The document discusses the essentials of product testing and user-centered design, emphasizing the integration of research, data, and testing to create informed UX designs. It outlines various tools, methods, and strategies for engaging users, gathering feedback, and validating design hypotheses, highlighting the importance of understanding audience needs and leveraging analytics. Key takeaways suggest that being informed in design is achievable and vital for success.

1. Product Testing and
Data-informed UX

2. Introductions

3. Who the heck are you?
Jim Lane
VP, UX AddThis
Organizer, NoVA UX Meetup
jim@addthis.com
@jimlanenova

4. Ok, what's AddThis?
AddThis a data, distribution and decisioning
company delivering powerful, easy to use
consumer engagement tools and services.
We provide:
● Consumer engagement tools
● Audience and data products
● Library of APIs and SDKs
● Browser extensions

6. By the numbers...
2008 2012
● 50 services ● 330 services
● 17 languages ● 70 languages
● 116k domains ● 14M domains
● 300M views daily ● 3B+ views daily
● 10TB of data daily

7. 2009 Presidential Inauguration = 1.5M people
3B views = 2000 inaugurations
The little things matter...

8. Product testing and data-informed UX

9. Three key takeaways
Research + data + testing = informed design
Being informed is easier than you think.
No excuses!

10. A caveat...
Data is important, but there are other
considerations as well...
● brand identity
● business objectives
● context (ex: mobile)
Let's get started with...

11. User-centered Design Approach
Plan Observe Prototype Design Test
Goals Surveys Paper Wireframes Quick tests
Metrics Field research Interactive PDF Design mocks A/B tests
Baselines User groups HTML Specifications Multi-variate
Personas User testing
Diagrams

12. Planning

13. Defining things up front
Start by understanding who your audience is:
● Who are they?
● What are they trying to do? What are their pain
points?
● What problems are they trying to solve?
● Who are primary vs secondary personas?
At AddThis, we have a lot of different kinds of users, so
utilizing multiple personas helps us structure different kinds
of design problems for different groups of people.

14. Google Analytics
Understand the existing state
● Basic site metrics
● Navigation analysis
● Demographics
● What are the metrics that really matter?
● Baseline before experimenting
Advanced segments can be used to apply historical
analysis and side-by-side comparison to visits that share a
particular characteristic, such as users of a particular OS.

15. Tip: Advanced Segments in GA

16. Observing

17. Enlist your users!
Lots of ways to engage your audience
● Social media channels (Twitter, Facebook)
● Email feedback tools
● Support SaaS (Assistly)
● Stakeholder interviews (Skype interviews)
● Start a user group (Google Hangouts)
● Surveys (SurveyMonkey)
Tip: SurveyMonkey crosstabs can help identify trends by
cross-referencing answers to poll questions based on
answers to other questions, such as company size or level
of experience.

18. General survey
Intro survey
●
●
●
Constructing a User Group

19. Tip: Remote Card Sorts with Google Docs

20. Prototyping & Design

21. Fast and iterative
Minimum viable design fosters speed and
iterative usability enhancement
● White boards
● Paper
● Omnigraffle
○ diagram -> wireframe -> design mock -> assets
● Balsamiq, other fast prototype-to-design-to-code
solutions

22. Using Post-Its to Solicit Feedback from Peers

23. Testing

24. Testing
Start with understanding the hypothesis
you're trying to evaluate. Be sure you're
solving the right problem!
Plan for testing as part of the design and
development process.
Statistical significance and confidence
intervals matter.

25. Testing hypotheses
Strategies
● A/B or multi-cell to get the big picture
● Multi-variate to fine-tune
● Funnel analysis to optimize conversions
● Release and measure for complex interactions or
little stuff
Tools
● GA & Google Content Experiments (formerly
Google Website Optimizer) for multi-cell
● Optimiz.ly or Convert.com for multi-cell and
multi-variate
● In-house A/B testing

26. User testing
Methods
● Task completion rate
● Task completion time
● Cognitive models and process analysis
● Track usability longitudinally
Tools
● 5-second test
● Usertesting.com

27. Don't forget about monitoring
● Google Analytics
● Product & brand scorecards (longitudinal)
● Internal reporting and alerting

28. Let's recap

29. User-centered Design Approach
Plan Observe Prototype Design Test
Goals Surveys Paper Wireframes Quick tests
Metrics Field research Interactive PDF Design mocks A/B tests
Baselines User groups HTML Specifications Multi-variate
Personas User testing
Diagrams
(whether you're waterfall or agile!)

30. Lots of strategies to choose from...
Quantitative Qualitative
● Google Analytics ● User surveys
● CrazyEgg.com ● Email feedback
● 5secondtest.com ● Assistly
● PDF prototypes ● User groups
● A/B & multi-variate testing ● Google+ hangouts
● User testing ● Social comments are data
● Facebook Insights ● ... and some of these can
● TwitterCounter.com et al. be quantified!
● Internal analytics systems
● Some can also provide
qualitative data

31. Three key takeaways
Research + data + testing = informed design
Being informed is easier than you think.
No excuses!

32. Resources
● Quantifying the User Experience (Sauro/Lewis)
● Advanced Web Metrics with Google Analytics (Clifton)
● Web Analytics An Hour a Day (Kaushik)
● HeadFirst Statistics (Griffiths)
● Landing Page Optimization (Ash)

33. Thank you!
Jim Lane
VP, UX AddThis
Organizer, NoVA UX Meetup
jim@addthis.com
@jimlanenova