WK4: Problem-Solving Techniques for Digital Challenges (Morning)

• Professional Practice in the Digital Economy
• Higher Education (degree)

Welcome to Week 4

Problem-Solving Techniques for Digital Challenges

Module Lecturer: Dr Raghav Kovvuri

Email: [e-mail]

Session Overview

Objective: Understand and apply structured problem-solving techniques to digital challenges.

Session Flow:

• Introduction to problem-solving in the digital context.
  
• Key frameworks and tools.
  
• Single end-to-end activity for practical learning.

Digital Problem-Solving

Understanding Digital Problem-Solving

What is Problem-Solving?

• A systematic approach to overcoming challenges.
• Importance in digital environments: complexity, real-time demands, scalability.

Digital Challenges:

• Types of issues: technical bugs, data quality, user errors, integration, and security.
• Why Structure Matters: Ensures clarity, reduces errors, and facilitates collaboration.

Tools for Problem Analysis

Activity: Research on Digital Problem-Solving Tools

Objective: Explore and understand tools for digital problem-solving. Develop insights into their application in real-world scenarios.

Tools for Digital Problem-Solving:

1. Root Cause Analysis (RCA) 
2. Agile Boards (e.g., Trello, Jira) 
3. Mind Mapping Tools (e.g., XMind, MindMeister) 
4. Data Analysis Tools (e.g., Excel, Tableau, Power BI) 
5. SWOT Analysis Tools 
6. Five Whys

Submit to Canvas Discussion

Problem-Solving Framework

Step 1: Define the Problem

• Clearly identify the issue and its impact.
• Example: “Traffic lights in Zone A fail to sync with other zones during peak hours.”

Step 2: Analyze Root Causes

• Use tools like 5 Whys or Fishbone Diagrams.
• Example root cause: Data packet delays from sensor nodes.

Step 3: Generate Solutions (Brainstorming techniques and prioritization).

Step 4: Implement and Evaluate (Plan, test, deploy, monitor)

Step 5: Document Lessons Learned (Highlight what worked, what didn’t, and future recommendations)

Analytical and Creative Thinking

Analytical Thinking:

• Logical reasoning and critical analysis.
• Pattern recognition to spot recurring issues.
• Data interpretation for informed decisions.

Creative Thinking:

• Brainstorm alternative solutions.
• Employ lateral thinking for innovative approaches.

Step-by-Step Application

Practical Guidance for Each Step:

• Document the Problem: Create a clear, concise description.
• Research Solutions: Reference tools, online communities, or expert opinions.
• Plan the Implementation: Develop a step-by-step roadmap.
• Test and Deploy: Use a controlled environment for testing.
• Evaluate Success: Measure outcomes against predefined criteria.

Implementation 

Implementation and Measuring Success

Planning and Testing:

• Example: Create a testing schedule for synchronized traffic lights.

Deployment and Monitoring:

• Use real-time dashboards to ensure functionality.

Metrics for Success:

• Reduction in traffic delays.
• System stability during peak hours.
• Positive user feedback.

Session Activity

Scenario: Solve a synchronization failure in a smart city traffic light system.

Steps:

1. Define the problem and its impact.
2. Analyze the root causes using tools (e.g., Fishbone Diagram).
3. Generate possible solutions and prioritize them.
4. Plan and document the implementation process.
5. Test the solution, monitor results, and define success metrics.
6. Reflect on lessons learned and preventive measures for the future.

Group Work Setup:

Assign roles (e.g., problem analyser, solution generator, implementation planner).

Conclusion

Key Learnings:

• Importance of structured problem-solving.
• Application of frameworks and tools in real-world digital challenges.
• Combining analytical and creative thinking for effective solutions.

Takeaways:

• A systematic approach leads to clarity and efficiency.
• Tools like Fishbone Diagrams and digital platforms enhance problem analysis and resolution.
• Team collaboration and critical thinking are essential for success.