---
title: "Problem Solving"
description: "Systematic approach to complex problems with AI"
canonical_url: "https://meingpt.com/en/docs/prompting/23-applications-problem-solving"
language: en
---

# Problem Solving

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.