Automatic Thematic Analysis

How Skimle performs automatic thematic analysis on your documents.

Automatic thematic analysis utilizes our "Zero Prompt" approach: you do not need to prompt anything, because Skimle will utilize the inherent structure of the documents to form categories.

The analysis creates a top level category called "Identified Themes", with child categories based on the headings and questions in your documents.

Automatic thematic analysis example

Example output of the analysis, showing a top level category called "Identified Themes", with further categories based on interview questions.

Note: This analysis is ideal when your project documents are structure in a similar way!

Step 1: Identifying themes from your documents

Skimle goes through each of the documents you uploaded, and uses LLM to identify document headings and interview questions.

Step 2: Forming initial categories from cross-cutting themes

Skimle then takes the results of the previous step and forms a set of dozen or fewer parsimonious thematic categories based on the headings and questions identified in the previous step.

Step 3: Extracting insights from your documents

At this stage, Skimle goes through each of your documents and extracts insights based on the top-level themes identified in the previous step.

Step 4: Creating subcategories based on the extracted insights

In the last step, Skimle examines insights assigned to each category and forms subcategories based on the extracted insights.