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1




Making smart
design decisions
Collaborative analysis techniques
Dana Chisnell
UX Lx - May 2010
2
3



Telling
Stories
4
5
6
7




Wiki or Blog
8



Rolling
Issues
Lists
9
10



Rolling issues
lists
Observations in real time

Observer participation = buy-in

Low-fi reporting
11




Observations in real time

 Large whiteboard
 Colored markers
 Don’t worry about order
 Be clear enough to remember
 what was meant
Rolling issues
Angela Coulter




Rolling issues
14




Observer participation


 After 1-3 participants, longer
 break
 You start
 Invite observers to add and track
 items
15




Weighting



 Number of incidents
 Who’s who
16
17




Big ideas, so far
Consensus: Observers buy in

 observers contribute to identifying issues
 you learn constraints
 instant reporting
18
19




What obstacles do teams face in
implementing user experience design
practices?
20



KJ
Analysis
21




Priorities, democratically

 reach consensus from subjective data

 similar to affinity diagramming

 invented by Jiro Kawakita

 objective, quick

 8 simple steps
22



1. Focus
question
What needs to be fixed in Product
X to improve the user experience?
(observations, data)

What obstacles do teams face in
implementing UE practices?
(opinion)
23



2. Organize the
group
Call together everyone concerned

For user research, only those who
observed

Typically takes an hour
24




3. Put opinions
or data on notes
For a usability test, ask for
observations

(not inferences, not opinion)



No discussion
25



4. Put notes on
a wall
Random

Read others’

Add items



No discussion
26



5. Group
similar items
In another part of the room

Start with 2 items that seem like
they belong together

Place them together, one below the
other

Move all stickies

Review and move among groups

Every item in a group

No discussion
27



6. Name each
group
Use a different color

Each person gives each group a
name

Names must be noun clusters

Split groups

Join groups

Everyone must give every group a
name

No discussion
28




7. Vote for the most
important groups
Democratic sharing of opinions

Independent of influence or
coercion

Each person writes their top 3

Rank the choices from most to
least important

Record votes on the group sticky

No discussion
29



8. Rank the
groups
Pull notes with votes

Order by the number of votes

Read off the groups

Discuss combining groups

Agreement must be unanimous

Add combined groups’ votes
together

Stop at 3-5 clear top priorities
30



Observation
to Direction
31
32



Observations
to direction
Observation
Inference
Opinion
Theory: Direction
33




Participants typed in the top chat area rather
than the bottom area.




Observations
34




Observations
                   Sources:

   What you saw     usability testing

  What you heard    user research

                    sales feedback

                    support calls and emails

                    training
35

             - Participants are drawn to
             open areas when they are
             trying to communicate with
             other attendees

             - Participants are drawn to
             the first open area they see




Inferences
36




Inferences
             Judgements

             Conclusions

             Guesses

             Intuition
37

           - Participants are invited to
           click there because it looks
           clickable

           - It’s the first open area in
           the widget

           - Participants did not see
           the typing area below




Opinions
38




Opinions
           Review the inferences

           What are the causes?

           How likely is this inference to be the
           cause?

             How often did the observation happen?

             Are there any patterns in what kinds of
             users had issues?
39




- Make the response area smaller until it has content



 Direction
40




Direction
            What’s the evidence for a design change?

            What does the strength of the cause
            suggest about a solution?



            Test theories
41
42
43

Big idea: Making sense of the data
Observation     Inference           Opinion              Direction
What happened   Gap between UI      Why you think it’s   A theory about
                and user behavior   happening            what to do about it
44
45


Big idea: Collaborative analysis
 share experience: stories
 each person shares their experience with the user
 everyone hears/sees rich users stories
 easy to visualize people using designs
  build consensus in real time: rolling issues
 observers contribute to identifying issues
 you learn constraints
 instant reporting
 identify priorities: KJ analysis
 quick, democratic
 make sense of the data, together
 what you heard, saw
 gap between the UI and the behavior
 What you think is happening
46




Where to learn more


    Dana’s blog: http://
    usabilitytestinghowto.blogspot.com/

    Download templates, examples, and
    links to other resources from
    www.wiley.com/go/usabilitytesting
47



Dana
Chisnell
dana@usabilityworks.net

www.usabilityworks.net
415.519.1148

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