Ask the right questions• persistence with tech• tolerance for risk & experimentation• how patient, how easily frustrated• tech savviness, expertise• strength of tech vocabulary• physical or cognitive abilities
• Attitude motivation, emotion, risk tolerance, persistence, optimism or pessimism• Aptitude current knowledge, ability to make inferences, expertise• Ability physical and cognitive attributes
Technique‣ Focus on the attributes that matter‣ Accounting for what the user brings to the design‣ Adjustable to context, relationships, domain
Tool‣ Framework to think about provisional or proto- personas (little or no data)‣ Schema to evaluate existing personas’ strength of coverage
Collaboration tool‣ Do our personas cover all the right attributes?‣ Have we heard from all the users we need to hear from?
Task +functionality!Buying tickets on awebsite for theMaccabiahVIP?Suites?Close to participants?Event?
Ask the right questions• Who is the most persistent when it comes to working with technology?• Who is the most likely to experiment and create workarounds when something doesn’t work the way they expect?• Who do you think will give up when they encounter frustrations out of impatience?
Ask the right questions• Which one has the most tech expertise? Which one strikes you as the least tech savvy?• Which one is the most likely to call tech support to help them get out of some tech pickle?• Who will have the most advanced tech vocabulary when they do call for support?
MatthewAttorneyHouse in Tel Aviv, marriedAssistant books reservationsLoves his BlackberryHates emailReads NYTimes on iPadAddicted to Words With FriendsDoesn’t spend a lot of time on the WebAvid hiker and birderBad kneesNeeds Rx eyepiece for scope
DennisBuilding contractorMarried to a nurseThey have 2 kids8-year-old cell phoneGets current events on the WebSees no usefulness in FacebookTrouble sleeping, easily distractedServed in the military: Blunt Force Brain Trauma
Jane1,000-acre farm12 different systems every dayTweets soil chemical readingsSmartphone alerts from exchangesTablet instrumented to aggregate dataMinimized manual inputArthritic thumbsNeeds stronger progressive lenses
How dodesigndecisionschange withtheseattributes?
Subtlety ofaffordancesSize of targetsDirectness of thehappy pathFeedback modalitiesLabeling & triggerwordsAmount of copyWording ofinstructions &messages
If you had this tool, what would you donext?What would be different for yourdesign?
A3 Persona modeler• Designing for attitude, aptitude, & ability• Accounting for what the user brings to the design• Checking that personas cover the right things
Big ideasPersona modeler: fast way to visualize users byasking important questions framework for talking about who users are can tell which users might be missing works with any amount of data middle ground between demographics and research-based personas
What obstacles do teams facein delivering the best possibleuser experiences?
ReviewHow’d that go?What might be differentfor your situation?
Priorities, democraticallyreach consensus fromsubjective datasimilar to afﬁnitydiagramminginvented by Jiro Kawakitaobjective, quick8 simple steps
1. FocusquestionWhat needs to be ﬁxed inProduct X to improve the userexperience?(observations, data)What obstacles do teams face inimplementing UX practices?(opinion)
2. Organizethe groupCall together everyoneconcernedFor user research, only thosewho observedTypically takes an hour
3. Put opinionsor data onFor a usability test, ask forobservations(not inferences, not opinion)No discussion
4. Put noteson a wallRandomRead others’Add itemsNo discussion
5. Groupsimilar itemsIn another part of the roomStart with 2 items that seem likethey belong togetherPlace them together, one belowthe otherMove all stickiesReview and move among groupsEvery item in a groupNo discussion
6. Name eachgroupUse a different colorEach person gives each group anameNames must be noun clustersSplit groupsJoin groupsEveryone must give every groupa nameNo discussion
7. Vote for themost importantDemocratic sharing of opinionsIndependent of inﬂuence orcoercionEach person writes their top 3Rank the choices from most toleast importantRecord votes on the group stickyNo discussion
8. Rank thegroupsPull notes with votesOrder by the number of votesRead off the groupsDiscuss combining groupsAgreement must be unanimousAdd combined groups’ votestogetherStop at 3-5 clear top priorities
Big ideas, so farGoal: share the most important observationsFocus: identify priorities democratic quick
Big idea: Collaborative analysis build consensus in real time: rolling issues observers contribute to identifying issues you learn constraints instant reporting model users: A3 persona modeler attitude aptitude ability make sense of the data, together observation: what you heard, saw inference: why the gap between the UI and the behavior direction: a theory about what to do about it