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

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