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

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