> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peakmetrics.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Narrative Layers

> Narrative layers provide multiple levels of granularity within narratives, making it easier to analyze and interpret the information in your workspace. This feature offers both a big-picture view and the ability to drill down into specific details.

## How Do Narrative Layers Work?

### Layer Breakdown:

1. **High-Level Layer** – **Most Consolidated**

* **Description:** This layer captures the broadest and most abstract themes of a narrative, reflecting overarching storylines or societal-level discourses. It is driven by long-term patterns in communication and public discourse, such as geopolitical tensions or climate change debates.

* **Use Case:** Best for executive summaries or strategic insights where understanding general trends or societal movements is more important than granular details.

2. **General Layer**

* **Description:** The General layer provides a mid-level view, connecting related discussions or topics within the broader high-level theme. It consolidates a wide range of mentions into cohesive thematic groupings.

* **Use Case:** Useful for content analysts or communication strategists who track developments, subtopics, or clusters of viewpoints over time.

3. **Detailed Layer**

* **Description:** The Detailed layer dives deeper into the narrative by grouping mentions that share specific attributes, such as similar keywords, tone, or framing. This layer may focus on concrete sub-events or consistent messaging patterns, offering a finer understanding of how the narrative unfolds.

* **Use Case:** Ideal for researchers or media intelligence teams who need to analyze how different actors frame an issue, compare sentiment, or track consistent messaging patterns across sources.

4. **Specific Layer** – **Most Granular**

* **Description:** The Specific layer is the most granular, focusing on individual mentions or small clusters of data points. These could include a viral tweet, a news article about a specific incident, or a recurring phrase in a niche community.

* **Use Case:** Best for identifying isolated but potentially high-impact data points that may be overlooked in broader analyses.

***

## Why Use Narrative Layers?

* **Manage Large Workspaces:** Narrative layers allow you to manage large, complex workspaces with hundreds of narratives.

* **Seamless Toggling:** Toggle between broad and detailed views with ease, ensuring you can drill down into the specifics or zoom out for the big picture as needed.

* **Efficient Data Organization:** Layers preserve all generated narratives while organizing them into a structured format, enabling streamlined analysis and reporting.

***

## Default Narrative Layers

Narrative layers use an **auto-level detection based on the number of mentions** in a workspace.

> **10k mentions → Level 4**

**50k mentions → Level 3**

**100k mentions → Level 2**

**>100k mentions → Level 1**

In addition to auto-detection and the ability to toggle between layers, we now allow users to set a **default layer** within the app. This feature eliminates the need to constantly switch between layers and ensures that your workspace always opens with your preferred level of detail.

![](https://6209543.fs1.hubspotusercontent-na1.net/hubfs/6209543/image-png-May-01-2025-12-13-25-9866-AM.png)

***

## Workflow to Test Narrative Layers

1. **Open a Workspace:** Navigate to a workspace you are familiar with.
2. **Explore the Layers:** Start with Layer 3 (the most granular) and toggle through the layers to observe how the number of narratives decreases at higher layers.
3. **Compare Narrative Shifts:** Analyze how the narratives shift in terms of detail and consolidation as you move from Layer 3 to Layer 0.