clickstream
  • 33.
  • 35. Much More Than SEO https://adwords.google.com/select/KeywordToolExternal Use to improve copy/content, usability, search, personas, etc. Don’t forget to optimize!
  • 36.
  • 37.
  • 38.
  • 39. Functionalism Example: Tide Step 2 - Explainer Step 3 - Converter Step 1 - Engager/Router Step 4 (G1) - Completer
  • 40.
  • 42.
  • 43. Put it all together, you get…
  • 44. Thank You Marko Hurst Director of User Experience Blog: MarkoHurst .com Contact: [email_address] Blog: RosenfeldMedia .com Follow: twitter. com/markohurst Peace Out! Designing Outcomes
  • 45.