In introduction into the three main points anyone tackling a Big Data project should take note of.

1. How to make sure your
Big Data UX won’t suck
Sebas9an Ullherr
eulenherr
Munich UX Meetup
2017-01-24

2. Hi, I’m Sebas9an,
Crea9ve Director
at interfacewerk.
Let’s talk about Big Data!

3. © Josh Lee

4. volume velocity variety
value validity
analy9cs

5. Awesome analy9cs.

6. Awesome analy9cs.
UX
———

7. PROBLEM I
How do we analyse
a large volume of data?

8. This isn’t the 💩
you’re looking for.

9. PROBLEM I
How to choose
the right analy9cs?

10. SOLUTION
Focus on decisions
the user has to make

11. PROBLEM II
How do you build trust with
expert users?

12. Screenshot © Glanos GmbH

13. SOLUTION
Summarise, but don’t hide

14. PROBLEM III
How do you make complex
analy9cs understandable?

16. SOLUTION
Use domain specific wording
and knowledge

17. If someone asks you to design
a toaster, start by studying
the history of bread making.
DAVID KELLEY

18. If someone asks you to design
analy9cs, start by studying
the history of using data to
make decisions in that area.

19. RECAP
I. Focus on the user’s decisions
II. Summarise, but don’t hide
III. Speak the user’s language

20. Thank you for having me!
Talk to you later.
I’m eulenherr on Twi^er.