In-Depth Notes on Problem Solving
Problem Solving
Introduction
Problem solving is a daily activity in modern societies.
Workplaces seek individuals capable of non-routine problem solving, particularly in managerial, professional, and technical jobs.
Skills Categories
Routine Skills:
Involve tasks that are repetitive and can be performed following a straightforward procedure.
Can be cognitive (e.g., data entry) or manual (e.g., production tasks).
Non-Routine Skills:
Require tacit knowledge, difficult to define with strict rules.
Split into:
Manual Non-Routine Tasks: e.g., cooking, requiring adaptability, social interaction, and recognition skills.
Abstract Tasks: Involves problem solving, intuition, persuasion, and creativity (e.g., managing teams, data analysis).
Requirements for Effective Problem Solving
Ability to identify problems and opportunities.
Mental attitude and emotional resilience.
Commitment to understand personal strengths and vulnerabilities.
Skills in gathering relevant information and spotting patterns.
Relationship building and adaptability.
The Problem Solving Process: Seven Steps
Problem Understanding: Grasping the nature of the problem.
Problem Cause Brainstorming: Generating ideas about possible causes through group collaboration.
Cause Data Collection: Gathering data relevant to the problem.
Cause Data Analysis: Analyzing data from various perspectives.
Root Cause Identification: Identifying the underlying cause(s) of the problem.
Problem Elimination: Creating solutions to remove the root cause.
Solution Implementation: Executing the identified solutions.
Step 1: Problem Understanding Techniques
Flow Charts: Visual representation of a process and identifying where issues may occur.
Critical Incident Analysis: Evaluating impactful incidents for insights into problem-solving.
Spider Charts: Visual tool for comparing multiple aspects.
Flow Charts Types
Regular Flow Chart: Documenting sequential steps in a process.
Cross-Functional Flow Chart: Depicting interactions across various functions/departments.
Step 2: Problem Cause Brainstorming Tools
Brainstorming: Encouraging free thought collaboration.
Structured and unstructured formats to generate ideas.
Brain Writing: Gathering ideas in writing without verbal pressure.
Card Method & Gallery Method.
Is-Is Not Matrix: Helps distinguish relevant vs. irrelevant problem aspects.
Nominal Group Technique: Structured voting on ideas to prioritize proposals.
Paired Comparison Analysis: Comparison of pairs of ideas to find the best solution.
Step 3: Problem Cause Data Collection
Sampling: Selecting representative participants for data collection.
Probability vs Non-Probability Sampling Methods: Random selection for generalizability vs convenience-based selection.
Surveys: Collecting input on opinions and attitudes.
Check-Sheets: Tools for recording data during operations to identify errors.
Step 4: Problem Cause Data Analysis
Histogram, Scatter Charts, Pareto Charts: Visual tools for analyzing collected data.
Cause and Effect Charts: Understanding relationships between problems and causes.
Also known as Ishikawa or fishbone diagrams.
Step 5: Root Cause Identification Techniques
5 Whys: Asking successive 'Why?' questions to drill down to root cause.
Fault Tree Analysis: Diagrammatic representation showing failures and events leading to a problem.
Step 6: Problem Root Cause Elimination Tools
Six Thinking Hats: A method to approach problems from multiple perspectives (facts, creativity, optimism, etc.).
Theory of Inventive Problem Solving (TRIZ): Guidelines for innovative solutions independent of known solutions.
Focuses on contradictions and inventive principles across domains.
Systematic Inventive Thinking (SIT): Framework for approaching creative problems and generating ideas.
Conclusion
Emphasizing flexible and creative thinking is essential in navigating complex and unfamiliar situations to solve problems effectively.
Each step in the problem-solving process builds the necessary skills and approaches to tackle both routine and non-routine challenges in professional environments.