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

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