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@amir_ansari @dius_au1
UX: more than a gut feel
Amir Ansari – DiUS
@amir_ansari @dius_au2
6’3”
@amir_ansari @dius_au3 http://lyndabuitrago.com/tag/leaky-gut/
@amir_ansari @dius_au4
@amir_ansari @dius_au5
@amir_ansari @dius_au6
product and
technology strategy
application-specific
devices
web applications
mobile applications
@amir_ansari @dius_au7
http://dralexkent.files.wordpress.com/2011/12/gut.jpg
We feel we know…
• who our customers are
• what their pain points & barriers are
• what will trigger them to use our product
• this product will be a good idea
@amir_ansari @dius_au8
What is UX?
@amir_ansari @dius_au9
http://www.uxisnotui.com/
@amir_ansari @dius_au10
Study and Design of ALL aspects
of a person’s EXPERIENCE with a
product or service
@amir_ansari @dius_au11
@amir_ansari @dius_au12
@amir_ansari @dius_au13
The sooner we can find which features
are worth investing in, the sooner we
can focus our limited resources on the
best solution to our business problems.
Jeff Gothelf – LEAN UX
“
@amir_ansari @dius_au14
Quantitative Qualitative
What? Why?
• Data is solid and repeatable
• Confirm and deduce
• Result-oriented
• Large sample sizes
• Data is rich and deep
• Explore and describe
• Process-oriented
• Small sample sizes
• A/B or multi-variant testing
• Analytics
• Remote un-moderated
usability testing
• Surveys
• Focus groups
• Cognitive walkthroughs
• Moderated usability
testing
• Card sorting
@amir_ansari @dius_au15
@amir_ansari @dius_au16www.r-66.info
Completion rate
Task time
Task level satisfaction
Conversions
Page views
System Usability Scale (SUS)
Net Promoter Score (NPS)
@amir_ansari @dius_au17
Qualitative
Why?
• Data is rich and deep
• Explore and describe
• Process-oriented
• Small sample sizes
• Focus groups
• Cognitive walkthroughs
• Moderated usability
testing
• Card sorting
@amir_ansari @dius_au18
How do we
measure and
validate these?
And When?
@amir_ansari @dius_au19
Visioning Iterations Iterations Iterations Iterations
MVP
Launch
Inception &
Planning
1 2 3
@amir_ansari @dius_au20
Technique 1
@amir_ansari @dius_au21
@amir_ansari @dius_au22
Visioning Iterations Iterations Iterations Iterations
MVP
Launch
Inception &
Planning
1 2 3
@amir_ansari @dius_au23
30 – 60 mins 3 One on one interviews
@amir_ansari @dius_au24
• Concerns
• Fears
• Pain points
• Ideal experience
• Ideal channel
OUTCOMES
@amir_ansari @dius_au25
• Some had not come prepared
• Stakeholders wanted to ask
‘speculative questions’
@amir_ansari @dius_au26
• Stakeholders observing
• Call centre Staff felt engaged
and included
• More insights than we had
anticipated
@amir_ansari @dius_au27
Technique 2
@amir_ansari @dius_au28
@amir_ansari @dius_au29
Visioning
Inception &
Planning
1 2 3
Iterations Iterations Iterations Iterations
MVP
Launch
@amir_ansari @dius_au30
Focus group 3
2 hours
Focus group 1
Focus group 224
@amir_ansari @dius_au31
@amir_ansari @dius_au32
Outcomes
Feature 1 Feature 2 Feature 3
@amir_ansari @dius_au33
• 2 hours wasn’t quite enough
• Running sessions back to
back in the same evening!
@amir_ansari @dius_au34
• Stakeholders buy-in through
observation
• Validate assumptions
• Client was anonymous
@amir_ansari @dius_au35
Technique 3
@amir_ansari @dius_au36
Visioning
Inception &
Planning
1 2 3
Iterations Iterations Iterations Iterations
MVP
Launch
@amir_ansari @dius_au37
1 hour
One on one testing
6
@amir_ansari @dius_au38
http://www.nngroup.com/articles/how-many-test-users/
@amir_ansari @dius_au39
@amir_ansari @dius_au40
@amir_ansari @dius_au41
• Refinements sometimes not
subtle enough
• Design ping pong
@amir_ansari @dius_au42
• Speed of testing
• The feedback loop
• Stakeholder buy-in
(live stream)
• Rapid de-brief
• One designs and one tests
@amir_ansari @dius_au43
1. Background
2. Falsifiable Hypotheses
3. Details
6. Next Actions
5. Validated Learning
4. Results
User 1 User 2 User 3 etc.
Hypothesis 1   
Hypothesis 2  
Etc.   
• What feature or assumption to test
• What questions to ask
• How well does X perform
• Etc. • What to test next
• What hypothesis do we want to validate
1. That majority of users think X
2. That majority of users perform Y
3. That majority of users need Z
4. Etc.
• Previous experiment taught us …
• We want to find out…
• We want to test our solutions…
1. We can proceed with X
2. We need to tweak Y
3. We need to pivot and get rid of Z
Title: Experiment 2: XXX Author: Created:
• From focus groups, it was clear that one barrier
with other online providers has been the lack of
trainer support
• That providing access to trainers in the classroom
and telling students upfront about trainer
availability will eliminate barriers and increase
conversion
• Show users the marketing pages that talk about
trainer availability
• Show users the classroom with the trainer being
online
• Users indeed look for trainer availability and are
comforted by knowing OTI provides access to
them
• Test something else! ; )
@amir_ansari @dius_au44
bit.ly/rapid-debrief
@amir_ansari @dius_au45
@amir_ansari @dius_au46
@amir_ansari @dius_au47
@amir_ansari @dius_au48
@amir_ansari @dius_au49
@amir_ansari @dius_au50
5
One on one testingFocus groups
= $800
2 FTEs
X $160
X $375*
* Daily gross equivalent based on a gross annual salary of $90k
= $750
$1,550
16 = $3,200
3 FTEs
X $200
X $375* = $1,125
$4,325
If doing this internally…
@amir_ansari @dius_au51
@amir_ansari @dius_au52
Define why, what, when
who, where
how, how often
1
@amir_ansari @dius_au53
Become friends with the PM
(or the person with the budget)
2
@amir_ansari @dius_au54
Keep it lean and measure often
3
@amir_ansari @dius_au55
Get stakeholder buy-in
(Get them to observe)
4
@amir_ansari @dius_au56
Be consistent
in how you measure and capture measurements
5
@amir_ansari @dius_au57
Define when to Quant and when
to Qual
6
@amir_ansari @dius_au58
http://dralexkent.files.wordpress.com/2011/12/gut.jpg
Replace with more powerful point
• who our customers are
• what their pain points & barriers are
• what will trigger them to use our product
• this product will be a good idea
@amir_ansari @dius_au59
Thank you
Qualitative data can in fact be
converted into quantitative
measures even if it doesn't come
from an experiment or from a large
sample size.
Jeff Sauro – Measuring Usability
“
@amir_ansari @dius_au60
Resources
@amir_ansari @dius_au61
http://stamfordinteractive.com.au/conversations/benefits-of-guerrilla-testing/
@amir_ansari @dius_au62
You can quantify qualitative data!
bit.ly/quantifying-qualitative bit.ly/t-distribution
@amir_ansari @dius_au63
Completion rate
Task time
Task level satisfaction
Conversions
Page views
System Usability Scale (SUS)
Net Promoter Score (NPS)
{
Visioning
Inception &
Planning
Iterations Iterations Iterations Iterations
MVP
Launch
@amir_ansari @dius_au64
https://www.measuringusability.com/topics/UX

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Agile Australia 2014

Editor's Notes

  1. 15 years in the usability and UX space, most of it at the management level of some sort Last stint before Dius was 8 years at Stamford (Aus’s largest specialised UX agency) I’ve done my 10000+ hours
  2. My talk - So why the title?
  3. Who knows Dius?
  4. privately owned 100 staff in both Melb & Syd In May next year we will be 10 years old SW engineers at heart, BA, hardware engineers, UX Agile and nimble People drive our culture to innovate We believe in a strong and vibrant community. We sponsor conferences and meetups. Our employees give their time and skills to solve community problems.
  5. Product and technology strategy: what product should be built, how to get it to market. We do this for our own products too. Web applications: QANTAS-Jetstar accommodation booking, Vodafone self-service Application-specific devices: a fridge magnet for displaying in-home energy usage Mobile applications: the iPad app for Australia Post Digital Mailbox
  6. Any uxer’s out there? Hand up. Who can confidently define what UX means?
  7. Firstly, most people still don’t know the breadth of user experience skillset (uxisnotui)
  8. Two approaches to measuring UX
  9. UX metrics are relatively easy and black and white, so I won’t be covering them today. You can google and find out all about them.
  10. In this I’m going to cover the qualitative aspects.
  11. So you’re probably thinking to yourself what does Qualitative measurements look like in your agile project
  12. When you don’t have access to users. I used this when working for an enterprise startup - OTI
  13. Enterprise startup using Lean Startup approach.
  14. Next best thing to users Managed to capture and count the number of times the following themes occurred: Motivations and expectations to study Concerns/fears/barriers/pain points Ideal experience and channel Outcome: Personas Feature sets Hypotheses
  15. Watch out for anecdotes. Plural of anecdote is anecdotes, not data!
  16. What worked well
  17. Qualitative, small size but to go deep and understand sentiments, reasons for behaviours and perceptions etc. As we had planned to run experiments throughout the project, keeping it lean and light was important.
  18. Things to look out for when running group-based sessions: poor facilitation, group think, In quant, each data is seen as being independent. In a focus group, the entire session = 1 data point, due to Group Think effect. We split users up and do activities to increase our data points
  19. Outcomes
  20. What didn’t work so well
  21. Stakeholders got total buy-in – no barriers to convince re findings
  22. Moderated usability testing
  23. As we had planned to run experiments throughout the project, keeping it lean and light was important.
  24. How many know about the Nielsen Norman Group? Godfathers of usability and UX, especially when it comes to research and field studies.
  25. Online classroom was changed to Online study centre Seeing two modes side by side preferred over tab Seeing full course price was still important
  26. What didn’t work so well
  27. What worked well
  28. Lean experiment report
  29. Results annotated, tallied up, prioritised, recommendations made and fed back the end of that very day.
  30. PM happy.
  31. So how much do these activities cost Ux REDUCES COST INCREASES PRODUCTIVITY SALES BRAND LOYALTY AND ADVOCAY Just to name a few Research was done by Forrester Research that suggested the cost of fixing code was 10 times the cost of the design activities if done upfront , and up to 100 x when the product was launched
  32. We have trusted partners / market research recruiters that find our users form a large database
  33. Picking the right technique is very important. And these questions can help you choose and narrow down on the technique you need.
  34. For the OTI project, I spent 1 hour very early on defined the research/experiment approach, costed it and put it to the PM. It was included in the budget and signed off. Now some of you may not have access to the person with the wallet, or the budget may have already been allocated prior. In this case, you may have to take a more guerrilla approach to your experiments, OR find an advocate who can play in your team to try and convince a minimum number of user sessions.
  35. Keep it lean, quick and fast 5 – 6 users per experiment Prioritise issues Feedback quickly You don’t want to be seen as been the bottleneck – pragmatism is important
  36. Get them to observe If not, make sure you run through your issues Agree on pivots and recommendations
  37. Use consistent approaches to test and report Consider using templates Benchmark as design matures for future measurability
  38. Use consistent approaches to test and report Consider using templates Benchmark as design matures for future measurability
  39. If too expensive, to Guerrilla Usability Testing Shorter, often 15 – 30 mins Few features tested Often, on the road or at the participant’s location, and with some training developers can do it (Steve Krug’s book – This is not Rocket Surgery) Book by Steve Krug – Rocket Surgery Made Easy provides tips on how anybody can conduct usability testing.
  40. You can convert a usability problem into a frequency, using confidence intervals Categorizing and counting issues N= + 30 = good estimate for standard deviations, otherwise stick with t-distribution
  41. As the product matures, you can introduce more UX metrics and quantitative measurements
  42. Measuring the User Experience is more statistical, and assumes you have an existing product or service.