Obsidian Data Mapping Methodology
Most knowledge management tools optimize for storage. The Constellation Method optimizes for cognition, treating Obsidian as a data processing pipeline where the input stream is raw thought and the output stream is actionable insight.
An analysis of the Constellation Method as a data science system implemented in Obsidian, evaluating its technical depth, psychological alignment with ADHD cognitive patterns, and strategic value for knowledge workers. Covers the input/output stream framework, Obsidian's capabilities as a data mapping platform, and how the methodology turns personal knowledge management into a measurable, repeatable system.
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Your expertise lives in your head, and that is exactly the problem. A framework for turning domain knowledge into structured, AI-ingestible systems that think alongside you.
Your ADHD brain scatters thoughts across mental space like stars. AI systems process information through parallel pipelines that lose coherence without orchestration. The parallels are not metaphorical. They are architectural.
Customer insights are not spreadsheet rows. They are a network of pain points, motivations, and contradictions that only reveal patterns when you stop forcing them into linear formats.
Most knowledge management tools optimize for storage. The Constellation Method optimizes for cognition, treating Obsidian as a data processing pipeline where the input stream is raw thought and the output stream is actionable insight.
How a data model designed for non-linear thinkers turns unstructured inputs into emergent knowledge patterns