• Do you want to learn REAL Problem Solving Methods and techniques?
  • Do you feel lost or unsure of exactly how to get started with a problem?
  • Are you looking for detailed but easy to follow root cause analysis?
  • Do you conclude very fast and keep re-working on your solutions?
  • Do problems re-occour despite fixing them?
  • Do you want to understand why your product is doing well in the market?
 

     
     
 COURSE OVERVIEW  OBJECTIVES  DEEP ANALYST

In Deep Analysis you will learn about the methods of  problem-solving and how to manage a problem-solving process. This program provides you with processes and guidelines for identifying the failure mode and hence eliminate the symptom that triggers this failure. By completing this course you will be able to understand clearly the difference between
shallow analysis which leads to waste of time and effort vs Deep analysis that fixes the real problem and contains it. Deep Analysis is deeply data driven hence measuring the effectiveness of the effort is easy.

 
  • Identify the problem and the failure mode.
  • Establish relationship between different factors and use these relationships.
  • Gain more insight into the working of the process.
  • Identify potential  solutions.
  • Solve the problem and control the variables that cause deviation.


 
A Deep Analyst combines comprehensive technical and analysis capabilities with interactive operation to turn the data into valuable information. He bases his decision on sound inferences from data and is a expert in coaching.

Unlike a normal problem solver a Deep Analyst is not just a member of the team, that studies the problem. He or she shall be part of the team as well as take the team through a path that leads to the solution.

Qualities of a Deep Analyst

 
 OUTLINE . . . PROBLEM SOLVING : DEEP ANALYSIS

Situation Analysis
Problem Analysis
Methods & Solutions
1. What is Deep Analysis?
2. Identifying the Need for Deep
     Analysis.
3. Objectives of Deep Analysis.
4. Prioritizing problems.
5. Symptoms Vs Problems
6. Defining a Problem
7. Different perspectives of the same
    problem.
8. Forming the Team/Theme and
    Target.
9. Assumptions and Preconditions.
1. How and Where to start the problem
    analysis?
2. The Ambience of the problem.
3. Testing the Good/Testing the Bad.
4. Establishing Ambience relationships.
5. Data Collection.
6. Process flow and Sequence Analysis.
7. Component replacement method.
8. Correlation Method.
9. Component to characteristics
     relationships.
10. Problem redefinition.
1. What is characteristic control?
2. The Problem of Accuracy or Precision or
    both.
3. Factor Analysis – Going deeper.
4. Cause and effect analysis.
5. Optimum levels and solutions.
6. The Best solution in hand and safety
     factor.
7. Characteristic control and Plan.
8. Effectiveness of the Deep Analysis
     process?





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