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
Master in International Management (120 ECTS)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 Analytics
For College Students

Interviewing: Frameworks - III

$$/$$

Another framework that can be helpful in the process of interviewing is the SPIN selling framework. Let’s hear about it from Anand.

$$/$$

You heard about the four elements (questions you must ask) of understanding the business problem and establishing a relevant proposition for the solution. There should be a balance between the number of questions asked under each element, which can be understood using the table below:

 

Question TypeDescriptionBenefitImpact
SituationQuestions about the customer's current processes and situationsSeller understands the buyer's context, but the buyer is boredUsed more in calls that fail; overused by inexperienced people
ProblemQuestions about the customer's problemsSeller uncovers buyer's problems; the buyer is interested in discussing problems
Strongly linked to success in smaller sales
ImplicationQuestions leading the customers to uncover the implications of their problemsSeller transforms implied needs into explicit needsStrongly linked to success in larger sales
Need-PayoffQuestions offering potential solutions and the benefit of solving the customer's problemsSeller influences buyer to realise the potential benefits of solving the problemStrongly linked to success in larger sales

Source: Spin Selling by Niel Rackham

 

The SPIN framework starts with asking about the current situation and helps you visualise the entire journey, from when the problem arises to what will happen when the problem is solved. It is an excellent approach to follow, as it helps the client (internal or external) realise the extent of both the problem and the solution. 

 

Following are some key points that you should keep in mind while using the framework:

  • The result of the framework highly depends on the quality of the questions that are asked. If you are not asking the correct questions, you will end up with a large chunk of useless information. This can go in the opposite direction as well. You might even miss some vital information by not asking a question about it. Hence, you should always include questions from all the four categories (SPIN), by striking a balance among all four.
  • The questions should not make the interviewee uncomfortable. You should be careful in framing the questions so that the interviewee feels free to share the relevant information.
  • You should do your share of research before asking the situation and problem questions so that you have some context when the interviewee is providing you with the information about the process or the company. It will help you prepare for the implication and need-payoff questions based on what solution can be provided in those problem scenarios.
  • The implication and need payoff should not trigger any unrealistic targets for the people facing the problem. It is a possible scenario because the client or the internal team may expect you to solve all the problems and implications arising from them.

 

Apart from the points above, one major challenge that comes with the framework is correctly identifying the category to which the question belongs. The major confusion lies between the situation and the problem questions. You should always keep in mind that if the question is trying to gather information about a process or an activity, it will be a situation question. If the question is meant to reveal the problems that the company might face, then it is a problem question. Let’s try to understand these using an example:

 

Question 1: Why do you use equipment “X” for activity “Y”?
Question 2: Is the equipment “X” reliable for activity “Y”?

 

Question 1 would fall under situational question as you are trying to understand the process in the company. However, question 2 will be framed after you know the process and are trying to understand whether there is any problem with equipment “X”. Hence, you should be able to distinguish between the two. To understand more about the framework, you can refer to this link

$$/$$

In the next segment, you will be asked to apply your understanding of the SPIN selling framework on the revenue return problem discussed in the previous section.