This document discusses Lean UX and how to get to know users through various techniques. It recommends building, measuring, learning, and repeating the process. Key aspects include conducting user research through surveys, analytics, personas, and testing assumptions and hypotheses with prototypes. The goal is to learn fast through an iterative process that prioritizes user needs to build the right products.

1. Get to know your
users using LeanUX
@Kev_C_Murray

2. Lean UX

3. Lean UX
c
Build Measure Learn Repeat

4. Pause Reflect Decide
Lean UX

5. insight
service desk
tickets
user
surveys
on/off-site
analytics
existing
research
social
media
search
data

6. High Risk
Unknown
Assumption
Mapping
Low Risk
Known

7. Uncertainty
Proximity
Assumption
Mapping

10. Hypotheses
Driven
Development

11. We believe that [doing this/building this feature/creating this experience]
for [these people]
will achieve [this outcome]
When testing this by [test we carried out]
we learned [what we learned from our test]
So we will [next action to learn more]
hypotheses

12. We believe that
for
will achieve
When testing this by
we learned
So we will
As a ……
I want to ……
So that I ……
Given …..
When …..
Then ….
Hypothesis User Story
hypotheses

13. task-based
personas
What do users
actually need?
Income
Politics
Favourite
Colour
Ethnicity
social
Class
Pets
Parents

14. User
Needs

15. User
Needs
State

16. G.O.O.B
(Get Out Of the Building)

17. lab testing

18. “Even a small connection
to the people who benefit
from your work not only
improves productivity, it
makes people happier”
Laszlo Bock, Google

19. user research is a team sport

20. Need Superstars

21. Affinity sorting

22. observation observation
observation observation
observation observation
Theme
Actions

23. prioritising for the backlog

24. Wed Thu Fri Mon Tue Wed Thu Fri Mon Tue
User
Research
User
Research
Prototyping Prototyping
Affinity Sorting
Sprint Planning
(& pub)
Show & Tell
(& pub)
Affinity Sorting
Sprint Planning
(& pub)
Show & Tell
(& pub)

25. Fail Fast
Fail Early

26. Learn Fast
Learn Early

27. Assumption
Hypothesis
Test
Data
Insight
Product Backlog
User Needs
Proto Personas
Prototypes
Affinity sorting
User Research /
Analytics
Learning,
Revisions,
Additions

28. bringing it all together
increasing learning
and confidence in
what to build
increasing fidelity of prototypes
1 2 3 4

29. get to know
your users
thank you