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“3-D”ClientValueAssessmentAssessingClientValueforAgriculturalIndexInsurance
ATechnicalGuide
2
Authors:
EAConsultants:
CoralieMartin
BarbaraMagnoni
ILOImpactInsuranceFacility:
AparnaDalal
FeedtheFutureInnovationLabforAssetsandMarketAccess(AMAInnovationLab)
TaraChiu
3
TableofContents
AboutthisGuide..........................................................................................................................................5
The“3-D”AnalysisofClientValue...............................................................................................................6
ThecaseformeasuringClientValue........................................................................................................6
The3-DTool.............................................................................................................................................6
HowtousethisGuide..................................................................................................................................7
The3DimensionsofClientValue.............................................................................................................8
Figure1.3-DTool“AssessmentInput”Sheet(Indicator#2)................................................................9
Figure2.The3-DToolAssessmentResultSheet.................................................................................9
The5phasesofa3-DAnalysisofClientValue.........................................................................................9
Figure3.The5Phasesofa3-DAnalysisofClientValue....................................................................10
Step1:ProjectPlanning.............................................................................................................................11
Objectives...............................................................................................................................................11
Planningfora3-DAnalysis.....................................................................................................................11
Understandproductandcontext.......................................................................................................11
Setexpectations.................................................................................................................................11
Refinescopeandobjectives...............................................................................................................11
CreateWorkplan................................................................................................................................12
Figure4.The3-DClientValueAssessmentWorkplan–SampleTasks..............................................12
Figure5.The3-DClientValueAssessmentWorkplan–SampleTimelines........................................12
Step2:Preparation....................................................................................................................................13
Objectives...............................................................................................................................................13
Preparingfora3-DAnalysis...................................................................................................................13
Discussadministrativedataneedsandavailability............................................................................13
Sendwrittenrequeststorelevantstakeholders................................................................................13
Researchinformationtobeobtainedfromexternalsources............................................................13
Sampling.............................................................................................................................................13
Preparationofinstruments................................................................................................................14
Preparationoftrainingmaterials.......................................................................................................14
4
Planningoffieldtrip...........................................................................................................................14
Step3:DataCollection...............................................................................................................................15
Objectives...............................................................................................................................................15
Obtainingdatafora3-DAnalysis...........................................................................................................15
Gatheringadministrativedata...........................................................................................................15
Conductfieldtripasplanned.............................................................................................................15
Obtainandverifydatasets.................................................................................................................15
Step4:DataAnalysis..................................................................................................................................16
Objectives...............................................................................................................................................16
AnalyzingDatafora3-DAnalysis...........................................................................................................16
CleanDatasets....................................................................................................................................16
RunMQSTest.....................................................................................................................................16
Obtainascoring.................................................................................................................................16
Step5:FormulatingRecommendations.....................................................................................................17
Objectives...............................................................................................................................................17
FormulatingRecommendationstoincreaseclientvalue.......................................................................17
Formulatehypothesis.........................................................................................................................17
Shareresultsandcollectfeedback.....................................................................................................17
Finalrecommendations......................................................................................................................17
Finalreport.........................................................................................................................................17
5
AboutthisGuide
The3-DClientValueAssessment TechnicalGuide (3-DTechnicalGuide)provides guidanceonhow toconducta3-DAnalysisofClientValueforagriculturalindexinsuranceproducts,usingthe“3-DClientValueAssessmentTool”(3-DTool).
Itispartofabroadersetoftools,templatesanddocumentsthataimtosupport3-DAnalysesofClientValue.Thesedocumentswillbereferredtothroughoutthisguide,withindicationsonwhenandhowtousethem.
Thetablebelowsummarizesthedifferentdocumentsthatconstitutetheentiretoolkitfora3-DAnalysisofClientValueforagricultureindexinsuranceproducts.
DocumentName Description
3-DTechnicalGuideThe3-DTechnicalGuide(presentdocument)providesguidanceonhowtoconducta3-DAnalysisofClientValue,usingthe3-DToolandassociateddocumentsdescribebelow.
3-DToolThe3-DToolisthecenterpieceoftheanalysis.Itlooksatclientvalueacross14indicatorsandprovidesindicationsonhowobtainascoringforeachofthem.
3-DClientValueAssessmentWorkplan
Thisdocumentaimstosupporttheplanningofa3-DAnalysisofClientValue.Itincludestypicaltasksandsteps,presentedintheformofasampleworkplan.
3-DAdministrativeDataChecklist
The3-DAdministrativeDataChecklistsummarizesimportantinformation,administrativedataanddocumentationstocollectthroughouttheanalysis.Italsohelpskeeptrackofdeadlinesandinformationgaps.
3-DInterviewGuidesThisfilecontainsinterviewguidesforcoveredfarmers,management,andsalesstafforagents.Eachquestionisassociatedtotheindicatoritaimstoassess.Theguidescanbecustomizedtoproductsandcontexts.
MQSCalculationSheet
TheMQSCalculationSheetisatoolthatprovidesameasureofindexreliabilityusedforIndicator#1.Itisasimplifiedversionofthe“MinimumQualityStandard”methodology.
3-DWorkingTemplate The3-DWorkingTemplateprovidesstep-by-stepguidanceforanalyzingthedatacollectedthroughtheanalysisforeachindicator.
3-DReportTemplate The3-DReportTemplatehasbeencreatedtosupportthepresentationoffindingsandrecommendationsaftertheanalysishasbeenconducted.
6
The“3-D”AnalysisofClientValue
ThecaseformeasuringClientValue
Smallholder farmersarehighlyvulnerable torisks, includingweatheruncertainty,pests,disease,pricevolatility,andlaborrisk.Often,existingtoolsthatsmallholderfarmersusetomanagethoserisksarecostlyandinsufficient.Inthiscontext,insuranceproductscoveringagriculturalriskshavethepotentialtoofferhighclientvalue.
While traditional insurance products are often inaccessible to smallholder farmers, index insuranceproductsmight offer an affordable and feasible alternative. But poorly designed index insurance cancreatemorerisksthantheymitigate.Forexample,apoorlydesignedindexcouldresultinfarmers’failingtoreceivepayoutswhentheyexperiencelosses,orreceivingpayoutswhentheydidnotsufferany.Otherissues,suchaslackofunderstandingoftheproductamongfarmers,highpremiumsorirrelevantcoverage,couldalsoerodeclientvalue.
Particularlywithcomplex,indexinsuranceproducts,understandingtheproducts’valuepropositionandassessingthevaluetheybringtoclientsisessential.The3-Dtoolprovidesaframeworktoconductsuchanalysis. One of the key underlying assumptions of this tool is the following: if a product cannot bedesigned,distributed,anddeliveredtoclientsinawaythat–ataminimum–doesnotmakeclientsworseoffforhavingpurchasedtheproduct,itshouldnotbesold.
The3-DTool
The3-DToolisaClientValueAssessmenttoolcreatedbytheILO’sImpactInsuranceFacilityandtheFeedtheFutureInnovationLabforAssetsandMarketAccess(AMAInnovationLab).
MergingtheFacility’sPACEAnalysis,adaptedforindex-basedagriculturalinsurance,withtheAMAInnovationLab’scalculationsforMinimumQualityStandardsforIndexInsurance,thistoolprovidesamulti-dimensionalunderstandingofthevaluepropositionforpotentialorexistingclients.
ThethreedimensionsincludedintheanalysisareDesign,DistributionandDelivery.Eachdimensionincorporatesdifferentelementsthatcontributetoclientvalue.
7
HowtousethisGuide
WhoThis Guide has been created to support anyoneconductinga3-DAnalysisofClientValuefor index-basedagricultural insuranceproductsusingthe3-DTool.The3-DToolcannotablybeusefultoinsurers,consultants,technicalassistancepartners,donors,orresearchers.
WhyAlthough the 3-D Tool information on the type ofdata needed, data collectionmethods and scoring,experiencehasshownthatasuccessful3-DAnalysisof Client Value requires careful planning,communication and follow-up. This documentprovidesstep-by-stepguidanceforeachphaseoftheanalysis.
What ThisGuideisasupportingresourcethatismeanttobe used in conjunction with other relevantsupporting documents and templates (See SectionAboutthisGuide).
WhenThis Guide has been designed to support a clientvalue analysis conducted for an existing product,afteritslaunch.
Iftheanalysisisconductedbeforeproductlaunch,refertothe3-DExAntetool,whichhasbeendesignedforsuchanalysis.
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Astep-by-stepguidetoa3-DAnalysisofClientValue
The3DimensionsofClientValue
The3-DToolassessesclientvalueacrossthreedimensions:1. Design2. Distribution3. Delivery
Foreachdimension,the3-DTooldefinesstandardsthateveryproductreachingthemarketisexpectedtomeet.Thesestandardsaredefinedby14distinctindicatorsofclientvalue:
Toevaluatehowaproductperformsagainstthe14indicatorsofclientvalue,the3-DToolprovidesspecificdatasourcesandthresholds.A3-DAnalysisofClientValueinvolvesobtainingtherelevantinformationfrommultiplesources,conductingbothqualitativeandquantitativedataanalysis,andobtainingascoringforeachindicator.Thefigurebelowprovidesanexampleofhowthetoollookslikeforaspecificindicator(here,Indicator#2).Thetoolusesthesameformatforeveryindicator.
Dimension Indicator
1. Index reliably predicts farmers’ experience
2. Covers appropriate activities
3. Covers appropriate risks
4. Enables productive investment decision-making
5. Minimizes gaps in coverage
6. Covered farmers are adequately informed of product details
7. Staff and sales agents are adequately trained, incentivized, and supervised to inform clients and sell responsibly
8. Payment processes minimize liquidity constraints
9. Product is inclusive
10. Product delivers adequate coverage for money
11. Benefits are delivered in a timely manner
12. Procedure to deliver benefits is reliable and understood
13. Provider is responsive and proactive about questions, problems, and complaints
14. Covered farmers receive evidence of coverage
Design
Distribution
Delivery
9
Figure1.3-DTool“AssessmentInput”Sheet(Indicator#2)
Scores range from0 to2. In the tool, thescorescanbeselecteddirectly fromthedropdown list.Theresultsareautomaticallycomputedandreflectedinthe“AssessmentResult”sheetofthetool,givingafinal score and thedistributionof scoresby indicator, as shown in Figure2below. The results of theanalysiscanbeusedtoformulaterecommendationsandinformproductimprovements.
Figure2.The3-DToolAssessmentResultSheet
The5phasesofa3-DAnalysisofClientValue
Althoughthisstructuremightbeadjustedtodifferentprojects,a3-DAnalysistypicallyfollowsthestepsoutlinedbelow(SeeFigure1).Thisdocumentprovidesguidanceonhowtoconducta3-DAnalysis foreachofthesesteps.
Indicatorassessed
DescriptionofinformationrequiredforeachdatasourceforIndicator#2.
PossiblescoresforIndicator#2andthresholds.Thescoringisbasedonananalysisofthedataobtainedagainstthesethresholds.
DatasourcesneededtoconducttheanalysisforIndicator#2.
Finalscore
10
Figure3.The5Phasesofa3-DAnalysisofClientValue
STEP
01ProjectPlanningü Definescopeandobjectivesü Identifykeystakeholdersü Definetimelinesü Createworkplan
STEP
02Preparation
ü Identifydatasourcesü Prepareinstrumentsü Preparetrainingmaterialü Planningoffieldtrip
Datacollection
ü Trainsurveyteamsü Conductinterviewsü Deskresearchü Collectadministrativedata
STEP
03
Dataanalysis
ü Cleandatasetsü Analyzeinterviewresultsü Obtainscoringforeach
indicator
STEP
04
STEP
05 ü Reviewstrengthsandgapshighlighted
ü Obtainfeedbackü Formulaterecommendations
Recommendations
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Step1:ProjectPlanning
Objectives
Good planning is essential for a successful 3-D Analysis. This phase involves obtaining a generalunderstandingoftheproductassessedandthecontextinwhichitisdistributed.Preliminaryresearchanddiscussionsshouldhelpcreateandrefineaworkplanforthe3-Danalysis.
Planningfora3-DAnalysis
Understandproductandcontext:Anyinformationthatcanbeeasilyobtainedonlineorfromtheinsurer(backgroundinformation,productsheets,articles,regionalcontext,etc.)canbecollected
andreviewed.Thisshould include informationonkeystakeholders (e.g., insurer,distributor, technicalassistancepartner…)andtheirrespectiveroles.
Set expectations: Objectives anddeadlinesshouldbediscussedwithkey
stakeholders in theearly stages,alongwithexpectations related to data requests,interviews, and any activity that requirestime commitments. It might be useful toassignonepointofcontactineachrelevantinstitution.
Refine scope and objectives: Earlydiscussions should also help obtain
relevant information to refine the scope ofthe assessment, such as number ofcustomers, areas in which the product isdistributed, constraints and additionalresourcesneeded(e.g.,localsurveyors,etc.).
The3-DTool:shouldbereviewedtohaveaclearunderstandingofthetool,anticipateneedsandrefineprojectscopeandobjectives.
3-DClientValueAssessmentWorkplan(SeeFigure4)canbeadaptedandusedasatemplate.
Refiningthescope:cropselection
When a product is available for multiple crops,decisionsmustbemadeonwhichcrop(s)toincludeintheanalysis.Thiswillhaveanimpactonthesampling,andontheanalysisofproductrelevance.
If only one index is used to determine payouts, theanalysismaybe conducted for all the crops at once.However, if each crop has its separate index, it isrecommendedtofocusononecroponly.
Ingeneral,thefocusshouldbeonthecropthatismostimportanttofarmers’well-beingintheareawheretheanalysis is conducted. Discussions with themanagement or publicly available sources may helpobtainthisinformation.
RESOURCES:
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CreateWorkplan:The3-DClientValueAssessmentWorkplancanbeusedasatemplatetodefinemainstepsandtimelines.Timelinesareindicativeandcanbetailoredtoeachprojectdependingon
scope,objectives,constraintsandresources.Thesuggestedstepsmayalsobeadjusted.Figures4and5belowshowhowthe3-DClientValueAssessmentWorkplanlookslikeinpractice,withtheexampleofthesecondstepoftheanalysis(note:thetableshavebeencondensedtofittheformatofthisdocument).
Figure4.The3-DClientValueAssessmentWorkplan–SampleTasks
Figure5.The3-DClientValueAssessmentWorkplan–SampleTimelines
Ref. Task Responsible Startdate EndDate
Step2.Preparation2.1 Discussadministrativedataneedsandavailabilitywithkeystakeholders XX MM.DD.YY MM.DD.YY2.2 Identifyrelevantsourcesforeachdocumentneededanddefinetimelines XX MM.DD.YY MM.DD.YY2.3 Sendwrittendatarequeststorelevantstakeholders XX MM.DD.YY MM.DD.YY2.4 Researchinformationtobeobtainedfromexternalsources(researchinstitutes,government,etc)XX MM.DD.YY MM.DD.YY2.5 Samplingforfarmers,staffandagentsinterviews XX MM.DD.YY MM.DD.YY2.6 Preparationofsurvey/interviewinstruments XX MM.DD.YY MM.DD.YY2.7 Preparationoftrainingmaterialforsurveyteams(ifrelevant) XX MM.DD.YY MM.DD.YY2.8 Planningoffieldtrip XX MM.DD.YY MM.DD.YY
Ref. Responsible Startdate EndDate 1 2 3 4 5 6 7 8 9 10
Step2.Preparation2.1 XX MM.DD.YY MM.DD.YY2.2 XX MM.DD.YY MM.DD.YY2.3 XX MM.DD.YY MM.DD.YY2.4 XX MM.DD.YY MM.DD.YY2.5 XX MM.DD.YY MM.DD.YY2.6 XX MM.DD.YY MM.DD.YY2.7 XX MM.DD.YY MM.DD.YY2.8 XX MM.DD.YY MM.DD.YY
Weeks
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Step2:Preparation
Objectives
Thesuccessofthe3-DAnalysisliesgreatlyinthecapacitytocollectdataandelicittruthfulanswersfromallstakeholders.Step2aimstoensurethatalltheconditionsaremettoobtaincompleteandaccuratedata. This implies communicating clear requests to the right people, providing relevant training andguidance,andensuringthatinterviewandsurveyinstrumentsareadequate.
Preparingfora3-DAnalysis
Discussadministrativedataneedsandavailability:Administrativedatarequestsshouldbediscussedwith the relevant stakeholders toensure thatdata isavailable, identifywhocanprovide it, and
under which timeframe.When data is not available or incomplete, further discussions can help findalternativeoptions.
Sendwrittenrequeststorelevantstakeholders:Afterreachingacommonunderstandingoncontent,deadline and person responsible, a clear, written request should be sent to all the relevant
stakeholders,mentioningthetypeofinformationexpected,formatsanddeadlines.
Researchinformationtobeobtainedfromexternalsources:Forsomeindicators,the3-DToolreliesdirectlyonexternalsources.Thesesourceswillvarydependingonprojectsandcountries,andmust
be researched and identified. Potential sources include agricultural research institutes (e.g., ILRI,CIMMYT),internationalorganizations(e.g.,WorldBank,FAO),orgovernmentagencies.Externalsourcescanalsobeusedtofillinformationgapsorsupplementdataobtainedfrominterviews.
Sampling:Thesamplingoffarmerstobeinterviewedisacrucialpartofanalysis.Poorsamplingmayresult in important biases in the analysis. Although a 3-D Analysis does not require to have a
representative sample, interviewinga sufficientnumberof farmers fromdifferentgeographicareas isessential.
The3-DAdministrativeDatachecklistliststhedocumentsandinformationtobeobtainedfora3-DAnalysis.Thislistcanbeusedtokeeptrackofinformationobtainedanddeadlines.
The3-DInterviewGuidescanbeusedtoruninterviewsfora3-DAssessment
RESOURCES:
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Preparationofinstruments:The3-DInterviewGuidesshouldbereviewedbeforethedatacollectionprocessandquestionsmaybeadjustedifneeded.Decisionsmayalsobemadeonformat(e.g.,focus
groupsvsinterviews),andsupportingdocumentssuchasproductsheets,documentsexplainingcoverage,customersatisfactionsurveys,mustbepreparedandprinted.
Preparationoftrainingmaterials:Ifthirdpartiesareinvolvedinthedatacollectionprocess,suchassurveyors or translators, ensuring that they are familiar with the instruments and trained to
administerthemisessential.
Planningoffieldtrip:Theplanningoffieldtripshouldbeadaptedtoeachprojectscope,logisticalconstraints,resourcesavailableandsampling.Aprocesscanbediscussedwithpartnerstoensure
that farmers will be available and willing to be interviewed at the time of the visit. At this stage,appointments for interviews should alsobemadewith themanagement and staff / agents.Althoughrigoroussamplingisnotneededforagentsandstaffinterviews,itishighlyrecommendedtointerviewafewagents(2-3)foreachareavisited.
SamplingGuidelinesforfarmersinterviews
InformationNeeded
o Listofareas(villages,districts,etc.–dependingongeographicalscopeandinformationavailable)wheretheproductisdistributed
o Listofareaswherethereareconstraintsforfieldwork
o Listofareaswheretherehasbeenapayoutvs.areawheretherehasnotbeenapayoutinthelast10years
o Percentageoffarmerswhohavereceivedanindemnityinthelast10years
of farmers who have received an indemnity in in total = in sample %
#Totalfarmerscovered #Farmersinsample1-500 1-50
500-1,000 50-1001,000-5,000 100-1505,000-10,000 150-20010,000-50,000 250-300
#Areasintotal #Areasinsample1-10 1-510-20 5-1020-50 10-1550-100 15-20100-500 20-30
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Step3:DataCollection
Objectives
Obtainingreliabledatasetsandrelevantinformationontheproductassessed
Obtainingdatafora3-DAnalysis
Gatheringadministrativedata:Afterthewrittenrequestshavebeensent,makesuretokeeptrackofinformationobtained,sendremindersasneededandproviderelevantclarifications.
Conductfieldtripasplanned:FollowtheplanningcreatedinStep2forconductinginterviewswithfarmers,agentsand/orstaff,andmanagement.
Obtain and verify datasets: Especially if farmers interviews are conducted by third parties, it isadvisable to conduct periodic checks and review any available datasets regularly. Similarly,
administrativedatamustbeverifiedtoensurethattheinformationprovidediscomplete.
The3-DAdministrativeDatachecklistcanbeusedtokeeptrackofinformationobtained
RESOURCES:
TipsforFieldwork
ü Findtherighttime:thoughmakingappointmentsmightnotbepossible,findingthebesttimetovisitfarmersandbeingawareoftheirschedulesisimportant.
ü Findtherightplace:makesurethatthesettingisconducivetosharingexperiencesandopinions.
ü When traveling to remove areas, verify thatmeans of communication are available, in case ofunexpectedevent(e.g.,checkingcellphoneconnection,surroundings)
ü Whentheresearchertrainsateamofsurveyors,makesuretoobserveafewinterviewstoconfirmthattherecommendedapproachisfollowed.
ü Berespectfulandapproachable.
ü Useappropriatelanguage,avoidingjargon.Supportingdocumentsandvisualscanalsobehelpful.
ü Makeitclearthatnorewardcanbeobtainedfromprovidingcertainanswers,positiveornegative
ü Donot assume that farmers donot understand complex insuranceproducts. Explain conceptsclearlyandpayattentiontoanswers.
16
Step4:DataAnalysis
Objectives
Analyzingtheinformationgatheredtoobtainascoringforeachindicator.
AnalyzingDatafora3-DAnalysis
CleanDatasets:Informationobtainedthroughinterviewsmaybeincompleteandcontainerrors.Thefirststepoftheanalysisistoidentifytheseerrors,fillthegapswhenpossible,andobtainaclean,
usable dataset. If answers are deleted, the impact on sample representativity, if significant,must beaccountedfor.
RunMQSTest:Indicator1reliesontheMinimumQualityStandardtest,amethodologydesignedtodeterminewhetheranindexproduct,atthepriceatwhichitisbought,makesclientsbetteroffor
worseoff.TheMQSCalculationSheetprovidesthenecessaryindicationstorunthistest.
Obtainascoring:ObtainingascoringforIndicators2to14requiresbringingtogethertheinformationgatheredfrommultiplesourcesandanalyzingitagainstthethresholdssetbythe3-DTool.The3-D
WorkingTemplatecanbeusedasaworkingdocumenttoconductthisanalysis.
Whatdodifferentscoresmean?
TheMQSCalculationSheetisatooldesignedtoruntheMQSTest
The3-DWorkingTemplateprovidesguidanceondataanalysisandscoringforeachindicator.
RESOURCES:
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Step5:FormulatingRecommendations
Objectives
Formulatingmeaningfulrecommendationstoaddressgapsidentifiedandincreaseclientvalue.
FormulatingRecommendationstoincreaseclientvalue
Formulate hypothesis: A 3-D Analysis helps highlight gaps and strengths in product design,distributionordelivery.Ultimately,thisanalysisshouldinformproductimprovementsandincrease
clientvalue. Indicatorswhere theproductobtainspoororaveragescores indicateareaswhereactionshould be taken to ensure that the product brings value to clients. Often, the information obtainedthroughinterviewsoradditionalresearchprovidesrelevantelementstoformulatehypothesisonproductimprovements.
Shareresultsandcollectfeedback:The3-DAnalysisshouldbeconductedinclosecooperationwithinsurersandpartners.Oncethescoringhasbeenobtained,itisusefultodiscussitwiththedifferent
stakeholders involved, and make adjustments if relevant. The hypothesis developed should also bediscussed:insomecases,thesolutionsproposedmayalreadyhavebeentestedinthepast,maynotbefeasibleorrelevant.Additionaldiscussionsshouldhelprefinehypothesisandobtainbuy-in.
Finalrecommendations:Finalrecommendationsshouldaddressthegapsidentifiedintheanalysis,relyoninformationobtainedthroughinterviewsandresearch,andfittheproductandcontext.Once
the 3-D Analysis is finalized, the insurer and partners may need to prioritize the implementation ofrecommendationsbasedonscoresobtained(startingwith“poor”scores)andresourcesavailable.
Finalreport:Havingawrittenrecordoftheanalysisconductedisimportanttokeeptrackofissuesidentifiedandmonitorimprovements.Awrittensummaryorreportmayalsobeusedasmaterialto
communicatetheresultsoftheanalysisandobtainthenecessarysupportandresourcestoimplementtherecommendedchanges.The3-DReportTemplatecanbeusedasaframeworktopresentfindingsandresults.
The3-DReportTemplateprovidesaframeworktopresentfindingsandrecommendations
RESOURCES:
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