"The data weneeded wascompletelymissing orunusable.""A simpleExcel rulewould havedone thejob.""The AIconfidentlygave acompletelywrong answer.""The onlyperson whounderstoodthe code leftthe company.""We had toscrap it andstartcompletelyover.""We realizedour coreunderlyingassumptionwas wrong.""We madethe classicmistake ofdeploying ona Friday.""They justwent back todoing it theold manualway.""We spent80% of ourtime justcleaning thedata.""The end-usersdidn't trustthe AI.""The proof-of-conceptworked, butit wouldn'tscale.""Unexpectedcloud orcomputecosts.""The livedemospectacularlyfailed.""We over-engineeredthesolution.""Legal / DataPrivacy(GDPR)blocked it.""Stakeholdersexpected100%accuracy.""It workedperfectly onmy localmachine.""The pipelinefailed silentlyand no onenoticed.""The businesschanged therequirementshalfwaythrough.""We didn'tinvolve theactual usersearlyenough.""Someonehardcodedsomething theyreally shouldn'thave.""It broke assoon as weput it intoproduction.""We tried toboil the oceaninstead ofstartingsmall.""Weunderestimatedhow long itwould actuallytake.""The data weneeded wascompletelymissing orunusable.""A simpleExcel rulewould havedone thejob.""The AIconfidentlygave acompletelywrong answer.""The onlyperson whounderstoodthe code leftthe company.""We had toscrap it andstartcompletelyover.""We realizedour coreunderlyingassumptionwas wrong.""We madethe classicmistake ofdeploying ona Friday.""They justwent back todoing it theold manualway.""We spent80% of ourtime justcleaning thedata.""The end-usersdidn't trustthe AI.""The proof-of-conceptworked, butit wouldn'tscale.""Unexpectedcloud orcomputecosts.""The livedemospectacularlyfailed.""We over-engineeredthesolution.""Legal / DataPrivacy(GDPR)blocked it.""Stakeholdersexpected100%accuracy.""It workedperfectly onmy localmachine.""The pipelinefailed silentlyand no onenoticed.""The businesschanged therequirementshalfwaythrough.""We didn'tinvolve theactual usersearlyenough.""Someonehardcodedsomething theyreally shouldn'thave.""It broke assoon as weput it intoproduction.""We tried toboil the oceaninstead ofstartingsmall.""Weunderestimatedhow long itwould actuallytake."

Oops Night - 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. "The data we needed was completely missing or unusable."
  2. "A simple Excel rule would have done the job."
  3. "The AI confidently gave a completely wrong answer."
  4. "The only person who understood the code left the company."
  5. "We had to scrap it and start completely over."
  6. "We realized our core underlying assumption was wrong."
  7. "We made the classic mistake of deploying on a Friday."
  8. "They just went back to doing it the old manual way."
  9. "We spent 80% of our time just cleaning the data."
  10. "The end-users didn't trust the AI."
  11. "The proof-of-concept worked, but it wouldn't scale."
  12. "Unexpected cloud or compute costs."
  13. "The live demo spectacularly failed."
  14. "We over-engineered the solution."
  15. "Legal / Data Privacy (GDPR) blocked it."
  16. "Stakeholders expected 100% accuracy."
  17. "It worked perfectly on my local machine."
  18. "The pipeline failed silently and no one noticed."
  19. "The business changed the requirements halfway through."
  20. "We didn't involve the actual users early enough."
  21. "Someone hardcoded something they really shouldn't have."
  22. "It broke as soon as we put it into production."
  23. "We tried to boil the ocean instead of starting small."
  24. "We underestimated how long it would actually take."