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Work�ow Diagnostic Process
Work�ow Learning Diagnostic Process
Work�ow Learning Goals:- Trusted networks- Deep learning- Reliable answers
SightSmellTasteTouch
ProcessesProceduresPoliciesSystemsMethodsTechnologiesTools
LogsRecordsDocuments
ShiftsTurnovers
TargetsDeviationsReportsMethods Stoppages
BottlenecksRejectsLow yieldsSlowErrorsIne�cienciesNon-compliance
Data analysis
QuantityQualityTimeSpeedCostsPro�tsRevenues
Who has answers?Check it out?Will you cover me?Did you check?Does it work?What if this happens?Have you tried?Is the problem �xed, solved, or improved?
What to �x, solve or improve?What do you observe?What happens if?Can you �gure this out?Let’s share work.Show me your work.How did you do it?Where to �nd answers?
IntuitionGut-feelHunchHeuristicsSimple rules
FishbonePros / ConsFramesPareto Law5 WhysData ImpactsMappingArgumentsRe�ectionsISO, IEEE
ChecklistTroubleshootingAlign metricsYields/returnsWorkaroundPrioritizingProcess of eliminationProcess improvementDesign Thinking
Key answers insightsReliableProbabilitiesHigh potentialsDeep Smarts
Big picture thinkingLearn from peersDeep LearningReliable solutions answersDeal with unkown unexpectedScale capabilities
Ray Jimenez, Ph.D.Work�ow Learning (c) 2019 Version 01 May 22, 2019
Vignettes Learning, Inc.
TestingTrials
History
LogsRecordsJournalsDataReportsHistoryUse cases
BatchesMethodsToolsTechnologiesModelsPrototypesPatterns/optionsStandardsDocumentationHypothesiaSolutions
eLearning, LTCerti�cationsAR, VR, A.I, ScenariosOJT
Embedded solutionsData services
TipsGuidesFAQsChatbotsCurated contentPerfomance support
AnswersInstructions
ExperienceSharing
“Ben”NeighborBossExpertSupplier
Tandem rolesTrusted networksLeaderTeam
Peer-to-peer mentoringCoachingStand-inWork toos
Culture
Sharing technologies
Patterns OutcomesSolutionsAnalysisInstantThinking
ResolvedTest againAlternativesConsistency
Outcomes
ImpactsBene�ts
Observations
Conversations - “Let’s �gure this out”
Insertionpoints
- Direct impacts in work- Scaling capacities