Making Informed Design Decisions - MinnSPRA 2013
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
511
On Slideshare
497
From Embeds
14
Number of Embeds
2

Actions

Shares
Downloads
1
Comments
0
Likes
0

Embeds 14

https://twitter.com 12
http://www.linkedin.com 2

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Friday, April 12, 13
  • 2. MAKING INFORMED DECISIONSFriday, April 12, 13
  • 3. WHAT ARE WE TALKING ABOUT? DEFINING A PROBLEM UNDERSTANDING NEEDS OF AN AUDIENCE USING USER RESEARCH AND ANALYTICSFriday, April 12, 13
  • 4. WHO IS THIS GUY? Obligatory “a little about me” slide ZACK NAYLOR Principal UX Designer at The Nerdery User Research, Discovery, StrategyFriday, April 12, 13
  • 5. DISSECTING A PROBLEMFriday, April 12, 13
  • 6. WHAT’S YOUR PROBLEM? START WITH PURPOSE Making good, informed decisions requires an understanding of: ¼ What the problem is ¼ Why it’s a problem ¼ Who the problem impacts ¼ How to solve itFriday, April 12, 13
  • 7. WHAT DOES GOOD LOOK LIKE? DEFINING AN END STATE ¼ How will you know you’ve solved the problem? ¼ What questions do you have about the problem and/or solution? ¼ What does success look like?Friday, April 12, 13
  • 8. THE ROADMAP So, how are we gonna get there? ¼ What information do you need to answer those questions? ¼ Who/How can you get that information? ¼ What kind of information do you need?Friday, April 12, 13
  • 9. TYPES OF DATA Knowing which kind you need helps Measurable Quantitative Data ¼ Objective, number-based data or information Qualitative Data Non-measurable ¼ Subjective, impression-based data or informationFriday, April 12, 13
  • 10. QUANTITATIVE DATA Good for: Helps frame and ¼ Statistically representative data define the problem ¼ Large quantities of data ¼ Broad reach, low effort, shorter timeFriday, April 12, 13
  • 11. QUANTITATIVE DATA Collection methods: Start by reaching a ¼ Surveys broad set of your ¼ Web analytics audience in order to understand your ¼ A/B testing “problem space”Friday, April 12, 13
  • 12. QUALITATIVE DATA Good for: Learn the “why” and “how” ¼ Richer information ¼ Empathy and understanding of an audience ¼ Further definition behind quantitative dataFriday, April 12, 13
  • 13. QUALITATIVE DATA Collection methods: Once you have a broad ¼ Interviews understanding of the problem, choose ¼ Observation targeted areas to get ¼ Focus groups richer information to ¼ Usability testing inform the “why” & “how”Friday, April 12, 13
  • 14. COMBINING THE DATA Collection methods: Once you have a broad ¼ Interviews understanding of the problem, choose ¼ Observation targeted areas to get ¼ Focus groups richer information to ¼ Usability testing inform the “why” & “how”Friday, April 12, 13
  • 15. BUILD A METHODOLOGY Combine methods and data types to gain confidence What content should we have on the website?Friday, April 12, 13
  • 16. BUILD A METHODOLOGY Let’s use our outlined approach ¼ What the problem is ¼ How will you know you’ve solved the problem? ¼ Why it’s a problem ¼ What questions do you have about the problem and/or solution? ¼ Who the problem impacts ¼ What does success look like? ¼ How to solve itFriday, April 12, 13
  • 17. BUILD A METHODOLOGY Combine methods and data types to gain confidence What content should we have on the website? 1. Web Analytics 2. Survey 3. User Interviews Learn from a large number of ¼ Discover why that content is Understanding of the current target audience members useful and for what high traffic/visit areas of the what content may be useful purposes. website or interesting ¼ Identify how to deliver said content in the most meaningful way.Friday, April 12, 13
  • 18. YOU’VE BEEN PUNK’D This talk was created using this approachFriday, April 12, 13
  • 19. YOU’VE BEEN PUNK’D This talk was created using this approach 1. “User” Interview 2. Survey Who is the audience? What is the talk? What information would Who will be there? be helpful to them?Friday, April 12, 13
  • 20. YOU’VE BEEN PUNK’D This talk was created using this approachFriday, April 12, 13
  • 21. THANKS QUESTIONS? @ZACKNAYLORFriday, April 12, 13
  • 22. Friday, April 12, 13