What you can learn from usability testing

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Every study starts with a question. This session at CSUN 2014 started by examining the questions that usability testing can answer. Short case studies illustrate how the right technique will help us know not only what is happening but also why it’s happening. It's an overview of usability testing as a research method, and what you can (and can’t) learn from working with real people as they try to use a web site or other product.

Transcript of What you can learn from usability testing

Need a little usability?What you can learn from usability testing

Whitney QuesenberyCenter for Civic Design

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What questions do you want to answer with a usability test?

3Usability testing answers questions, so we have to

understand the question we are asking.

If we want to know:

Which design helps users complete tasks more effectively?

We are asking a question that is

Comparative, quantitative (errors, time)

(and why they made those mistakes)

If we want to know:

Do voters understand how to mark their ballot?

We are asking a question that is abut

Mental models, variability, qualitative insights(and how prevalent each model is)

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Helpful models for thinking about usability

A’s Ability, aptitude, attitude(what users bring to the interaction)

E’s Efficient, effective, engaging, error-tolerant, easy to learn(dimensions of usability)

Use Useful, usable (operable), desirable (context of use)

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The As help you think about diverse participants

Attitude

motivation, emotion, risk tolerance, persistence, optimism, tolerance for frustration

Aptitude

current knowledge, ability to make inferences or innovate solutions, expertise, habits

Ability

physical and

cognitive attributes

Source: Dana Chisnell "Character Creator" http://www.slideshare.net/danachisnell/character-creator

6Different users – and different contexts of use – can

change user needs

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5Es help you plan usability tests

Usability Goal Types of usability testing needed

Evaluate tasks for how accurately they were completed and how often they produce errors

Effective

Error-tolerant

Easy to learn Control how much instruction is given to test participants, or recruit participants with different levels of knowledge

Construct task scenarios to create situations with potential problems

Engaging User satisfaction surveys to gauge acceptancereview logs for ‘time on site’

Efficient Time tasks with realistic tasks and working versions of the software

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The recipe for planning a usability test

Location and context: formal informal

Recruiting: defined opportunistic

Activities: instructed tasks free tasks

Questions: structured unstructured

Data collection: observation task/data only

Results quantitative qualitative

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A few examples of questions and how we answered them

These examples all come from work on elections and civic design..but the principles apply to any project.

10Comparing two designs

Can a design improve user performance?

Plain vs. traditional language

About this project 45 participants 3 lab setting, 8 days 2 moderators Instructions for voting Careful observation Satisfaction survey

We learned about Voter accuracy Order effects Voter preference

Results Statistical analysis Participant preference

11Comparing two designs

Can a minor difference have a major impact?

Left aligned or right aligned names

About this project 100 participants 2 locations, 1 day 4 moderators + 6 others Instructions for voting Minimal observation

We learned about Voter preference Time to vote Number of errors

Results Statistical analysis of marked

ballots

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Testing a new designWhat problems might voters have with a new ballot design?

About this project 1 of 5 similar tests 10 participants 1 locations, 1 day 2 moderators + 1 others Self-defined tasks Observation Post-task questionnaire

We learned about Navigation on the ballot Instructions

Results Found pattern of errors for one

interaction Time on task

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Exploring new ideas

Can we extend a design to new audiences?

http://anywhereballot.orghttp://civicdesigning.org/featured-story/rapid-responsive-radical-the-anywhere-ballot-is-born/

About this project Research project Paper prototyping Low literacy

We learned about What they understsand Navigation Instructions Interactions

Results Simplified everything for a

clear, universal design

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Answers quickly and inexpensively

Can we find participants "where they are?"

http://anywhereballot.orghttp://civicdesigning.org/featured-story/rapid-responsive-radical-the-anywhere-ballot-is-born/

About this project 13 participants Observed and interviewed as

they filled in a new voter registration form

We learned about How people filled in the form

Results Improved voter registration

forms

This project and poster were done by Jenny Greeve, the Design Fellow at the Washington Department of Elections

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Learning about comprehension

Can voters explain and act on that understanding?

About this project 20 participants 4 locations, 1 day 8 moderators Self-defined tasks Minimal observation

We learned about Navigation on the ballot Instructions Mental models of counting Whether there’s a problem

Results Qualitative insights

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Gauging opinionWhich accessible voting system do voters prefer?

About this project 496 surveys; multi-disabilit 11 systems Multiday “voting fair”

They learned about Voter assessment of usability Voter comments about

accessibility Differences by disability

Results Statistical analysis survey

results Qualitative analysis of

comments

This was a project of the Oregon Department of Elections

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Planning a

usability program

18Look for a balance of methods by approach and

context of use

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Early in Project

Many Users

Few Users

Comparative benchmarking

Summative testingCard sorting

Satisfaction surveysMarket research

Iterative evaluation of prototypes

Evaluation of Designs

Ethnography

Use the right tool at the right time

Stakeholder interviews

User observation

WalkthroughsExpert Reviews

A-B Testing

20Look for the 'cadence' of what kind of usability work

you do at different times

Seeing the Elephant: Defragmenting User Research by Lou Rosenfeldhttp://alistapart.com/article/seeing-the-elephant-defragmenting-user-research

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Things to watch out for when planning a usability test

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Recruiting for diversity

Gender

Race/ethnicity

Income/education

Disability

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Treating participants with respect

Language and cultural issues

Managing context

Participant protections and informed consent

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Avoiding bias

Leading questions

Closed vs. open questions

Sampling bias

Moderator influence

Observer (or moderator reactions)

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Whitney Quesenberywhitneyq@wqusability.comwww.wqusability.com@whitneyq

Center for Civic Designwhitneyq@centerforcivicdesigncenterforcivicdesign.org@ChadButterfly

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Storytelling for User Experiencewith Kevin Brooks

Global UXwith Daniel Szuc

A Web for Everyonewith Sarah Horton

http://rosenfeldmedia.com/books/a-web-for-everyone/