Doesn’t likeoffice food ________Hascompletelychangedcareer paths________Uses acustomkeyboard/mouse________Has stampeda diff withoutreviewing unittests__________Has been inthe officeafter 8pm orthe weekend________ Can’t workwith musicon________Used the “👍”emoji toacknowledgesomething youdidn’t read fully____________Has visitedaninternationaluber office________ Uses lightmode whencoding________ Has seenDara inperson________Has stamped/reviewedcode laterthan 2am_________Has causeda food/drinkspill in theoffice________Forgotlaptop andcame to theoffice________Cancorrectly listthe ids of 10cities________ Pushed to prodand immediatelystarted praying ____________ Has hadleftover Ubercredits at theend of a month___________Hoggedshadow formore than24 hours________Sent a Slackmessage, thenimmediatelyfollowed up with“nvm, figured itout”____________ Commute islonger thanan hour________Has blown upuMonitor logsbecause theyforgot to createthe flipr____________ Has a relativewho alsoworks in SWE________Has moretabs openthan you cancount________ Has internedat Uber ________ Has been to3 or moreUber offices________ Pulled allnighter foroncall________ Doesn’t likeoffice food ________Hascompletelychangedcareer paths________Uses acustomkeyboard/mouse________Has stampeda diff withoutreviewing unittests__________Has been inthe officeafter 8pm orthe weekend________ Can’t workwith musicon________Used the “👍”emoji toacknowledgesomething youdidn’t read fully____________Has visitedaninternationaluber office________ Uses lightmode whencoding________ Has seenDara inperson________Has stamped/reviewedcode laterthan 2am_________Has causeda food/drinkspill in theoffice________Forgotlaptop andcame to theoffice________Cancorrectly listthe ids of 10cities________ Pushed to prodand immediatelystarted praying ____________ Has hadleftover Ubercredits at theend of a month___________Hoggedshadow formore than24 hours________Sent a Slackmessage, thenimmediatelyfollowed up with“nvm, figured itout”____________ Commute islonger thanan hour________Has blown upuMonitor logsbecause theyforgot to createthe flipr____________ Has a relativewho alsoworks in SWE________Has moretabs openthan you cancount________ Has internedat Uber ________ Has been to3 or moreUber offices________ Pulled allnighter foroncall________

Matching Segmentation + Platform Happy Hour - Call List

(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
I
2
B
3
B
4
B
5
B
6
O
7
B
8
G
9
I
10
I
11
G
12
G
13
N
14
O
15
O
16
O
17
N
18
I
19
N
20
G
21
G
22
O
23
N
24
N
25
I
  1. I- Doesn’t like office food ________
  2. B-Has completely changed career paths ________
  3. B-Uses a custom keyboard/ mouse ________
  4. B-Has stamped a diff without reviewing unit tests __________
  5. B-Has been in the office after 8pm or the weekend ________
  6. O- Can’t work with music on ________
  7. B-Used the “👍” emoji to acknowledge something you didn’t read fully ____________
  8. G-Has visited an international uber office ________
  9. I- Uses light mode when coding ________
  10. I- Has seen Dara in person ________
  11. G-Has stamped/ reviewed code later than 2am _________
  12. G-Has caused a food/drink spill in the office ________
  13. N-Forgot laptop and came to the office ________
  14. O-Can correctly list the ids of 10 cities ________
  15. O- Pushed to prod and immediately started praying ____________
  16. O- Has had leftover Uber credits at the end of a month ___________
  17. N-Hogged shadow for more than 24 hours ________
  18. I-Sent a Slack message, then immediately followed up with “nvm, figured it out” ____________
  19. N- Commute is longer than an hour ________
  20. G-Has blown up uMonitor logs because they forgot to create the flipr ____________
  21. G- Has a relative who also works in SWE ________
  22. O-Has more tabs open than you can count ________
  23. N- Has interned at Uber ________
  24. N- Has been to 3 or more Uber offices ________
  25. I- Pulled all nighter for oncall ________