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PROBLEM DISAGGREGATION
Hypothesis Driven Problem Solving A Structured Approach to Defining & Disaggregating the Problem OBJECTIVES Participants will be able to: Disaggregate the main problem Define what a good problem statement is and a bad problem statement Communicate the problem clearly and concisely Build strong argument In an ever-changing business environment, we are everyday forced to make decisions with little information or vast amounts of complex data. We are continually under pressure to present recommendations based on limited information or uncertainties. When faced with complex business challenges, most of us try to eliminate them as quickly as possible. We may even choose the easiest or most obvious solution – and then realize that we may have entirely missed a much better solution. Managers often make wrong decisions or spend a lot of time analyzing various scenarios and even digressing towards muddled solutions. NotaBene’s Problem Disaggregation offers an approach to discover the core of the problem and to explore solutions through a hypothesis-driven problem solving technique. At the end of the course, participants are able to focus on plausible and relevant outcomes, versus “boiling the ocean”- approach. WORKSHOP DURATION 1 day and 2 day programs WHO SHOULD ATTEND Leaders / Managers who want to obtain a structured approach to problem solving ADVANCED PREPARATION PACKAGE AND PRE-WORK Several articles and case studies provide context to the workshop WORKSHOP STYLE A combination of presentations, business cases, interactive discussions, breakouts and 1:1 coaching are used REFRESHER COURSE A refresher workshop can be given to make sure the tools and techniques are understood and used in the right way SAMPLE CLIENTS INCLUDE Novartis, Telenor, T-Mobile, Oracle, Visa USA, Maersk, Wipro, Syngenta The tools and methodologies applied during the course include the SMART model, Issue Tree Analysis, Hypothesis Tree Analysis, MECE principle to test for clarity and completeness and SCQA framework for an engaging introduction. SATISFACTION GUARANTEED NotaBene seeks to deliver customer satisfaction at all its workshops For more information: | | ©NotaBene 2016
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PROBLEM DISAGGREGATION
OBJECTIVES Participants will be able to: Disaggregate the main problem Define what a good problem statement is and a bad problem statement Communicate the problem clearly and concisely Build strong argument Workshop Duration 1 day and 2 day programs Who Should Attend Leaders / Managers who want to obtain a structured approach to problem solving Advanced Preparation Package and Pre-work Several articles and case studies provide context to the workshop Workshop Style A combination of presentations, business cases, interactive discussions, breakouts and 1:1 coaching are used Refresher course A refresher workshop can be given to make sure the tools and techniques are understood and used in the right way Sample Clients Include Novartis, Telenor, T-Mobile, Oracle, Visa USA, Maersk, Wipro, Syngenta Satisfaction Guaranteed NotaBene seeks to deliver customer satisfaction at all its workshops PROBLEM DISAGGREGATION Hypothesis Driven Problem Solving A Structured Approach to Defining & Disaggregating the Problem In an ever-changing business environment, we are everyday forced to make decisions with little information or vast amounts of complex data. We are continually under pressure to present recommendations based on limited information or uncertainties. When faced with complex business challenges, most of us try to eliminate them as quickly as possible. We may even choose the easiest or most obvious solution – and then realize that we may have entirely missed a much better solution. Managers often make wrong decisions or spend a lot of time analyzing various scenarios and even digressing towards muddled solutions. NotaBene’s Problem Disaggregation offers an approach to discover the core of the problem and to explore solutions through a hypothesis-driven problem solving technique. At the end of the course, participants are able to focus on plausible and relevant outcomes, versus “boiling the ocean”-approach. The tools and methodologies applied during the course include the SMART model, Issue Tree Analysis, Hypothesis Tree Analysis, MECE principle to test for clarity and completeness and SCQA framework for an engaging introduction. For more information: | | ©NotaBene 2016
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