COURSES
MBAData Science & AnalyticsDoctorate Software & Tech AI | ML MarketingManagement
Professional Certificate Programme in HR Management and AnalyticsPost Graduate Certificate in Product ManagementExecutive Post Graduate Program in Healthcare ManagementExecutive PG Programme in Human Resource ManagementMBA in International Finance (integrated with ACCA, UK)Global Master Certificate in Integrated Supply Chain ManagementAdvanced General Management ProgramManagement EssentialsLeadership and Management in New Age BusinessProduct Management Online Certificate ProgramStrategic Human Resources Leadership Cornell Certificate ProgramHuman Resources Management Certificate Program for Indian ExecutivesGlobal Professional Certificate in Effective Leadership and ManagementCSM® Certification TrainingCSPO® Certification TrainingLeading SAFe® 5.1 Training (SAFe® Agilist Certification)SAFe® 5.1 POPM CertificationSAFe® 5.1 Scrum Master Certification (SSM)Implementing SAFe® 5.1 with SPC CertificationSAFe® 5 Release Train Engineer (RTE) CertificationPMP® Certification TrainingPRINCE2® Foundation and Practitioner Certification
Law
Job Linked
Bootcamps
Study Abroad
MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business Administration | STEMMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration MBA General Management-90 ECTSMSc International Business ManagementMS Data Science Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMaster in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMBA in Strategic Data Driven ManagementMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc in Sustainable Global Supply Chain ManagementMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business AdministrationMaster of Business AdministrationMSc in International FinanceMSc in International Management and Global LeadershipMaster of Business AdministrationBachelor of BusinessMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 90 ECTSBachelor of Business AnalyticsBachelor of Information TechnologyMaster of Business AdministrationMBA Business AnalyticsMSc in Marketing Analytics and Data IntelligenceMS Biotechnology Management and EntrepreneurshipMSc in Luxury and Fashion ManagementMaster of Business Administration (90 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS) MSc in International Corporate Finance MSc in Sustainable Luxury and Creative IndustriesMSc Digital Marketing
For College Students

Summary: Formulating Hypothesis

$$/$$

From this session and the previous one before it, you have learnt how to formulate a list of hypotheses through the process of interviewing. When you come across a problem, the key objective is to identify the root causes and eliminate them. But when you start the process of problem-solving, you may be unaware of the business, the company, the problem and the impact it has. After this session, you have a systematic approach to deal with the business problems and identify possible reasons for the issues faced.

 

First, you came across the Business Model Canvas which helps to understand all the aspects of the business. You can map the firm's or product's value proposition, infrastructure, customers and finances with this framework.

 

After this, you learnt about multiple frameworks and saw the demonstrations through different business cases for the following cases:

  • Issue Tree Framework
  • 4P Framework
  • 5C Framework

 

These frameworks should help you reach the final hypotheses at the end of the interviewing process. Apart from these frameworks, there are other models available which you can apply according to your problem case. So, try and explore different frameworks based on the problem you are provided.

 

Also, one thing that you should note is that to use these frameworks efficiently, you should keep practising different business cases on your own. This will increase your chances of understanding businesses better, formulating good hypotheses, and save a huge amount of time when you try to solve a real problem. Best way to practice case studies is to form small groups and take turns playing the role of a client, problem solver and the audience.

$$/$$

The next step that follows after the hypotheses formulation is to collect data to validate them.  Once you have validated the hypotheses, you can start working on a solution around that root cause.