Teams DAU/MAU Stickiness

SQL practice question · Hard · Analytics · Microsoft

A user is active on a day if they have at least one row that day with `minutes` > 0 (NULL or 0 minutes is not activity; duplicate rows count once). For each month: `avg_dau` = average number of active users per day, taken over the days in that month that had at least one active user (ROUND 2); `mau` = distinct active users in the month; `stickiness_pct` = ROUND(100.0 * avg_dau / mau, 1) using the unrounded avg_dau. Return `month` ('YYYY-MM'), `avg_dau`, `mau`, `stickiness_pct`. Order by `month`.

Table: teams_activity

Schema of teams_activity
ColumnType
user_idINTEGER
activity_dateDATE
minutesINTEGER
Sample rows of teams_activity
user_idactivity_dateminutes
12026-10-0130
22026-10-0115
32026-10-015
12026-10-0110
12026-10-0220
22026-10-0225
12026-10-0345
22026-11-0110
Expected output on the sample data
monthavg_daumaustickiness_pct
2026-102366.7
2026-111.5275

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