NYC HackWeek 10-10-14 Presentation
-
Upload
swati-shah -
Category
Documents
-
view
23 -
download
1
Transcript of NYC HackWeek 10-10-14 Presentation
![Page 1: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/1.jpg)
Project XRAY
Swati Shah
Hackweek 10/10/14
![Page 2: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/2.jpg)
*
QA Engineer – NOVA Squad (Radio, Discover)
![Page 3: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/3.jpg)
*
Day to Day Life Test releases to ensure features are
working Improving product quality• Finding bugs to reduce software costs
![Page 4: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/4.jpg)
*
How do I find out about problems…?
![Page 5: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/5.jpg)
*
Listen to Customer’s Voice
![Page 6: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/6.jpg)
*
User forums
![Page 7: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/7.jpg)
October 10, 2014
Twitter Data on #SpotifyCaresData: 100,000 tweets for 1 week
Analysis: Key word searches (Radio, Crashes, Frustrated) into a WordCloud
![Page 8: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/8.jpg)
October 10, 2014
‘Spotify’ in Twitter feed
![Page 9: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/9.jpg)
October 10, 2014
‘Crashes’ in Twitter feed
![Page 10: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/10.jpg)
October 10, 2014
Twitter frequency graph on #SpotifyCares
![Page 11: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/11.jpg)
October 10, 2014
Twitter Topic Graph on #SpotifyCares – based on ‘Crashes’
![Page 12: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/12.jpg)
October 10, 2014
Twitter Top Trending Words on #SpotifyCares
![Page 13: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/13.jpg)
October 10, 2014
Twitter Sentiment graph on ‘Spotify’
![Page 14: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/14.jpg)
October 10, 2014
Insights about Twitter Feed• Lots of data – give us idea of related words• What is useful for QA…?:
• Knowing the frequency of the all tweets and the date/time of tweets
• i.e. if tweets go up from 300 per week to 300 a day; near Release Cycle date
• Build Early Warning Detection system via Dashboard• This would benefit all feature teams (Ads, Social, Platform)• Use Twitter API for more refined searches
![Page 15: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/15.jpg)
October 10, 2014
User Forum Data on Spotify Community
Data: 10 Users Posts with radio tagData is much more detailed, insightful
Analysis: Put data into WordCloud
![Page 16: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/16.jpg)
October 10, 2014
User Post in Forum:
![Page 17: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/17.jpg)
*
October 10, 2014
5 User’s Posts with tag ‘Radio’
![Page 18: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/18.jpg)
*
October 10, 2014
Top # Views of Post (Radio)
![Page 19: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/19.jpg)
*
October 10, 2014
Top # of Radio Topics
![Page 20: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/20.jpg)
*
October 10, 2014
Top Trending Topics – example:
![Page 21: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/21.jpg)
*
Insights about Forum Data• Some posts have detailed information from user perspective
(i.e. future tracks)• Generally, less than 10% of users report issues to forums
What is useful to QA…?•Understand users from another perspective•See how they use the product in unexpected way (integration other
features)•Customer insights help drive product improvements (i.e. delete
stations)•Understand common topics / trends users are experiencing•Get feedback for new releases/features in Radio (repeated tracks)
•i.e. New backend services (Apollo) on mobile (iOS & Android) impacts 5+ million users
![Page 22: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/22.jpg)
*
Vision: XRAY Dashboard
![Page 23: NYC HackWeek 10-10-14 Presentation](https://reader036.fdocuments.co/reader036/viewer/2022062522/5870fce21a28ab5f528b5f75/html5/thumbnails/23.jpg)
*
Shout out to:
Sebastian – CS analyticsRajiv – Data cruncher
Project XRAY – seeing through data