> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/agentneo/metric-library/goal-decomposition-efficiency.md).

# Goal Decomposition Efficiency

Find out how well the agent pipeline is able to divide the complex task into manageable chunks and how well the task is delegated

#### Objective

This metric evaluates the efficiency and effectiveness of an AI system's ability to break down complex goals into manageable sub-tasks. It measures how well the AI decomposes a goal in a way that facilitates successful and efficient task execution.

#### Interpretation

A score closer to 1.0 indicates that the AI consistently creates optimal and efficient sub-tasks that lead to the successful accomplishment of the original goal. A score closer to 0.0 suggests that the AI's decomposition process is inefficient or ineffective, potentially hindering the achievement of the goal.

#### Syntax

```python
# Goal Decomposition Efficiency
response = experiment_manager.execute(
    metrics=[
        {"name": "goal_decomposition_efficiency", "config": {"model": "gpt-4o-mini"}}
    ]
)
```