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Work˜ow Learning Diagnostic Processstorypikes.com/workshops/PDFs/Workflow-Learning-Overview-Map.pdfWork˜ow Diagnostic Process Work˜ow Learning Diagnostic Process Work˜ow Learning

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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