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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.