MAYA

[xoxoxoBruce]

In an article about MAYA (Most Advanced Yet Acceptable) developed by Raymond Loewy, I was surprised by the following.

Consider the experience of Matt Ogle, who, for more than a decade, was obsessed with designing the perfect music-recommendation engine. His philosophy of music was that most people enjoy new songs, but they don’t enjoy the effort it takes to find them. When he joined Spotify, the music-streaming company, he helped build a product called Discover Weekly, a personalized list of 30 songs delivered every Monday to tens of million of users.

The original version of Discover Weekly was supposed to include only songs that users had never listened to before. But in its first internal test at Spotify, a bug in the algorithm let through songs that users had already heard. “Everyone reported it as a bug, and we fixed it so that every single song was totally new,” Ogle told me.

But after Ogle’s team fixed the bug, engagement with the playlist actually fell. “It turns out having a bit of familiarity bred trust, especially for first-time users,” he said. “If we make a new playlist for you and there’s not a single thing for you to hook onto or recognize—to go, ‘Oh yeah, that’s a good call!’—it’s completely intimidating and people don’t engage.” It turned out that the original bug was an essential feature: Discover Weekly was a more appealing product when it had even one familiar band or song.