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

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