---
pretty_name: OrgStrategy Reasoning 1k (v2)
license: cc-by-4.0
language:
- en
task_categories:
- text-generation
tags:
- business
- strategy
- consulting
- operations
- chain-of-thought
- reasoning
- frameworks
- management
size_categories:
- 1K<n<10K
---

# OrgStrategy Reasoning 1k (v2)

## What This Dataset Is About

This dataset contains **1,000 real-world business strategy scenarios** with structured reasoning chains that teach AI models to apply proven strategic frameworks to complex organizational problems.

### Core Purpose
- **Train models to think strategically** using established business frameworks
- **Provide structured reasoning patterns** for complex problem-solving
- **Bridge the gap** between generic AI responses and domain-specific strategic analysis
- **Enable AI assistants** to provide consultant-quality strategic advice

### Why This Dataset Matters

**The Problem:** Most AI models give generic business advice without applying proven strategic frameworks. They lack the structured thinking that consultants use to solve complex organizational challenges.

**The Solution:** This dataset teaches models to:
1. **Identify the right framework** for each problem type
2. **Apply structured analysis** (problem decomposition, root cause analysis, strategic options)
3. **Generate actionable plans** with owners, timelines, and budgets
4. **Think like a consultant** using proven methodologies

## Dataset Structure

### Columns
- **`prompt`**: Business problem with context (sector, metrics, budget, timeline)
- **`reasoning`**: Structured analysis using the specified framework
- **`solution`**: Actionable implementation plan
- **`framework`**: Strategic framework applied (e.g., "Disruptive Innovation", "Blue Ocean")
- **`scenario_type`**: Problem category (finance, people, process, etc.)

### Framework Distribution
The dataset covers 9 major strategic frameworks:

1. **Competitive Advantage** (124 cases) - Cost leadership vs differentiation strategies
2. **7 Powers** (121 cases) - Scale economies, network effects, switching costs
3. **Lean** (116 cases) - Waste elimination, value stream optimization
4. **Blue Ocean** (115 cases) - Creating uncontested market space
5. **Playing To Win** (110 cases) - 5 strategic choices framework
6. **Five Forces** (108 cases) - Porter's industry structure analysis
7. **Good Strategy** (108 cases) - Diagnosis, guiding policy, coherent actions
8. **Disruptive Innovation** (106 cases) - Christensen's disruption theory
9. **Systems Thinking** (92 cases) - Holistic problem-solving approach

### Scenario Types
- **Finance** (181) - Revenue, costs, profitability challenges
- **People** (176) - HR, talent, organizational development
- **Supply** (175) - Supply chain, procurement, logistics
- **Process** (174) - Operations, workflows, efficiency
- **Customer** (151) - Customer experience, satisfaction
- **Technology** (143) - Digital transformation, IT challenges

## Example Entry

### Prompt
```
Healthcare sector: orders processed worsened from 120units/day to 80units/day because of Cycle time increased due to long queues and poor coordination across departments. Budget: $0.41M. Timeline: 5 months. Apply Disruptive Innovation.
```

### Framework Applied
**Disruptive Innovation** - Focuses on simpler, cheaper solutions that start in overlooked segments and move upmarket

### Reasoning Structure
```xml
<strategic_analysis>
**Framework:** Disruptive Innovation

Disruptive innovation describes how simpler, more affordable solutions initially target overlooked segments and then move upmarket, eventually displacing established products.

**Problem Decomposition:** Cycle time increased due to long queues and poor coordination across departments.

**Organizational Impact:**
- Marketing team: 7 FTEs
- Operations team: 12 FTEs  
- IT team: 5 FTEs

**Root Cause Analysis:**
1. Manual approval processes creating bottlenecks
2. Lack of cross-department coordination
3. Outdated workflow systems

**Strategic Options:**
1. Implement automated workflow system (Disruptive approach)
2. Redesign approval processes (Sustaining approach)
3. Cross-train staff for flexibility (Hybrid approach)
</strategic_analysis>

<action_plan>
1. Deploy automated workflow platform (Owner: IT Director; Timeline: 8 weeks; Budget: $0.15M)
2. Implement cross-department coordination protocols (Owner: Operations Manager; Timeline: 4 weeks; Budget: $0.05M)
3. Train staff on new systems (Owner: HR Director; Timeline: 6 weeks; Budget: $0.08M)
</action_plan>
```

## How Strategic Frameworks Are Applied

Each framework provides a **structured lens** for analysis:

- **Disruptive Innovation**: Simpler, cheaper solutions starting in overlooked segments
- **Blue Ocean**: Eliminate competition by creating new market space
- **Five Forces**: Analyze industry structure (suppliers, buyers, substitutes, new entrants, rivalry)
- **7 Powers**: Identify structural advantages (scale, network effects, switching costs)
- **Lean**: Eliminate waste and optimize value streams
- **Systems Thinking**: View problems holistically across interconnected parts
- **Competitive Advantage**: Choose between cost leadership and differentiation
- **Playing To Win**: Make 5 strategic choices (aspiration, where to play, how to win, capabilities, systems)
- **Good Strategy**: Diagnose, create guiding policy, design coherent actions

## Intended Uses

### Primary Applications
- **Train strategic reasoning models** for business consulting
- **Fine-tune LLMs** for structured problem-solving
- **Develop AI consultants** that apply proven frameworks
- **Create strategic planning assistants** for organizations

### Research Applications
- **Study framework application patterns** across different problem types
- **Analyze reasoning chain effectiveness** in strategic decision-making
- **Develop evaluation metrics** for strategic reasoning quality
- **Compare framework performance** across scenarios

## Usage Examples

### Basic Loading
```python
from datasets import load_dataset

# Load the dataset
ds = load_dataset("Wildstash/OrgStrategy-Reasoning-1k-v2", split="train")
print(f"Dataset size: {len(ds)}")
print(f"Columns: {ds.column_names}")
```

### Filter by Framework
```python
# Get all Disruptive Innovation cases
disruptive_cases = ds.filter(lambda x: x['framework'] == 'Disruptive Innovation')
print(f"Disruptive Innovation cases: {len(disruptive_cases)}")

# Get all Blue Ocean Strategy cases
blue_ocean_cases = ds.filter(lambda x: x['framework'] == 'Blue Ocean')
print(f"Blue Ocean cases: {len(blue_ocean_cases)}")
```

### Filter by Scenario Type
```python
# Get finance-related scenarios
finance_cases = ds.filter(lambda x: x['scenario_type'] == 'finance')
print(f"Finance scenarios: {len(finance_cases)}")

# Get process optimization cases
process_cases = ds.filter(lambda x: x['scenario_type'] == 'process')
print(f"Process scenarios: {len(process_cases)}")
```

### Training Example
```python
# Example training loop for strategic reasoning
for example in ds:
    prompt = example['prompt']
    reasoning = example['reasoning'] 
    solution = example['solution']
    framework = example['framework']
    
    # Use this for fine-tuning your model
    training_example = {
        "instruction": f"Apply {framework} framework to solve this business problem: {prompt}",
        "response": f"{reasoning}\n\n{solution}"
    }
```

### Evaluation Example
```python
# Evaluate model's framework application
def evaluate_framework_usage(model_output, expected_framework):
    return expected_framework.lower() in model_output.lower()

# Test on a sample
sample = ds[0]
model_response = your_model.generate(sample['prompt'])
framework_correct = evaluate_framework_usage(model_response, sample['framework'])
```

## Dataset Quality

### Validation
- **Framework consistency**: Each entry applies the specified framework correctly
- **Reasoning structure**: Structured analysis follows consistent patterns
- **Actionability**: Solutions include owners, timelines, and budgets
- **Diversity**: Covers multiple sectors, problem types, and frameworks

### Limitations
- **English only**: All content is in English
- **Business focus**: Primarily corporate/organizational scenarios
- **Framework scope**: Limited to 9 major strategic frameworks
- **Synthetic elements**: Some scenarios may be constructed for training purposes

## Citation

If you use this dataset, please cite:

```bibtex
@dataset{wildstash_orgstrategy_2025,
  title={OrgStrategy Reasoning 1k (v2): Business Strategy Scenarios with Structured Reasoning},
  author={Wildstash},
  year={2025},
  url={https://huggingface.co/datasets/Wildstash/OrgStrategy-Reasoning-1k-v2},
  license={CC-BY-4.0}
}
```

## License
CC-BY-4.0 - You are free to use, modify, and distribute this dataset for any purpose.