Get the knowledge and skills you need to produce thoroughly researched, useful management studies. Receive an overview and examples of the most frequently used data-collection tools, and identify those specific situations that are amenable to those tools and approaches. Learn about the most commonly used techniques to analyze the collected data.
Program and management analysts, auditors and others who want to improve their ability to produce thoroughly researched, useful management studies or who want to learn interviewing skills and how to design questionnaires and flowchart presentations. Participants should be familiar with management analysis principles as taught in Management Analysis: Overview (PGMT7000D).
Learning Outcomes:
Construct and use a causal model
Deduce hypotheses from a causal model
See the relevance and importance of correlation
Develop viable operational definitions
Conduct physical area inspections and layout analyses
Perform work distribution charts and work samplings
Construct process flowcharts
Interview and develop effective questionnaires
Outline:
Syllabus -- Management Analysis: Data Gathering, PGMT8000D, Grad. School, USDA
Day one of four
Management Orientation review
PDCA Cycle revisited
Causal Model
Hypotheses
Correlation
Operational Definitions
Physical Inspection and Layout Analysis
Day two of four
Work Distribution Charts
Functional Analysis Systems Technique
Work Sampling
Single Column Process Flow Chart
ADP Flow Chart
Day three of four
Interviewing steps, types and strategies (including)
Probing Interviews; Developmental and Specific Informational
Constructing Interviews and Role-playing
Introduction of Questionnaires
Day four of four
Questionnaires (continued)
Identification of Questionnaire Item types
Editing and critiquing Questionnaire items
Final Case Exercise: Application to a specific work area
