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Exploring the research toolbox:
what to use, when and why.
Calgary - Vancouver - Toronto
Anthony Hempell
Director, User Experience
Tara Franz,
Director, Research
Part 1: Why do research, anyway?
Part 2: Understand the landscape
Part 3: Pushback & pitfalls
Part 4: Exploring the toolbox
Part 5: Case Study: ATB
Part 1:
Q: Why do research,
anyway?
Part 1:
Q: Why do research,
anyway?
“If we knew what it was we were doing, it would
not be called research, would it?” -Albert Einstein
Part 1:
Q: Why do research,
anyway?
“If we knew what it was we were doing, it would
not be called research, would it?” -Albert Einstein
“I believe in innovation and that the way you get
innovation is you fund research and you learn the
basic facts” - Bill Gates
Why Research?
Why Research?
measurements, facts, observations
“know nothing”words, numbers,
symbols
Why Research?
descriptions, correlation,
comparison, relationships
“know what”
meaning & purpose
Why Research?
framed experiences, values,
context, expertise, intuition;
organizational routines,
processes, practices and norms
understanding &
capability
“know how”
Why Research?
confidence to act
judgement, ethical and
aesthetic values
“know why”
So how do we do that?
gather server logs, conduct
surveys, perform usability tests
comparison & analysis of data
communicate and evangelize findings
turn insights into policies,
methods and actions
Part 1:
A: We want to fill our gaps
in the data to create useful
information, knowledge &
wisdom which can be used
to make the world a better
place.
Part 2:
Understand the
landscape
Part 2:
Understand the
landscape
“If you know the enemy and know yourself,
you need not fear the result of a hundred
battles.” - Sun Tzu
Some practical
questions before we
begin...
What do we already know?
Who are the users?
Who are the stakeholders?
Where are they located?
What are we trying to discover?
When do we need our findings?
How are the findings going to be used?
What do we already know?
What research results do we already
have access to?
How recent is it?
How was it collected?
Is it valid?
What does it tell us?
Has it been converted into organizational
assets like policies, procedures, shared
knowledge?
Who are the users?
What research has been done
on current audience?
Is any of it qualitative?
How has the current audience /
user / customer base been
determined?
Are there demographic aspects
to customer base that are of
interest -- language, age,
mobility, cultural, technology
use, etc.
Who are the
stakeholders?
Who has ultimate accountability
(financial and otherwise)?
Who is the primary point of contact /
responsibility for coordination?
Who else needs to be consulted?
What are their roles?
Who needs to be informed and when?
Who would be most affected if the project
goes poorly?
What are the desired outcomes + effects?
Where users +
stakeholders located?
Local? Provincial?
National? International?
Urban / Suburban / Rural
Regional attitudes /
behaviours?
When do we need our
findings?
Deadlines -- what is driving them?
Possibility of future research?
How are our findings
going to be used?
Creating requirements?
Concept creation or validation?
Setting policies / product direction?
Within small project team or
communicating across departments?
Part 2:
Gather as much data about
your surroundings as
possible.
Part 3:
Pushback & Pitfalls
Part 3:
Pushback & Pitfalls
“You can go anywhere you want if you look
serious and carry a clipboard” - Murphy’s Law
Part 3:
Pushback & Pitfalls
“You can go anywhere you want if you look
serious and carry a clipboard” - Murphy’s Law
“We don’t devote enough scientific research to
finding a cure for jerks” - Bill Watterson
Some common pitfalls
“We already have a research department
that does that”
“Marketing did some market research
last quarter, we can use that”
“Let’s put a survey up on our website”
“That sounds like it will take too long / be
too expensive -- let’s talk to some of my
friends / co-workers / kids instead”
“Let’s get the users to tell us what they
want” (a.k.a “Rainbow Unicorn”)
Some common pitfalls
“We already have a research department
that does that”
“Marketing did some market research
last quarter, we can use that”
“Let’s put a survey up on our website”
“That sounds like it will take too long / be
too expensive -- let’s talk to some of my
friends / co-workers / kids instead”
“Let’s get the users to tell us what they
want” (a.k.a “Rainbow Unicorn”)
Some common pitfalls -
why they happen
Organizational pressure
for concrete results, yesterday
Research not seen as
valuable / waste of time
Lack of knowledge about
research methods
Lack of understanding of
research benefits
Quote
Research
Strategy
Design
Culture
Testing
Novice Beginner Intermediate Advanced Enlightened
None
Ad-hoc,
Anecdotal
Data-driven
Qualitative +
quantitative
Triangulation: data
& observation;
passive & active.
Not used
Ad-hoc
Never
No knowledge
Reactive;
HIPPO
Creative Chaos
Rarely
Awareness of value
Focus on business
requirements
"Best practices"
Occasionally
Individual
champions;
traction difficult
Balance needs of
business & users
Style guides +
processes defined;
ideation & creativity
Sometimes
Some managerial
advocates +
success
Business is
customer-driven
Agile / Lean: small
teams, rapid design
sessions, iterative
Always
Empowered by C-
level executive
Adapted from: Shane Morris
http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx
"We don't have
time / money for
that!"
"Just do it."
"Think before you
act."
"Use lessons learned
to predict, plan and
create opportunity."
"Review, learn,
adjust, execute,
review, learn…"
Jakob Nielsen
http://www.nngroup.com/articles/usability-maturity-stages-1-4/
0 1 2 3 4
UX Maturity Model
Quote
Research
Strategy
Design
Culture
Testing
Novice Beginner Intermediate Advanced Enlightened
None
Ad-hoc,
Anecdotal
Data-driven
Qualitative +
quantitative
Triangulation: data
& observation;
passive & active.
Not used
Ad-hoc
Never
No knowledge
Reactive;
HIPPO
Creative Chaos
Rarely
Awareness of value
Focus on business
requirements
"Best practices"
Occasionally
Individual
champions;
traction difficult
Balance needs of
business & users
Style guides +
processes defined;
ideation & creativity
Sometimes
Some managerial
advocates +
success
Business is
customer-driven
Agile / Lean: small
teams, rapid design
sessions, iterative
Always
Empowered by C-
level executive
Adapted from: Shane Morris
http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx
"We don't have
time / money for
that!"
"Just do it."
"Think before you
act."
"Use lessons learned
to predict, plan and
create opportunity."
"Review, learn,
adjust, execute,
review, learn…"
Jakob Nielsen
http://www.nngroup.com/articles/usability-maturity-stages-1-4/
0 1 2 3 4
Quote
Research
Strategy
Design
Culture
Testing
Novice Beginner Intermediate Advanced Enlightened
None
Ad-hoc,
Anecdotal
Data-driven
Qualitative +
quantitative
Triangulation: data
& observation;
passive & active.
Not used
Ad-hoc
Never
No knowledge
Reactive;
HIPPO
Creative Chaos
Rarely
Awareness of value
Focus on business
requirements
"Best practices"
Occasionally
Individual
champions;
traction difficult
Balance needs of
business & users
Style guides +
processes defined;
ideation & creativity
Sometimes
Some managerial
advocates +
success
Business is
customer-driven
Agile / Lean: small
teams, rapid design
sessions, iterative
Always
Empowered by C-
level executive
Adapted from: Shane Morris
http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx
"We don't have
time / money for
that!"
"Just do it."
"Think before you
act."
"Use lessons learned
to predict, plan and
create opportunity."
"Review, learn,
adjust, execute,
review, learn…"
Jakob Nielsen
http://www.nngroup.com/articles/usability-maturity-stages-1-4/
0 1 2 3 4
Company A
Company B
Company C
Company D
Some common pitfalls -
how to avoid
Know your research question. Always have
concrete, measurable goals for your research that
you can refer to.
Build a research strategy and plan.
Be willing to listen to alternative points of view, but
don’t deviate from sound research practices.
Protect the validity of your methods. It is your
basic currency.
If you’re getting pushback, take baby steps.
Focus on the value.
Don’t force it. If the glass slipper doesn’t fit, it
doesn’t fit.
Part 3:
Observe and understand the
organization you’re working
with. Propose measured
improvements. Make
friends.
Part 4:
Exploring the toolbox
“If all you have is a hammer,
everything looks like a nail.”
- Abraham Maslow
Focus groups
In-depth interviews (in person / remote)
Ethnography
Card sorting
Usability testing
Usability benchmarking
Surveys
Observation
Message board mining
Coding customer feedback emails
A/B testing
Web Analytics
Diaries
Eye tracking
Online Panels / Communities
and more...
http://nform.com/cards/
Let’s look in the toolbox
Research dimensions
Basic vs Applied
Cross-sectional vs Longitudinal
Research purpose: Exploratory, descriptive, explanatory
Data collection techniques:
Quantitative vs Qualitative
Small vs Large sample
Moderated vs Unmoderated
Attitudinal vs Behavioural
http://qualitative.wikidot.com/dimensions-of-research
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Moderated
• Can observe subtle cues:
non-verbal behaviour, tone
of voice, etc.
• More chances for further
inquiry based on context
• Harder to eliminate biases
• Much higher quality of data
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Unmoderated
• Can	
  facilitate	
  much	
  larger	
  sample	
  
sizes
• Not	
  as	
  many	
  constraints	
  with	
  
different	
  9me	
  zones
• Limited	
  context
• Media	
  biases
• Respondents	
  have	
  more	
  9me	
  to	
  
par9cipate	
  (send	
  photos,	
  diaries,	
  
ponder	
  thoughts)
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
• Small	
  test	
  group	
  but	
  deeper	
  understanding
• Gathering	
  informa9on	
  or	
  themes	
  from	
  texts,	
  conversa9ons	
  or	
  
interviews
• Open	
  ended;	
  changeable.	
  There	
  is	
  a	
  maybe.	
  
• Opportunity	
  for	
  flexibility;	
  serendipity
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
• More closed questioning with directed response (pick
Yes or No, there is no maybe)
• Gathering data with an “instrument”
• Derive measures or variables (operationalization)
• Error of measurement
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
• Hybrid:	
  gather	
  data	
  qualita9vely	
  and	
  then	
  code	
  into	
  variables	
  
to	
  make	
  inferences	
  quan9ta9vely.
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Discovering	
  
mo9va9ons	
  in	
  
context
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x BLUE	
  =	
  measures	
  aUtudes
RED=	
  measures	
  behaviours
Focus	
  
groups
In	
  person	
  
interviews
Ethnography
Usability	
  tes9ng
Telephone	
  
interviews
Card	
  
sor9ng
Diaries
Online	
  
panels
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Observing	
  and	
  
tracking	
  
behaviours	
  in	
  
context
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Observa9on
Usability	
  
benchmarking
Eye	
  
tracking
BLUE	
  =	
  measures	
  aUtudes
RED=	
  measures	
  behaviours
Online	
  
panels
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Discovering	
  
general	
  themes	
  
and	
  aUtudes
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Message	
  board	
  
mining
Customer	
  
feedback	
  emails
BLUE	
  =	
  measures	
  aUtudes
RED=	
  measures	
  behaviours
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Gathering	
  data	
  
about	
  behaviours
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Web	
  
Analy9cs	
  
A/B	
  tes9ng
Customer	
  
feedback	
  emails
Unmoderated	
  
usability	
  tes9ng
BLUE	
  =	
  measures	
  aUtudes
RED=	
  measures	
  behaviours
Moderated:	
  high	
  effort	
  /	
  high	
  context
Unmoderated:	
  lower	
  effort	
  /	
  lower	
  context
Quan8ta8ve:	
  how	
  many	
  and	
  how	
  much
Qualita8ve:	
  why	
  and	
  how	
  to	
  x
Focus	
  
groups
In	
  person	
  
interviews
Ethnography
Surveys
Web	
  
Analy9cs	
  
Observa9on
Usability	
  
benchmarking
Usability	
  
tes9ng
A/B	
  tes9ng
Message	
  board	
  
mining
Customer	
  
feedback	
  emails
Telephone	
  
interviews
Card	
  
sor9ng
Unmoderated	
  
usability	
  tes9ng
Eye	
  
tracking
BLUE	
  =	
  measures	
  aUtudes
RED=	
  measures	
  behaviours
Diaries
Digital	
  
Ethnography
Online	
  
panels
Opportunities:
Triangulation
What data do you currently have? How was it
collected? Consider using a method that is
complimentary.
Do you have the opportunity to run two or more
research methods? Use different methods to look at
the same problem from different angles.
Part 4:
Know the strengths and
weaknesses of every
method and pick wisely.
If possible, research with
more than one.
Part 5:
Case Study:
ATB Financial
“Our youth now love luxury. They have bad
manners, contempt for authority; they show
disrespect for their elders and love chatter
in place of exercise” - Socrates
• Problem:
–Required insight and
understanding of the
millennial demographic
to increase market
share within the group
–Make something
awesome
ATB Case Study
• what do we already know?
– Lots of data about ATB customer needs and
current use
–Also were aware of Millennial research and
some overarching themes
ATB Case Study: Landscape
• Who are the users?
–Target of urban Millennials and drafted up a
demographic framework to contain the
sampling
• Who are the stakeholders?
–Emerge group at ATB and big wigs
–Ensure we had a plan to have them involved
ATB Case Study: Landscape
• Where are they located?
–Calgary, Alberta
• What are we trying to discover?
–Something we can take to market to engage a new
market for ATB
ATB Case Study: Landscape
• When do we need our findings?
–We had 3 months time
• How are the findings going to be used?
– To create a new offering
ATB Case Study: Landscape
• The plan:
- Secondary research review on Millennials and ATB data
- Ethnographic Immersion – be one with the animals
- DEBRIEF (this is where the real insight starts to happen and stakeholders are involved)
- User Interviews – understand the ways and the why
- DEBRIEF again – what have we learned? What else do we want to know? Let’s get our
persona on!
- NaĂŻve Expert and Extreme Customer Interviews (Kingdon; Science of Serendipity.
2012)
- DEBRIEF – what have we learned about solving problems?
- Innovation session
- The big write up and vote
- In field feedback (this is when you call your friends)
- RDL and prototyping
- Concept testing
- Finalize and forge ahead!
ATB Case Study: Toolbox
- How was everyone kept in the loop?
Collaboration
Remember the triangle?
- Secondary research review on Millennials and ATB
data
- Ethnographic Immersion – be one with the animals
- DEBRIEF (this is where the real insight starts to happen and
stakeholders are involved)
Stage One:
Foundation
- User Interviews – understand the ways and the why
- DEBRIEF again – what have we learned? What else do we
want to know? Let’s get our persona on!
• Semi structured phone and in person ethnographic
interviews: we dined, we coffee-d, we chatted, we made
life plans together
• Debrief goal: Personas
Stage Two: Patterns
- NaĂŻve Expert and Extreme Customer Interviews (Kingdon;
Science of Serendipity. 2012)
- DEBRIEF – what have we learned about solving problems?
- Innovation session
- The big write up and vote
Stage Three: Innovation
• Explored creative ways to solve the problems we had:
personal organizers, teachers, support workers,
rehabilitation counselors
• Spoke with people who were on the extreme side of
everything we discovered: wealthy and homeless
• Debrief goal: 5 solid ideas with a framework.
• Opportunity to vote on favorite idea
• In field feedback
- RDL: include your stakeholders and sometimes users
- Prototyping
- Concept testing:
- recruit the right people
- Test on the right screen
- Finalize and forge ahead!
Stage Four: Building
Anthony Hempell
anthony@uxguys.com
Web: www.uxguys.com
Twitter: @uxguys
Thank You!
Tara Franz
tarafranz@gmail.com
Web: about.me/tarafranz
Twitter: @tarafranz

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Exploring the UX Research Toolbox

  • 1. Exploring the research toolbox: what to use, when and why. Calgary - Vancouver - Toronto Anthony Hempell Director, User Experience Tara Franz, Director, Research
  • 2. Part 1: Why do research, anyway? Part 2: Understand the landscape Part 3: Pushback & pitfalls Part 4: Exploring the toolbox Part 5: Case Study: ATB
  • 3. Part 1: Q: Why do research, anyway?
  • 4. Part 1: Q: Why do research, anyway? “If we knew what it was we were doing, it would not be called research, would it?” -Albert Einstein
  • 5. Part 1: Q: Why do research, anyway? “If we knew what it was we were doing, it would not be called research, would it?” -Albert Einstein “I believe in innovation and that the way you get innovation is you fund research and you learn the basic facts” - Bill Gates
  • 7. Why Research? measurements, facts, observations “know nothing”words, numbers, symbols
  • 8. Why Research? descriptions, correlation, comparison, relationships “know what” meaning & purpose
  • 9. Why Research? framed experiences, values, context, expertise, intuition; organizational routines, processes, practices and norms understanding & capability “know how”
  • 10. Why Research? confidence to act judgement, ethical and aesthetic values “know why”
  • 11.
  • 12. So how do we do that? gather server logs, conduct surveys, perform usability tests comparison & analysis of data communicate and evangelize findings turn insights into policies, methods and actions
  • 13. Part 1: A: We want to fill our gaps in the data to create useful information, knowledge & wisdom which can be used to make the world a better place.
  • 15. Part 2: Understand the landscape “If you know the enemy and know yourself, you need not fear the result of a hundred battles.” - Sun Tzu
  • 16. Some practical questions before we begin... What do we already know? Who are the users? Who are the stakeholders? Where are they located? What are we trying to discover? When do we need our findings? How are the findings going to be used?
  • 17. What do we already know? What research results do we already have access to? How recent is it? How was it collected? Is it valid? What does it tell us? Has it been converted into organizational assets like policies, procedures, shared knowledge?
  • 18. Who are the users? What research has been done on current audience? Is any of it qualitative? How has the current audience / user / customer base been determined? Are there demographic aspects to customer base that are of interest -- language, age, mobility, cultural, technology use, etc.
  • 19. Who are the stakeholders? Who has ultimate accountability (financial and otherwise)? Who is the primary point of contact / responsibility for coordination? Who else needs to be consulted? What are their roles? Who needs to be informed and when? Who would be most affected if the project goes poorly? What are the desired outcomes + effects?
  • 20. Where users + stakeholders located? Local? Provincial? National? International? Urban / Suburban / Rural Regional attitudes / behaviours?
  • 21. When do we need our findings? Deadlines -- what is driving them? Possibility of future research?
  • 22. How are our findings going to be used? Creating requirements? Concept creation or validation? Setting policies / product direction? Within small project team or communicating across departments?
  • 23. Part 2: Gather as much data about your surroundings as possible.
  • 24. Part 3: Pushback & Pitfalls
  • 25. Part 3: Pushback & Pitfalls “You can go anywhere you want if you look serious and carry a clipboard” - Murphy’s Law
  • 26. Part 3: Pushback & Pitfalls “You can go anywhere you want if you look serious and carry a clipboard” - Murphy’s Law “We don’t devote enough scientific research to finding a cure for jerks” - Bill Watterson
  • 27. Some common pitfalls “We already have a research department that does that” “Marketing did some market research last quarter, we can use that” “Let’s put a survey up on our website” “That sounds like it will take too long / be too expensive -- let’s talk to some of my friends / co-workers / kids instead” “Let’s get the users to tell us what they want” (a.k.a “Rainbow Unicorn”)
  • 28. Some common pitfalls “We already have a research department that does that” “Marketing did some market research last quarter, we can use that” “Let’s put a survey up on our website” “That sounds like it will take too long / be too expensive -- let’s talk to some of my friends / co-workers / kids instead” “Let’s get the users to tell us what they want” (a.k.a “Rainbow Unicorn”)
  • 29. Some common pitfalls - why they happen Organizational pressure for concrete results, yesterday Research not seen as valuable / waste of time Lack of knowledge about research methods Lack of understanding of research benefits
  • 30. Quote Research Strategy Design Culture Testing Novice Beginner Intermediate Advanced Enlightened None Ad-hoc, Anecdotal Data-driven Qualitative + quantitative Triangulation: data & observation; passive & active. Not used Ad-hoc Never No knowledge Reactive; HIPPO Creative Chaos Rarely Awareness of value Focus on business requirements "Best practices" Occasionally Individual champions; traction difficult Balance needs of business & users Style guides + processes defined; ideation & creativity Sometimes Some managerial advocates + success Business is customer-driven Agile / Lean: small teams, rapid design sessions, iterative Always Empowered by C- level executive Adapted from: Shane Morris http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx "We don't have time / money for that!" "Just do it." "Think before you act." "Use lessons learned to predict, plan and create opportunity." "Review, learn, adjust, execute, review, learn…" Jakob Nielsen http://www.nngroup.com/articles/usability-maturity-stages-1-4/ 0 1 2 3 4 UX Maturity Model
  • 31. Quote Research Strategy Design Culture Testing Novice Beginner Intermediate Advanced Enlightened None Ad-hoc, Anecdotal Data-driven Qualitative + quantitative Triangulation: data & observation; passive & active. Not used Ad-hoc Never No knowledge Reactive; HIPPO Creative Chaos Rarely Awareness of value Focus on business requirements "Best practices" Occasionally Individual champions; traction difficult Balance needs of business & users Style guides + processes defined; ideation & creativity Sometimes Some managerial advocates + success Business is customer-driven Agile / Lean: small teams, rapid design sessions, iterative Always Empowered by C- level executive Adapted from: Shane Morris http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx "We don't have time / money for that!" "Just do it." "Think before you act." "Use lessons learned to predict, plan and create opportunity." "Review, learn, adjust, execute, review, learn…" Jakob Nielsen http://www.nngroup.com/articles/usability-maturity-stages-1-4/ 0 1 2 3 4
  • 32. Quote Research Strategy Design Culture Testing Novice Beginner Intermediate Advanced Enlightened None Ad-hoc, Anecdotal Data-driven Qualitative + quantitative Triangulation: data & observation; passive & active. Not used Ad-hoc Never No knowledge Reactive; HIPPO Creative Chaos Rarely Awareness of value Focus on business requirements "Best practices" Occasionally Individual champions; traction difficult Balance needs of business & users Style guides + processes defined; ideation & creativity Sometimes Some managerial advocates + success Business is customer-driven Agile / Lean: small teams, rapid design sessions, iterative Always Empowered by C- level executive Adapted from: Shane Morris http://blogs.msdn.com/b/shanemo/archive/2006/12/18/user-experience-maturity-model-microsoft-style.aspx "We don't have time / money for that!" "Just do it." "Think before you act." "Use lessons learned to predict, plan and create opportunity." "Review, learn, adjust, execute, review, learn…" Jakob Nielsen http://www.nngroup.com/articles/usability-maturity-stages-1-4/ 0 1 2 3 4
  • 37. Some common pitfalls - how to avoid Know your research question. Always have concrete, measurable goals for your research that you can refer to. Build a research strategy and plan. Be willing to listen to alternative points of view, but don’t deviate from sound research practices. Protect the validity of your methods. It is your basic currency. If you’re getting pushback, take baby steps. Focus on the value. Don’t force it. If the glass slipper doesn’t fit, it doesn’t fit.
  • 38. Part 3: Observe and understand the organization you’re working with. Propose measured improvements. Make friends.
  • 39. Part 4: Exploring the toolbox “If all you have is a hammer, everything looks like a nail.” - Abraham Maslow
  • 40. Focus groups In-depth interviews (in person / remote) Ethnography Card sorting Usability testing Usability benchmarking Surveys Observation Message board mining Coding customer feedback emails A/B testing Web Analytics Diaries Eye tracking Online Panels / Communities and more... http://nform.com/cards/ Let’s look in the toolbox
  • 41. Research dimensions Basic vs Applied Cross-sectional vs Longitudinal Research purpose: Exploratory, descriptive, explanatory Data collection techniques: Quantitative vs Qualitative Small vs Large sample Moderated vs Unmoderated Attitudinal vs Behavioural http://qualitative.wikidot.com/dimensions-of-research
  • 42. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Moderated • Can observe subtle cues: non-verbal behaviour, tone of voice, etc. • More chances for further inquiry based on context • Harder to eliminate biases • Much higher quality of data
  • 43. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Unmoderated • Can  facilitate  much  larger  sample   sizes • Not  as  many  constraints  with   different  9me  zones • Limited  context • Media  biases • Respondents  have  more  9me  to   par9cipate  (send  photos,  diaries,   ponder  thoughts)
  • 44. Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x • Small  test  group  but  deeper  understanding • Gathering  informa9on  or  themes  from  texts,  conversa9ons  or   interviews • Open  ended;  changeable.  There  is  a  maybe.   • Opportunity  for  flexibility;  serendipity
  • 45. Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x • More closed questioning with directed response (pick Yes or No, there is no maybe) • Gathering data with an “instrument” • Derive measures or variables (operationalization) • Error of measurement
  • 46. Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x • Hybrid:  gather  data  qualita9vely  and  then  code  into  variables   to  make  inferences  quan9ta9vely.
  • 47. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x
  • 48. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x
  • 49. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Discovering   mo9va9ons  in   context
  • 50. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x BLUE  =  measures  aUtudes RED=  measures  behaviours Focus   groups In  person   interviews Ethnography Usability  tes9ng Telephone   interviews Card   sor9ng Diaries Online   panels
  • 51. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Observing  and   tracking   behaviours  in   context
  • 52. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Observa9on Usability   benchmarking Eye   tracking BLUE  =  measures  aUtudes RED=  measures  behaviours Online   panels
  • 53. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Discovering   general  themes   and  aUtudes
  • 54. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Message  board   mining Customer   feedback  emails BLUE  =  measures  aUtudes RED=  measures  behaviours
  • 55. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Gathering  data   about  behaviours
  • 56. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Web   Analy9cs   A/B  tes9ng Customer   feedback  emails Unmoderated   usability  tes9ng BLUE  =  measures  aUtudes RED=  measures  behaviours
  • 57. Moderated:  high  effort  /  high  context Unmoderated:  lower  effort  /  lower  context Quan8ta8ve:  how  many  and  how  much Qualita8ve:  why  and  how  to  x Focus   groups In  person   interviews Ethnography Surveys Web   Analy9cs   Observa9on Usability   benchmarking Usability   tes9ng A/B  tes9ng Message  board   mining Customer   feedback  emails Telephone   interviews Card   sor9ng Unmoderated   usability  tes9ng Eye   tracking BLUE  =  measures  aUtudes RED=  measures  behaviours Diaries Digital   Ethnography Online   panels
  • 58. Opportunities: Triangulation What data do you currently have? How was it collected? Consider using a method that is complimentary. Do you have the opportunity to run two or more research methods? Use different methods to look at the same problem from different angles.
  • 59. Part 4: Know the strengths and weaknesses of every method and pick wisely. If possible, research with more than one.
  • 60. Part 5: Case Study: ATB Financial “Our youth now love luxury. They have bad manners, contempt for authority; they show disrespect for their elders and love chatter in place of exercise” - Socrates
  • 61. • Problem: –Required insight and understanding of the millennial demographic to increase market share within the group –Make something awesome ATB Case Study
  • 62. • what do we already know? – Lots of data about ATB customer needs and current use –Also were aware of Millennial research and some overarching themes ATB Case Study: Landscape
  • 63. • Who are the users? –Target of urban Millennials and drafted up a demographic framework to contain the sampling • Who are the stakeholders? –Emerge group at ATB and big wigs –Ensure we had a plan to have them involved ATB Case Study: Landscape
  • 64. • Where are they located? –Calgary, Alberta • What are we trying to discover? –Something we can take to market to engage a new market for ATB ATB Case Study: Landscape
  • 65. • When do we need our findings? –We had 3 months time • How are the findings going to be used? – To create a new offering ATB Case Study: Landscape
  • 66. • The plan: - Secondary research review on Millennials and ATB data - Ethnographic Immersion – be one with the animals - DEBRIEF (this is where the real insight starts to happen and stakeholders are involved) - User Interviews – understand the ways and the why - DEBRIEF again – what have we learned? What else do we want to know? Let’s get our persona on! - NaĂŻve Expert and Extreme Customer Interviews (Kingdon; Science of Serendipity. 2012) - DEBRIEF – what have we learned about solving problems? - Innovation session - The big write up and vote - In field feedback (this is when you call your friends) - RDL and prototyping - Concept testing - Finalize and forge ahead! ATB Case Study: Toolbox
  • 67. - How was everyone kept in the loop? Collaboration
  • 69. - Secondary research review on Millennials and ATB data - Ethnographic Immersion – be one with the animals - DEBRIEF (this is where the real insight starts to happen and stakeholders are involved) Stage One: Foundation
  • 70.
  • 71. - User Interviews – understand the ways and the why - DEBRIEF again – what have we learned? What else do we want to know? Let’s get our persona on! • Semi structured phone and in person ethnographic interviews: we dined, we coffee-d, we chatted, we made life plans together • Debrief goal: Personas Stage Two: Patterns
  • 72. - NaĂŻve Expert and Extreme Customer Interviews (Kingdon; Science of Serendipity. 2012) - DEBRIEF – what have we learned about solving problems? - Innovation session - The big write up and vote Stage Three: Innovation • Explored creative ways to solve the problems we had: personal organizers, teachers, support workers, rehabilitation counselors • Spoke with people who were on the extreme side of everything we discovered: wealthy and homeless • Debrief goal: 5 solid ideas with a framework. • Opportunity to vote on favorite idea • In field feedback
  • 73. - RDL: include your stakeholders and sometimes users - Prototyping - Concept testing: - recruit the right people - Test on the right screen - Finalize and forge ahead! Stage Four: Building
  • 74. Anthony Hempell anthony@uxguys.com Web: www.uxguys.com Twitter: @uxguys Thank You! Tara Franz tarafranz@gmail.com Web: about.me/tarafranz Twitter: @tarafranz