Problem Analysis Task

A Problem Analysis Task is an analysis task that processes problem information (supporting problem understanding through systematic analysis processes).

• AKA: Problem Study, Issue Analysis, Problem Assessment.
• Context:
  • Task Input: Problem Description, Problem Context
    • Optional Input: Historical Problem Data, Related Problem Cases, System Documentation
  • Task Output: Problem Analysis Report, Root Cause Identification
  • Task Performance Measure: Analysis Quality Metrics such as analysis accuracy, analysis completeness, and analysis timeliness
  • ...
  • It can support Problem Solving through systematic analysis.
  • It can analyze both Simple Problems and Complex Problems through complexity assessment.
  • It can handle Well-Defined Problems through specific goal analysis.
  • It can process Ill-Defined Problems through situational improvement analysis.
  • It can evaluate Formal Problems through fact-based analysis.
  • It can assess Socio-Emotional Problems through emotional context analysis.
  • ...
  • It can often require Technical Skills during specialized domain analysis.
  • It can often utilize Domain Knowledge during professional problem assessment.
  • It can often identify Market Opportunitys during problem space analysis.
  • It can often overcome Mental Obstacles during cognitive barrier analysis.
  • It can often address Cognitive Biases during analytical process.
  • ...
  • It can range from being a Simple Problem Analysis to being a Complex Problem Analysis, depending on its problem complexity.
  • It can range from being a Tactical Analysis Task to being a Strategic Analysis Task, depending on its analysis scope.
  • It can range from being a Reactive Analysis Task to being a Proactive Analysis Task, depending on its analysis timing.
  • It can range from being a Fact-Based Analysis Task to being an Emotion-Based Analysis Task, depending on its problem domain nature.
  • It can range from being a Domain-Specific Analysis to being a Cross-Domain Analysis, depending on its knowledge scope requirement.
  • It can range from being a Resource-Light Analysis to being a Resource-Intensive Analysis, depending on its resource requirement level.
  • It can range from being a One-Off Problem Analysis to being a Recurring Problem Analysis, depending on its occurrence frequency.
  • ...
  • It can integrate with Psychology Processes for cognitive analysis.
  • It can connect to Cognitive Science for mental process understanding.
  • It can support Domain Specific Analysis for specialized problem solving.
  • It can link to Resource Assessment for solution feasibility analysis.
  • ...
• Examples:
  • Professional Problem Analysises, such as:
    • Technical Domain Analysises, such as:
      • Engineering Problem Analysis for technical solution development.
      • Computer Science Problem Analysis for computational solution design.
    • Service Domain Analysises, such as:
      • Medical Problem Analysis for healthcare issue resolution.
      • Legal Problem Analysis for legal issue assessment.
  • Problem Type Analysises, such as:
    • Complexity Level Analysises, such as:
      • Simple Problem Assessment for single issue analysis.
      • Complex Problem Assessment for multi-obstacle analysis.
    • Definition Level Analysises, such as:
      • Well-Defined Problem Analysis for clear goal assessment.
      • Ill-Defined Problem Analysis for ambiguous situation evaluation.
  • ...
• Counter-Examples:
  • Solution Design Task, which focuses on solution creation rather than problem understanding.
  • Implementation Task, which emphasizes solution deployment over problem analysis.
  • Monitoring Task, which involves ongoing observation rather than focused analysis.
• See: Problem Solving, Functional Fixedness, G Factor (Psychometrics), Emotional Intelligence, Fredda Blanchard-Fields, Scalability, Engineering, Business, Medicine, Mathematics, Computer Science, Philosophy, Societies.

---

---

References

2022

• (Wikipedia, 2022) ⇒ https://en.wikipedia.org/wiki/Problem_solving Retrieved:2022-12-12.
  • Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue, whereas the latter is complex problem solving (CPS) with multiple interrelated obstacles. Another classification is into well-defined problems with specific obstacles and goals, and ill-defined problems in which the current situation is troublesome but it is not clear what kind of resolution to aim for. Similarly, one may distinguish formal or fact-based problems requiring psychometric intelligence, versus socio-emotional problems which depend on the changeable emotions of individuals or groups, such as tactful behavior, fashion, or gift choices.

    Solutions require sufficient resources and knowledge to attain the goal. Professionals such as lawyers, doctors, and consultants are largely problem solvers for issues which require technical skills and knowledge beyond general competence. Many businesses have found profitable markets by recognizing a problem and creating a solution: the more widespread and inconvenient the problem, the greater the opportunity to develop a scalable solution.

    There are many specialized problem-solving techniques and methods in fields such as engineering, business, medicine, mathematics, computer science, philosophy, and social organization. The mental techniques to identify, analyze, and solve problems are studied in psychology and cognitive sciences. Additionally, the mental obstacles preventing people from finding solutions is a widely researched topic: problem solving impediments include confirmation bias, mental set, and functional fixedness.

---