The document discusses how listening experiences may change in the next 10 years. It notes that people enjoy listening to music selected for them by other people or services through playlists. It also discusses how data analytics can be used to measure the success of playlists, while data science can help with playlist creation and curation. The document suggests that in 10 years, playlists may be created through a combination of human input and algorithms.

1. Data and Playlists

2. How different do you think our
listening experience will be in the next 10 years?

3. People love listening to music selected for them by
other people

4. % Penetration of Target Audience
AvgHoursConsumed
0% 50% 100%
0 hrs/month
12 hrs/month
24 hrs/month
People love listening to music selected for them by
other people

5. % Penetration of Target Audience
AvgHoursConsumed
0% 50% 100%
0 hrs/month
12 hrs/month
24 hrs/month
People love listening to music selected for them by
other people

6. % Penetration of Target Audience
AvgHoursConsumed
0% 50% 100%
0 hrs/month
12 hrs/month
24 hrs/month
People love listening to music selected for them by
other people

7. % Penetration of Target Audience
AvgHoursConsumed
0% 50% 100%
0 hrs/month
12 hrs/month
24 hrs/month
People love listening to music selected for them by
other <people|services>

8. People love listening to music selected for them by
other <people|services>

9. Creativity vs Data

10. Creativity vs and Data

11. Creativity vs and Data

12. Creativity vs and Data
+

13. Creativity vs and Data
+
= well informed ideas, where success can be measured

14. Creativity vs and Data
+
= well informed ideas, where success can be measured

15. Data for Playlists
Data Analytics (performance)
Data Science (creation / curation)

16. Data Analytics for Playlists
Playlists as a feature

17. Playlists as a feature
ref https://blog.intercom.io/before-you-plan-your-product-roadmap/
Search Social Editorial Library Playlists Purchases

18. Playlists as a feature
All
of the time
Most
of the time
Some
of the time
Very little
of the time
Few
of the people
Some
of the people
Most
of the people
All
of the people
ref https://blog.intercom.io/before-you-plan-your-product-roadmap/

19. Playlists in 10 years time
Human

20. Playlists in 10 years time
Human
Algorithm

21. Playlists in 10 years time
Human + Algorithm

22. Thanks