Someonehogs 80%of theirslot.Someonedramaticallysighs aboutfunding.Someone clapstoo early or tooenthusiastically.“Machinelearning”said at least5 times inone hour.A joke aboutAI thatmakes youroll youreyes.“We’llneedmoredata.”Acomparisonchart withway toomany colors.Someone triesto sneak inextra acronymswithout definingthem.A slide hasComic Sansor Papyruson itSomeone says“Let’s circleback to thatlater” (andnever does).A heateddebate oversampleprioritization.Someoneadmits theydon’t actuallyunderstandthe model.A colleaguetries torecruit youinto a sideprojectYouoverheargossip aboutanothersite/project.Someone mentions“cross‑collaboration”like it’s a magic spell.Buffet foodthat’s gonein 5 minutesflat.A mic failsor someoneforgets tounmute.“We’rerunning alittle behindschedule…”A graph sodense itlooks likemodern art.Someonepretendsthey’re notchecking theirphone underthe table.Awkwardsilenceafter “Anyquestions?”Acoffee/teaspillmid‑break.Someonesays “we’llkeep thisbrief” (theydon’t).A slide with thewords “digitaltwin” and noone explains itclearly.Someonehogs 80%of theirslot.Someonedramaticallysighs aboutfunding.Someone clapstoo early or tooenthusiastically.“Machinelearning”said at least5 times inone hour.A joke aboutAI thatmakes youroll youreyes.“We’llneedmoredata.”Acomparisonchart withway toomany colors.Someone triesto sneak inextra acronymswithout definingthem.A slide hasComic Sansor Papyruson itSomeone says“Let’s circleback to thatlater” (andnever does).A heateddebate oversampleprioritization.Someoneadmits theydon’t actuallyunderstandthe model.A colleaguetries torecruit youinto a sideprojectYouoverheargossip aboutanothersite/project.Someone mentions“cross‑collaboration”like it’s a magic spell.Buffet foodthat’s gonein 5 minutesflat.A mic failsor someoneforgets tounmute.“We’rerunning alittle behindschedule…”A graph sodense itlooks likemodern art.Someonepretendsthey’re notchecking theirphone underthe table.Awkwardsilenceafter “Anyquestions?”Acoffee/teaspillmid‑break.Someonesays “we’llkeep thisbrief” (theydon’t).A slide with thewords “digitaltwin” and noone explains itclearly.

Work Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. 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.


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  1. Someone hogs 80% of their slot.
  2. Someone dramatically sighs about funding.
  3. Someone claps too early or too enthusiastically.
  4. “Machine learning” said at least 5 times in one hour.
  5. A joke about AI that makes you roll your eyes.
  6. “We’ll need more data.”
  7. A comparison chart with way too many colors.
  8. Someone tries to sneak in extra acronyms without defining them.
  9. A slide has Comic Sans or Papyrus on it
  10. Someone says “Let’s circle back to that later” (and never does).
  11. A heated debate over sample prioritization.
  12. Someone admits they don’t actually understand the model.
  13. A colleague tries to recruit you into a side project
  14. You overhear gossip about another site/project.
  15. Someone mentions “cross‑collaboration” like it’s a magic spell.
  16. Buffet food that’s gone in 5 minutes flat.
  17. A mic fails or someone forgets to unmute.
  18. “We’re running a little behind schedule…”
  19. A graph so dense it looks like modern art.
  20. Someone pretends they’re not checking their phone under the table.
  21. Awkward silence after “Any questions?”
  22. A coffee/tea spill mid‑break.
  23. Someone says “we’ll keep this brief” (they don’t).
  24. A slide with the words “digital twin” and no one explains it clearly.