7. Why do we need data?
To learn about products and users
To measure success
To choose between options
To understand user interaction
To decide on our products
8. What can quant data tell us?
Quantitative data can help us:
!
Get stats on how people use our products
!
Measure actual user behaviour
!
Measure whether we are making a
noticeable difference
!
13. What can qual data tell us?
Qualitative data can help us:
!
Understand the why behind quantitative data
!
Get insight into what people think and feel
!
Learn about a product idea or prototype
!
!
17. Data driven
Focus on the “One Metric That Matters”
!
Build hypothesis around key KPI
!
A/B or multi-variate test continuously
!
Optimise your product based on data
!
Are we making a noticeable difference?
18. BUT...What data cannot tell
Is it a good product idea?
!
Metrics do not always offer you the full
picture
!
Data is one of the factors that feed into a
decision
!
We typically do not own all product
decisions
21. Data informed
Data is one of the factors to consider
!
Focus on the questions that you want
answered
!
You cannot replace intuition or creative
ideas with data
!
Assess impact on relevant areas
22. How to use data?
What do we want to do?
Assumptions, hypotheses, assessments, prototypes
How should it work?
User testing, user stories, A/B testing, prototypes
How is it working?
Product retrospectives, tracking, goal-oriented planning