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

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