MarieSeshatLandry
1ExecutiveSummary
ElevatorPitch
TheStrategicAnalysisFramework(WTF?)isacomprehensivemethodologydesignedtoempower analystsanddecision-makerstonavigatecomplexchallengeswithgreaterclarity,rigor,andforesight.Byintegratingdiverseintelligencedisciplines,structuredanalysistechniques,anditerative refinement,thisframeworktransformsrawdataintoactionableinsights,enablingbetter-informed andmorestrategicdecisions.WTF?providesastructured,repeatable,anddefensibleprocessfor analyzinganyproblemtocreateactionableinsights.
TargetAudience
WTF?V.5.1isideallysuitedforintelligenceanalysts,businessstrategists,marketresearchers,policyadvisors,academics,andstudentsseekingapowerfulandunifiedapproachtocriticalthinking andstrategicdecision-making.Nopriordeepexpertiseisrequired,butafoundationalunderstandingofresearchprincipleshelps.
ProblemStatement
Intoday’svolatileandinformation-saturatedworld,organizationsandindividualsfaceanunprecedentedlevelofcomplexity.Traditionaldecision-makingapproachesoftenfallshort,leadingto missedopportunities,poorlymanagedrisks,andineffectivestrategies.Thisisduetoseveralchallengesincludingnarrowsourcesofintelligence,siloeddisciplines,andlimitedcriticalandholistic synthesisthataccountsforriskandthelongterm.Theframeworkaimstopreventthesechallenges.
CompetitiveAdvantage
Unliketraditionalmethodsthatemphasizespecificdisciplinesinisolation,WTF?V.5.1leverages anovel,scientificmethod-drivenapproachtostrategicanalysis.Byexplicitlyintegratingkey intelligencedisciplines,over50validatedcriticalthinkingmethodologies,andafocusonpractical, data-driveninsights,WTF?helpsanalystsuncoveralevelofnuancedunderstandingothersare blindto.
2UnderstandingtheFramework(A”QuickStart”Guide)
WhatisWTF?V.5.1?
TheStrategicAnalysisFramework(formerlycode-named“WTF?”)isacomprehensive,multifacetedmethodologydesignedtoaddresscomplexproblemsandsupportstrategicdecision-making acrossvariousdomains.Ituniquelyintegratesdiverseintelligencedisciplines(ArtificialIntelligence, BusinessIntelligence,Open-SourceIntelligence,andHumanIntelligence)withastructuredapplicationofover50validatedcriticalthinkingmethods,allguidedbytheprinciplesoftheScientific Method.Thisiterativeprocesstransformsrawdataintoactionableinsights,empoweringusersto navigateuncertainty,mitigaterisks,andachievedesiredoutcomes.
HowItWorks
Theframeworkisstructuredasa7-stepiterativeprocess:
1. Observation –Definetheproblem.
2. Question –Createresearchquestions.
3. Hypothesis –Predicttheoutcome.
4. Experiment –Gatherandanalyzedata.
5. Analysis –Run50+criticalthinkingmethods.
6. Conclusion –Buildthereport.
7. Reiteration –Constantlyevolve.
BenefitsSummary
UsingtheStrategicAnalysisFrameworkprovidesaclear,structured,andrigorousapproachto:
• EnhancedDecision-Making: Providesamorecompleteunderstandingoftheproblem space,leadingtobetter-informeddecisions.
• ReducedRisk: Systematicallyidentifiesandassessespotentialrisksandthreats,enabling proactivemitigationstrategies.
• ComprehensiveAnalysis: Integratesdiversedatasourcesandperspectivestoavoidblind spotsandbiases.
• ImprovedStrategicForesight: Usestrendanalysis,scenarioplanning,andpredictive modelingtoanticipatefuturechallengesandopportunities.
• EnhancedCreativity: Leveragescreativeproblem-solvingtechniquestodevelopinnovative solutions.
• EfficientCommunication: Providesastructuredframeworkforcommunicatingcomplex findingstostakeholders.
GlossaryofTerms
OpenSourceIntelligence
OSINT(OpenSourceIntelligence) Informationcollectedfrompubliclyavailablesources.
HUMINT(HumanIntelligence) Informationgatheredthroughinterpersonalcontact,suchas interviewsanddiscussions.
BI(BusinessIntelligence) Theprocessofanalyzingbusinessdatatoidentifypatterns,trends, andinsights.
AI(ArtificialIntelligence) Thetheoryanddevelopmentofcomputersystemsabletoperform tasksthatnormallyrequirehumanintelligence.
ScientificMethod Anobjectiveandsystematicapproachtogainingknowledgethroughobservation,experimentation,andtestingofhypotheses.
IterativeProcess Aprocessthatrepeatsaseriesofstepsuntiladesiredoutcomeisachieved.
3TheWTF?Framework:AStep-by-StepGuide
Step1:Observation–DefiningtheProblem&Scope(”WTFisX?”)
Goal: Thisfirstcrucialstepsetsthestagefortheentireanalysis.Acleardefinitionprevents wastedtimeandfocusestheanalyticalefforts.
Objective: Clearlyandconciselydefinethecoreproblem,issue,orphenomenon(referredto as“X”)thatwillbethefocusoftheinvestigation.Thisestablishesthescopeandboundariesof theanalysis.
ActionSteps:
1. IdentifytheCoreIssue: Determinethecentralchallenge,event,orquestionthatneedsto beinvestigated. Example: “ThedeclineinmarketshareforproductY.”
2. Utilizethe5W+1HFramework: Systematicallyexplorethecoreissueusingthe5Ws and1Htogatherpreliminaryobservations.
• What? WhatisX?(Definetheproblemandscopetothemostconciseform.)
– ExampleQuestions:Whatarethekeycharacteristicsoftheproblem?Whatareits components?Whatmetricsarecurrentlyused?Whatisexcludedtokeepthescope tight?
• Who? Identifykeyentitiesandstakeholders.
– ExampleQuestions:Whoisdirectlyaffected?Whoisindirectlyimpacted?Who arethedecision-makers?Whoarerelevantexperts?
• Where? Determinethegeographicalscope.
– ExampleQuestions:Whereistheproblemoccurring?Whatregionsareaffected? Aretheresimilarissuesinotherlocations?
• When? Establishthetimeline.
– ExampleQuestions:Whendidtheproblembegin?Aretherehistoricaleventsor datestoconsider?Whatistheanalysistimeframe?
• Why? Exploremotivationsandimpact.
– ExampleQuestions:Whyistheproblemoccurring?Whataretheunderlying causes?Whatisitsshort-termandlong-termimpact?
• How? Outlinemechanisms,methods,oroperations.
– ExampleQuestions:Howdoestheproblemmanifest?Howisitbeingaddressed(if atall)?Whatmethodsortacticsareinuse?
3. TemplateResource: [DownloadableTemplatefor5W+1HAnalysis]
Output: Aconciseandclearlydefined ProblemDefinitionStatement thatencapsulatesthe coreissueanditsscope. Example: “ProductYmarketsharehasdeclinedby15%inNorthAmerica overthepastyear,impactingoverallprofitabilityandrequiringanunderstandingofcompetitive pressuresandchangingcustomerpreferences.”
Step2:Question–DefiningtheKeyResearchQuestions
Goal: Movefromageneralunderstandingoftheproblemtospecific,testablequestionsthatwill guidetheinvestigation.
Objective: Formulateasetofclear,structuredresearchquestionsthataddressthecoreissue anditsvariousdimensions.Thesequestionsshouldbeanswerablethroughresearchandanalysis.
ActionSteps:
1. BreakDownSub-QuestionsforEach5W+1HComponent: ForeachelementidentifiedinStep1(What,Who,Where,When,Why,How),generatemorespecificsub-questions toguidetheresearchprocess.
• Example(Basedonthe”ProductYMarketShareDecline”example):
–What: WhatarethespecificfeaturesandbenefitsofProductYcomparedtoits competitors?WhatarethecurrentmarketingstrategiesforProductY?
–Who: WhoarethekeycustomersegmentsforProductY?Arethereemerging customersegments?Whoarethemaincompetitors,andwhataretheirstrengths andweaknesses?
–Where: WhereareProductYsalesdecliningmostrapidly?Wherearecompetitors gainingmarketshare?
–When: Whendidthemarketsharedeclinebegin?Arethereseasonaltrendsin ProductYsales?
–Why: WhyarecustomerschoosingcompetitorsoverProductY?Whymightcurrent distributionandmarketingstrategiesbefailing?
–How: Howarecompetitorsmarketingtheirproducts?Howarecustomersusing ProductYandhowhasthisusageevolvedovertime?
2. FrameHypothesis-DrivenQuestions: Developquestionsthatcanbetestedthroughresearchandanalysis,designedtochallengeorrefineinitialassumptions.Ensurethesequestions arespecific,measurable,achievable,relevant,andtime-bound(SMART).
• ExampleQuestions:
–Data-Driven: WhatpatternsoranomaliesexistinthesalesdataforProductY? Isthereacorrelationbetweenmarketingspendandsalesdecline?
–Comparative: HowdoesProductYcomparetoitscompetitorsintermsofprice, features,andcustomerreviews?Howdoesitsmarketingstrategydiffer?
–Risk/Opportunity: Whatrisksdoesthemarketsharedeclineposetotheorganization?Whatopportunitiesexisttoregainmarketshareorenternewmarkets?
Output: Awell-definedlistofhigh-priority,researchablequestions,organizedandcategorized (potentiallyalignedwiththe5W+1Hframework)toguidethesubsequentinvestigation.
Step3:Hypothesis–PredictiveModel&InitialAssumptions
Goal: Developtestableexplanationsandmodelsbasedoninitialknowledge,settingacleardirectionforresearchandanalysis.
Objective: Developoneormoreworkinghypothesesthatofferpotentialexplanationsforthe coreissue(”X”)andcanbetestedthroughsubsequentresearchandanalysis.Thesehypotheses
shouldbeinformedbyinitialobservationsandincludepredictivestatementsoutliningexpected outcomes.
ActionSteps:
1. FormulateHypotheses: DeveloppotentialexplanationsaboutX’snature,function,or impactbasedonpreliminaryobservations.Eachhypothesisshouldbeclearlystatedand falsifiable.
• Example(Basedon”ProductYMarketShareDecline”):
– Hypothesis1:“Thedeclineinmarketshareisprimarilyduetoincreasedcompetition fromanew,lower-pricedcompetitorofferingsimilarfeatures.”
–
Hypothesis2:“ChangesincustomerpreferencestowardalternativeproductcategoriesaredrivingthedeclineinProductYsales.”
– Hypothesis3:“IneffectivemarketingandadvertisingstrategiesarefailingtocommunicateProductY’svaluepropositioneffectively.”
2. PredictOutcomes: Basedoneachhypothesis,predicttheexpectedoutcomesifthehypothesisiscorrect.Usehistoricalpatterns,businessintelligence,andopen-sourceinformation tosupportpredictions.
• Examples:
– IfHypothesis1istrue:Expecttoseeasignificantincreaseinsalesforthenew competitor,withcustomerreviewshighlightingapriceadvantage.
–
IfHypothesis2istrue:Marketresearchshouldindicateatrendtowardalternative productcategories,renderingProductY’sfeatureslessrelevant.
–
IfHypothesis3istrue:DatamayshowlowerengagementratesandnegativecustomersentimenttowardsProductY’smarketingefforts.
3. IdentifyVariablesandInfluencingFactors: Determinekeyvariablesthatcouldaffect theoutcomeofyouranalysisandthevalidityofyourhypotheses,suchasmarketsize,competitorpricing,customerdemographics,andeconomicconditions.
Output: Astructuredhypothesis(orsetofhypotheses)thatincludes:
• Aclearstatementoftheproposedexplanation.
• Predictivestatementsoutliningexpectedoutcomes.
• Identificationofkeyvariablesandinfluencingfactors.
• Adescriptionofthemethodologyrequiredtovalidateorinvalidatethehypothesis.
Step4:Experiment–Research&DataCollection(Multi-Source IntelligenceGathering)
Goal: Obtainrelevant,comprehensive,andreliabledatafrommultiplesourcestorigorouslytest thehypothesesdevelopedinStep3.Thisdataservesastheevidentiaryfoundationfortheanalysis.
Objective: Systematicallygatherinformationfromavarietyofsources,employingbothautomatedandmanualtechniques,tobuildacomprehensivedatasetthatsupportstheanalysisof”X” andenablesthetestingofhypotheses.
ActionSteps:
1. AI-PoweredSearch&Research: UtilizeAI-driventoolstoautomatethesearchfor relevantinformationandidentifykeytrends.
• AutomatedSearches: Employsearchengines(Google,Bing),specializeddatabases, andAI-poweredresearchtools(e.g.,Consensus,Elicit,Perplexity.AI)toidentifyrelevant articles,reports,anddatasets.UsespecificsearchphrasesfromStep2tooptimize results.
• SemanticAnalysis: UseNaturalLanguageProcessing(NLP)andothersemantic analysistechniquestoidentifypatterns,themes,andrelationshipswithinthedata.Tools suchasLexalyticsorMonkeyLearncanassistwiththisanalysis.
2. BusinessIntelligence(BI)Research: Collectandanalyzeinternalandexternalbusiness datatounderstandmarkettrends,competitivelandscape,andindustrydynamics.
• MarketTrends: Researchmarketreports(e.g.,fromGartner,Forrester,McKinsey) toassessmarketsize,growthrates,andtechnologicaldisruptors.
• FinancialData: Analyzecompanyfinancialstatements,economicindicators,andindustryforecaststogaugethefinancialperformanceofkeyplayers.
• IndustryImpact: Identifykeycompetitors,theirbusinessmodels,andtheimpactof theiractionsontheindustry.
3. OpenSourceIntelligence(OSINT)Collection: Gatherinformationfrompubliclyavailablesources,includingnewsmedia,governmentdatabases,socialmedia,andacademicpublications.
• NewsSources: Monitorarticles,pressreleases,andblogpostsforrelevantevents, trends,andopinions.
• GovernmentDatabases: Utilizeofficialdatabases(e.g.,censusdata,regulatoryfilings,patentdatabases)togatherfactualinformationandpolicychanges.
• SocialMedia: Analyzesocialmediatrendsandsentimentrelatedto”X”usingtools likeBrandwatchorMention.
• AcademicResearch: Consultacademicjournals,researchpapers,andconferenceproceedingsforin-depthanalysisandexpertopinions.
4. HumanIntelligence(HUMINT)Interviews: Gatherfirsthandinsightsfromexperts, industryleaders,affectedstakeholders,andotherknowledgeableindividuals.
• StructuredInterviews: Conductinterviewswithexperts,customers,competitors, andotherstakeholderstogainuniqueperspectives.
• ExpertOpinions: Consultwithindustryanalysts,consultants,andacademicstovalidatefindingsfromothersources.
Output: Acomprehensive,well-organizeddatasetcontaining:
• Acuratedcollectionofrelevantarticles,reports,anddatasets.
• Summariesofkeyfindingsfrombusinessintelligenceresearch.
• Transcriptsornotesfromexpertinterviews.
• Datavisualizations(charts,graphs,maps)illustratingkeytrendsandrelationships.
Note: Utilizetoolslike“GoogleDataExplorer”asatest-bedtoensuredataconsistencyand integrity.
FullListof50CriticalThinkingMethods
Belowisacomprehensivelistof50criticalthinkingmethods,organizedintofivecategoriesfor clarityandeaseofselection.
1. DeductiveReasoning
Application: Validateknownprinciplestoeliminateimprobablehypotheses. Limitations: Onlyconfirmswhatisalreadyestablished.MoreInfo
2. InductiveReasoning
Application: Generategeneralizationsfromspecificobservations. Limitations: Riskofovergeneralization.MoreInfo
3. AbductiveReasoning
Application: Developthemostplausibleexplanationbasedonincompletedata. Limitations: Maynotalwaysyieldthecorrectanswer.MoreInfo
4. SyllogisticReasoning
Application: Uselogicalstructures(syllogisms)toderiveconclusions. Limitations: Reliesonthevalidityofthepremises.MoreInfo
5. BayesianAnalysis
Application: Updateprobabilitiesasnewdatabecomesavailable. Limitations: Requiresaccuratepriorprobabilities.MoreInfo
6. FalsificationPrinciple
Application: Attempttodisprovehypothesestotesttheirrobustness. Limitations: Difficulttoconclusivelyproveanegative.MoreInfo
7. CounterfactualReasoning
Application: Explorealternativeoutcomesbyconsidering“whatif”scenarios. Limitations: Canbehighlyspeculative.MoreInfo
8. ComparativeAnalysis
Application: Comparedifferentscenarios,hypotheses,ordatasetstoidentifydifferencesand similarities.
Limitations: Requirescomparablemetricsandqualitydata.MoreInfo
9. LogicalFallacyIdentification
Application: Detecterrorsinreasoningtoimproveargumentquality. Limitations: Maynotcaptureallnuancedfallacies.MoreInfo
10. CriticalInquiry
Application: Systematicallyquestionassumptionsandexplorealternativeperspectives.
Limitations: Canleadtoanalysisparalysisifover-applied.MoreInfo
11. OSINTAnalysis
Application: Aggregateandanalyzepubliclyavailabledata. Limitations: Informationcanbebiasedoroutdated.MoreInfo
12. HUMINTCollection
Application: Gatherinsightsthroughinterviewsandinterpersonalinteractions. Limitations: Subjecttohumanerrorandbias.MoreInfo
13. SIGINTAnalysis
Application: Analyzesignalsandcommunicationsdataforintelligenceinsights. Limitations: Requiresspecializedtoolsandexpertise.MoreInfo
14. GeospatialIntelligence(GEOINT)
Application: Usegeographicinformationsystemstoanalyzespatialdata. Limitations: Dependentonhigh-qualityspatialdata.MoreInfo
15. SocialNetworkAnalysis
Application: Examinerelationshipsandinfluencepatternswithinsocialnetworks. Limitations: Mayoversimplifycomplexsocialstructures.MoreInfo
16. DataTriangulation
Application: Validatefindingsbycross-verifyingdatafrommultiplesources. Limitations: Time-consumingandmaystillleavegaps.MoreInfo
17. ContentAnalysis
Application: Systematicallyanalyzetext,images,ormediacontentforrecurringthemes. Limitations: Canbesubjectiveininterpretation.MoreInfo
18. DiscourseAnalysis
Application: Examinelanguageandcommunicationpatternstouncoverunderlyingmeanings. Limitations: Highlyqualitativeandinterpretive.MoreInfo
19. InterviewAnalysis
Application: Analyzequalitativedatagatheredfromstructuredorsemi-structuredinterviews. Limitations: Maybeinfluencedbyinterviewerbias.MoreInfo
20. ForensicAnalysis
Application: Investigatedataandevidencetoreconstructeventsorunderstandanomalies. Limitations: Requiresspecializedexpertiseandislimitedbyavailabledata.MoreInfo
21. SWOTAnalysis
Application: Identifystrengths,weaknesses,opportunities,andthreats. Limitations: Canbeoverlysimplisticandsubjective.MoreInfo
22. PESTELAnalysis
Application: Examineexternalfactors—Political,Economic,Social,Technological,Environmental,andLegal.
Limitations: Canbebroadandunfocusedifnotproperlyscoped.MoreInfo
23. ValueChainAnalysis
Application: Analyzeeachstageofproductiontoidentifyvaluecreationandinefficiencies. Limitations: Requirescomprehensiveandaccuratedata.MoreInfo
24. MarketSegmentationAnalysis
Application: Divideamarketintodistinctgroupsofpotentialcustomers. Limitations: Maynotcaptureoverlappingorevolvingsegments.MoreInfo
25. CompetitiveBenchmarking
Application: Compareabusiness’sperformanceagainstitscompetitors. Limitations: Reliesontheavailabilityofcomparabledata.MoreInfo
26. FinancialRatioAnalysis
Application: Evaluatefinancialperformanceusingkeyfinancialratios. Limitations: Canbeaffectedbydifferingaccountingpractices.MoreInfo
27. TrendAnalysis
Application: Identifypatternsortrendsindataovertime. Limitations: Pasttrendsmaynotalwayspredictfuturebehavior.MoreInfo
28. ScenarioPlanning
Application: Developandassesspossiblefuturescenariostoguidestrategicdecisions. Limitations: Highlyspeculativeandreliantonassumptions.MoreInfo
29. Porter’sFiveForces
Application: Analyzethecompetitiveforceswithinanindustry. Limitations: Mayoversimplifycomplexmarketdynamics.MoreInfo
30. BusinessModelCanvasAnalysis
Application: Visualizeandevaluatethecomponentsofabusinessmodel. Limitations: Canbetoostaticfordynamicbusinessenvironments.MoreInfo
31. MonteCarloSimulations
Application: Modelprobabilisticoutcomestoassessrisksunderuncertainty. Limitations: Complextoimplementandinterpret.MoreInfo
32. DecisionTreeAnalysis
Application: Mapdecisionsandtheirpossibleconsequencesusingatree-likemodel. Limitations: Canbecomeunwieldywithnumerousbranches.MoreInfo
33. RiskMatrix&MitigationPlanning
Application: Evaluaterisksbyplottingtheirseverityandlikelihood,thenplanmitigations. Limitations: Subjectiveriskassessmentsmayskewresults.MoreInfo
34. Cost-BenefitAnalysis
Application: Comparethecostsandbenefitsofvariousoptionstosupportdecision-making. Limitations: Intangiblefactorscanbedifficulttoquantify.MoreInfo
35. SensitivityAnalysis
Application: Determinehowvariationsininputaffectoutcomes. Limitations: Highlydependentonthechosenvariablesandassumptions.MoreInfo
36. ParetoAnalysis(80/20Rule)
Application: Identifythemostsignificantfactorscontributingtoaproblem. Limitations: Mayoversimplifycomplexissues.MoreInfo
37. RootCauseAnalysis(5Whys)
Application: Drilldowntotheunderlyingcauseofaproblembyrepeatedlyasking“why”. Limitations: Canbebiasedbyinitialassumptions.MoreInfo
38. FailureModeandEffectsAnalysis(FMEA)
Application: Identifypotentialfailurepointsandassesstheirimpact.
Limitations: Resource-intensiveandmaynotcoverallpossiblescenarios.MoreInfo
39. DelphiMethod
Application: Gatheriterativeexpertopinionstoreachaconsensus.
Limitations: Time-consumingandmaybeinfluencedbydominantvoices.MoreInfo
40. SWOT-Revisited
Application: IntegratetraditionalSWOTanalysiswithriskassessmentandstrategicplanning.
Limitations: Canbecomeoverlycomplexwithoutclearguidelines.MoreInfo
41. LateralThinking
Application: Approachproblemsfromunconventionalanglestogeneratenewideas.
Limitations: Mayleadtoimpracticalorunrealisticsolutions.MoreInfo
42. TRIZ(TheoryofInventiveProblemSolving)
Application: Applysystematicinnovationprinciplesderivedfromengineeringandtechnology. Limitations: Requirestrainingandfamiliaritywithitsmethodology.MoreInfo
43. BrainstormingTechniques
Application: Generateawiderangeofideasquicklythroughfreeassociation.
Limitations: Riskofgroupthinkandlackoffocus.MoreInfo
44. MindMapping
Application: Visualizeideasandtheirinterconnectionsinadiagrammaticformat. Limitations: Canbecomeclutteredforcomplextopics.MoreInfo
45. DesignThinking
Application: Usehuman-centereddesigntosolveproblemsandinnovate.
Limitations: Time-consumingandrequiresiterativeprototyping.MoreInfo
46. SCAMPERTechnique
Application: Stimulatecreativitybypromptingchanges:Substitute,Combine,Adapt,Modify,Puttoanotheruse,Eliminate,andReverse.
Limitations: Maygenerateideasthatarenotfeasible.MoreInfo
47. MorphologicalAnalysis
Application: Systematicallyexploreallpossiblesolutionsbyvaryingkeyparameters. Limitations: Canbecomplexandproduceanoverwhelmingnumberofoptions.MoreInfo
48. ConceptMapping
Application: Organizeandrepresentknowledgeasanetworkofinterconnectedconcepts. Limitations: Mayoversimplifytherelationshipsbetweenconcepts.MoreInfo
49. AnalogicalReasoning
Application: Drawparallelsbetweensimilarsituationstogenerateinsights.
Limitations: Mayleadtoincorrectconclusionsiftheanalogyisweak.MoreInfo
50. InnovationTournament
Application: Evaluateandrefinemultipleinnovativeideasthroughacompetitive,iterative process.
Limitations: Canberesource-intensiveandmayfavormoreconventionalideas.MoreInfo
Step6:Conclusion–FinalReportProduction&IntelligenceReports
Goal: Translatetheanalysisintoclear,concise,andactionableintelligencereportsthateffectively communicatefindingstodecision-makers.
Objective: Synthesizethefindingsfromtheanalysisphaseintoasetofstructured,wellorganizedintelligencereportstailoredtodifferentaudiencesandpurposes.
ActionSteps:
1. DevelopTargetedReports: Createaseriesofreportsaddressingspecificaspectsofthe analysis,tailoredtodifferentstakeholders.Commonreporttypesinclude:
• ExecutiveSummary: Ahigh-leveloverviewofkeyfindings,conclusions,andrecommendations(1-2pages).
• AIIntelligenceReport: InsightsandpredictiveanalyticsderivedfromAI-powered tools.
• BIBusinessReport: In-depthanalysisofeconomic,financial,andmarketimpact factors,withdata-driveninsights.
• OSINTReport: Comprehensivesummaryoffindingsfromopen-sourceintelligence gathering,includingkeytrendsandpotentialrisks.
• HUMINTReport: Documentationofinsightsfromexpertinterviewsandfieldinvestigations,ensuringanonymitywherenecessary.
• SWOT&RiskReport: Structuredassessmentofstrengths,weaknesses,opportunities,andthreats,alongwithariskmatrixandmitigationstrategies.
• StrategicMissionReport: Long-termstrategicplanoutlininggoals,objectives,and recommendedactions.
• BusinessPlan&OperationalBlueprint: Tacticalblueprintforimplementingrecommendations,includingspecificactionitems,timelines,andresourceallocation.
• FinalRecommendations&NextSteps: Concisesummaryofkeyrecommendations andproposednextstepsfordecision-makers,includingareasforfurtherinvestigation.
2. AssembletheReports: Ensureeachreportisclear,structured,andtailoredtoitsintended audience.
Output: Acomprehensivemulti-reportpackagethateffectivelycommunicateskeyfindings, insights,andrecommendationstostakeholders.
Step7:Reiteration–IterativeReview&ContinuousRefinement
Goal: Ensuretheframeworkanditsapplicationremainrelevant,accurate,andeffectivebycontinuallyreviewingandrefiningtheprocessbasedonnewdataandexperience.
Objective: Applycontinuouslearningandascientificmindsettoimprovetheframeworkand refineitsapplicationovertime,establishingavirtuouscycleofimprovement.
ActionSteps:
1. ReevaluateFindingsandAssumptions: Asnewdatabecomesavailable,revisitfindings andassumptions.Challengeinitialconclusionstoidentifyanygapsorinconsistencies.
2. IdentifyGapsorInconsistencies: Analyzetheresultstopinpointareaswheredatais lacking,whereassumptionsareunsupported,orwhereinconsistenciesexist.
3. ImplementUpdatestoIntelligenceModels: Refineanalyticalmodelsandtechniques basedonnewinsights,incorporatinglessonslearnedtoimprovefutureanalyses.
4. AssessEffectiveness: Regularlyevaluatetheframework’seffectivenessinachievingits objectives,identifyingareasforfurtherimprovementandoptimization.
Output: Aself-correcting,continuouslyimprovingmethodologythatremainsrelevant,accurate,andeffectiveovertime.
4CaseStudies
• Overview: Includedetailedexamplesofhowtheframeworkhasbeenappliedtoreal-world problems,showcasingapplicationsacrossdifferentindustriesandtypesofanalysis.
• StructureforEachCaseStudy:
a. InitialProblem: Describethechallengeorissuethatpromptedtheanalysis.
b. ApplicationoftheFramework: Outlinethestepstakenusingtheframework,includingkeyactionsandmethodologiesemployed.
c. KeyInsights: Summarizethemajorfindings,patterns,andrelationshipsuncovered duringtheanalysis.
d. Recommendations/Actions: Detailtheresultingrecommendationsoractionstaken asaresultoftheanalysis.
5CompetitiveAnalysis(Optional)
• Overview: CompareWTF?V.5.1toothercommonlyusedanalysismethods.
• ForEachMethod:
a. KeyAdvantagesofWTF?V.5.1: Highlightthestrengths,suchasitsintegrated, multi-disciplinaryapproach,scientificrigor,anditerativemethodology.
b. PotentialDownfallsoftheComparedMethod: Outlinelimitationsorshortcomings.
c. StrengthsoftheComparedMethod: Noteanyareaswherethetraditionalmethod excels.
6FinalNotesonWTF?V.5.1
• UnifiedandStructured: FollowstheNewScientificMethodbyintegratingmultipleintelligencedisciplines(AI,BI,OSINT,HUMINT)intoacoherentanalyticalprocess.
• ComprehensiveApplication: Appliesover50criticalthinkingmethodssystematicallyto generatedata-driveninsights.
• IterativeProcess: Incorporatescontinuousrefinement,ensuringtheframeworkremains adaptableandeffectiveinevolvingcontexts.
• ActionableOutcomes: Producesdetailed,tailoredintelligencereportstosupportstrategic decision-making.
7Appendix
• GlossaryofTerms: Detaileddefinitionsofkeytermsusedthroughouttheframework.
• TemplatesandChecklists: Downloadableresourcessuchasthe5W+1Hanalysisworksheetandmethodselectionchecklist.
• AdditionalResources: Linkstoexternalinformation,furtherreading,andreferencematerials.
• Changelog: Arecordofupdatesandrevisionsmadetotheframeworkovertime.