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

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