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

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