SONGMARKSegment Your Songs

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Music explorers need musical bookmarks that divide tracks into meaningful segments because logical division makes browsing through musicless stressful andless speculative while beingmore delightful.

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TRIAL 1 DESIGN

Segment by Logic (Intro, Verse, Chorus, Bridge, etc.)

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TRIAL 2 DESIGN

Segment by Energy (Low, Medium, High)

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Trial 1

Trial 2

37 Users78% prefer logical22% more songs previewed29% time saved

13 Users69% prefer energy33% more songs previewed36% time saved

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“The intro reveals the genre, but the quality of the the song still depends on the whole piece. Song segmentation by color makes previewing each part (verse, chorus, bridge) easier and faster so that I can make quicker decisions.”

“I immediately knew which parts of the songs to jump to to get a better understanding of the overall song. Also the song was much more ‘glanceable’ and I was able to immediately tell which songs were more my type.”

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1. Smart music segmentation is useful, reduces annoyance during discovery, and has potential commercial applications.

2. Built-in data capture & low-friction test distribution are very important.

3. Be careful when drawing conclusions from data.

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THANK YOUFROM THE

SONGMARK TEAM BORUI @BORUI_WANGTONY @IMTONYJIN

CECILIA @PADME_CECILIAHUISI @HUISI_LI

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ADDITIONAL INFO

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LIVE DEMO LINKSEnergy-based segmentation: http://bit.ly/songmark-energy

Logic-based segmenation: http://bit.ly/songmark-logic

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RAW FEEDBACK &DATAGoogle Spreadsheet: http://bit.ly/songmark-data

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LIVE DEMO SCREENSHOTS 1

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LIVE DEMO SCREENSHOTS 2

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LIVE DEMO SCREENSHOTS 3

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LIVE DEMO SCREENSHOTS 4

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