Problem Solving
Systematic approach to complex problems with AI
Use AI as an intelligent partner for systematically solving complex challenges.
Problem Analysis
Root Cause Analysis
Analyze this problem:
[Problem description]
Use the 5-Why method:
1. Why does the problem occur?
2. Why is that so?
3. Why does this lead to that?
4. Why does this condition exist?
5. What is the root cause?
Ishikawa Diagram
Create a cause-and-effect analysis for:
[Problem]
Categories:
- People
- Methods
- Machines
- Materials
- Environment
- Measurement
Identify main and secondary causes
Solution Development
Brainstorming
Generate 10 solution approaches for:
[Problem]
Criteria:
- Creative and unconventional
- Practically implementable
- Cost-efficient
- Quick to implement
- Sustainable
Solution Evaluation
Evaluate these solution options:
[List of options]
Matrix:
- Effectiveness (1-10)
- Costs (1-10)
- Time effort (1-10)
- Risk (1-10)
- Sustainability (1-10)
Weighted recommendation
Strategic Problems
Business Model Innovation
Our problem: [Business challenge]
Analyze:
- Status quo
- Market trends
- Customer needs
- Technological possibilities
Develop 3 innovative business model approaches
Process Optimization
Optimize this process:
[Process description]
Identify:
- Bottlenecks
- Waste
- Automation potential
- Quick wins
- Long-term improvements
Technical Problems
Debugging Support
Error: [Error description]
System: [Technology stack]
Context: [What was tried]
Analyze:
- Possible causes
- Diagnostic steps
- Solution proposals
- Prevention measures
Architecture Decisions
Requirements: [List]
Constraints: [Limitations]
Compare architecture options:
- Option A: [Description]
- Option B: [Description]
- Option C: [Description]
Recommendation with justification
Creative Problem Solving
Design Thinking
Challenge: [Problem]
Go through the phases:
1. Empathize: Understand the users
2. Define: Define the problem
3. Ideate: Generate ideas
4. Prototype: Concept development
5. Test: Feedback integration
SCAMPER Method
Product/Service: [Description]
Problem: [Challenge]
Apply SCAMPER:
- Substitute: What to replace?
- Combine: What to combine?
- Adapt: What to adapt?
- Modify: What to enlarge/reduce?
- Put to other uses: Use differently?
- Eliminate: What to remove?
- Reverse: What to reverse?
Decision Support
Decision Tree
Decision: [Description]
Create a decision tree:
- Main decision
- Options (branches)
- Consequences
- Probabilities
- Final recommendation
Risk-Reward Analysis
Options: [List]
For each option:
- Potential benefits
- Possible risks
- Probability of occurrence
- Impacts
- Mitigation strategies
Problem-Solving Tip: Always start with a clear problem definition - a well-defined problem is already half solved.