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Narrative Engineering

How narratives are built, why they work, and what happens when you take them apart. Analyses of organizational, political, and cultural stories — from structure to breaking point.

11 articles

Frequently Asked Questions

What is Narrative Engineering?

Narrative engineering is meta-thinking about how stories construct reality. Rather than living inside a given narrative, this approach disassembles it into components (protagonist, conflict, context, transition), examines where it is accurate and where it distorts, and proposes a reconstructed version that is more truthful, emotionally resonant, and useful. The method is relevant to leaders, founders, journalists, and anyone working with story — personal, organizational, or political.

What is the difference between a story and a narrative?

A story is a sequence of events. A narrative is the interpretation we give to that sequence. The same data can produce different narratives depending on framing, emphasis, and cultural context. Narrative engineering distinguishes between the two to enable conscious framing — instead of being absorbed by the default narrative of a culture, organization, or trauma.

Who is narrative engineering for?

Leaders crafting vision, founders building brand stories, journalists analyzing public discourse, organizational consultants leading change, and individuals working through stuck personal narratives. The tools are the same — the scale changes.

How do you start working with narrative engineering?

Begin by identifying the existing narrative: Who is the protagonist? What is the conflict? What unspoken assumption holds it together? Next, locate the fracture — where the narrative fails to explain the data. Final step: articulate a revised version that holds the facts but opens a new possibility. Articles in this category demonstrate this on real cases.

How does narrative engineering relate to AI?

Large language models are narrative machines — they produce text that works narratively, even when factually inaccurate. Understanding narrative engineering becomes a core skill for working with AI: recognizing when the model is constructing a persuasive story over flawed data, and crafting prompts that steer AI toward accurate narrative.

Who writes the content in this category?

Oz Kabala — Narrative Engineer, advisor, and product builder. Articles are grounded in real case studies, often drawn from advising leaders and organizations through narrative inflection points.