Enabling ‘Best Fit’ Hiring - EnshrineDr. Anamika Sharma Head, Psychometrics Associate Dr....
Transcript of Enabling ‘Best Fit’ Hiring - EnshrineDr. Anamika Sharma Head, Psychometrics Associate Dr....
Enabling‘BestFit’Hiring
Who is a ‘Best-Fit’ candidate?
Me5l’s Psy-Fi helps you precisely iden<fy these ‘Best Fits’
Psy-fi mashes Psychometrics, Data Sciences & Technology to enable ‘Best-Fit’ Hiring
Technology
Enablesautoma5onandstandardisa5onhelpingachievescaleandreachwhiledecreasingcosts
Psychometrics
Providesaccurateandvalidtoolstomeasurekeyskillsand
competencies
DataScience
PredictsandcorrelatesOn-The-JobPerformance,StabilityandJob
Fitmenttothecompetencyscoresbyusingvarioussta5s5cal
techniques
How does Psy-Fi work?
JobAnalysisUnderstandtheKeyCompetencies(KC)requiredtofulfilthejobrequirements
MappingCollaborateandchartouttheKeyCompetencies(KC)toMeOlCompetencies(MC)orFacets(MF)
Assessment&ReportConfigura>onRollouttheassessmentmappedtoMC/MFtoreflecttheperformanceontheKeyCompetencies(KC)
BenchmarkwithRequirementsRunassessmentsoverarepresenta5vepopula5onandbenchmarkscoreswithperformance
Predic>veValida>onUsebenchmarkstoget‘BestFits’andplanforperiodiccon5nuousimprovements
Psy-Fi in ac<on for a B2B Sales Representa<ve
JobAnalysisTheKeyCompetencies(KC)are:• AchievementOrienta5on• Decisiveness• Persistence• …
Mapping• AchievementOrienta5on=f(AchievementStriving*,Competence*,Du5fulness*)• Decisiveness=f(Asser5veness*,Competence*,Organiza5on*,Delibera5on*)• …
*whereAchievementStriving,Competence,Du5fulness,Asser5veness,Competence,Organiza5on,Delibera5onareMeOlFacets(MFs)
Assessment&ReportConfigura>onIfMPIconsistsofallthefacetsthatweneed,weshallruntheMPIonthecandidateandreversecalculatethescoresonvariousKCs
BenchmarkwithRequirementsRuntheassessmentoverarepresenta5vepopula5onsampleandfindcorrela5onbetweentestscoresandperformance.Basedondegreeofimprovement,finalizecutoffsatoverallandKClevel
Predic>veValida>onRuntheseassessmentsforeverynewcandidate.Revisitthecorrela5onevery6mthoncewehaveaddi5onalperformancedataforrecommendedcandidates.Makeimprovementsacrosseachofthe4stepsevery5me.
High scorers tend to have higher average performance
High performers in high scorers bucket >> High performers in low scorers bucket
Profiles with highest reten<on tend to be correlated with a few cri<cal competencies
Case Study: Implemen<ng Zydus Cadila’s Behavioral Competency Framework (BCF)
TheSolu>on
Se_ngupanorganiza5onwideBehavioralandTechnicalCompetencyFramework
TheImpactHighcorrela5onbetweenon-the-job-perofrmanceandtestscoresleadingtoadirecttop-lineimpact
Case Study: Implemen<ng a Predic<ve Reten<on Model for a large Automobile Company
TheSolu>on
Builtapredic5vemodelforreten5onbymeasuringkeycompetencies,sa5sfiersanddemographicdata
TheImpact50%+improvementinreten5onnumbers
Case Study: Iden<fying and hiring Trailblazers for a leading Insurance Company
TheSolu>on
Devisemethodologiestoaccuratelyiden5fycandidateswhoresonatewith
organiza5on’scorecompetencies
TheImpactWithpreciseiden5fica5onofcandidatesalignedwithorganiza5on’svision,thefirmhasarealis5cchanceofgrowing3Xin3years
Clients that make us stronger
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Featured in CNBC’s Young Turks for making a difference in Skilling India
Winner of Michael Porter & IFC-Mint Strategy Award for Technology Enabled Assessments
Among top 50 winners by TiE across 24 countries at Silicon Valley, USA.
Tes<monials and Accolades
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Your projects are in safe hands with these
Creden<als
Dr. Anamika Sharma Head, Psychometrics
Dr. Puranjaya Singh Consultant,
Psychometrics
Uma S Head, Assessment
Research and Quality
Dr. Aar< Shyamsunder Consultant,
Psychometrics
Gunika Renjen Senior Associate,
Psychometric R&D
Devalina Parichha Associate
Psychometrician
Samiksha Bhardwaj Associate
Psychometrician
Deepa Anant Associate
Psychometrician
Upali Basu Head,
Data Sciences