Causal Layered Analysis
Also known as: CLA, Causal Layered Analysis Method, Inayatullah CLA, Layered Futures Analysis
Causal layered analysis (CLA) is a critical futures method developed by Sohail Inayatullah and set out in his 1998 paper 'Causal layered analysis: Poststructuralism as method.' Rather than forecasting, its aim is to open up the space of possible futures by reading an issue at four levels of depth. The surface 'litany' of headlines and accepted trends sits atop systemic causes, which rest in turn on the worldviews and discourses that legitimate them, all anchored in deep myths and metaphors. By moving down through these layers to expose the assumptions and narratives beneath a problem — and then reconstructing upward from a transformed deep story — CLA produces futures that differ not merely in detail but in their underlying logic.
Key highlights
- Reveals the deep assumptions, worldviews, and myths beneath an issue that surface analysis leaves untouched.
- Generates genuinely alternative futures by transforming the underlying narrative rather than rearranging the present.
- Integrates empirical, interpretive, and critical modes of inquiry within a single, teachable framework.
- Pairs readily with scenario, visioning, and other foresight methods, deepening their analytical reach.
Intuition
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How it works
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When to use it
Use causal layered analysis when an issue is contested, deeply framed, or resistant to surface fixes and you want to understand and transform the assumptions, worldviews, and stories that produce it. It is well suited to critical and transformative foresight, vision and strategy development, policy problems where competing framings clash, and workshops that seek to deepen a group's thinking beyond trends and systems. CLA pairs naturally with scenario and visioning methods, enriching them with layered depth. It is less appropriate when the task is quantitative prediction, when a quick technical answer is needed, or when participants are unwilling to examine their own deep assumptions. Because it works with discourse and metaphor, it demands interpretive skill and reflective participants rather than data and computation.
Strengths & limitations
- Reveals the deep assumptions, worldviews, and myths beneath an issue that surface analysis leaves untouched.
- Generates genuinely alternative futures by transforming the underlying narrative rather than rearranging the present.
- Integrates empirical, interpretive, and critical modes of inquiry within a single, teachable framework.
- Pairs readily with scenario, visioning, and other foresight methods, deepening their analytical reach.
- Outputs are interpretive and qualitative, offering no probabilities, forecasts, or objective validation.
- Effective use requires facilitation skill and reflective participants willing to examine their own assumptions.
- Analysis of worldview and especially myth is subjective and can vary widely between analysts.
- The depth and abstraction of the deeper layers can make results hard to translate into concrete action.
Common pitfalls
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Applications
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Frequently asked
What are the four layers of causal layered analysis?
CLA reads an issue at four levels of depth. The litany is the surface: official, accepted descriptions, headlines, and trends. Beneath it are systemic causes: the social, economic, political, and technological structures that produce the surface condition. Deeper still is the worldview or discourse layer: the ideologies and paradigms that legitimate those systems. At the bottom lies myth and metaphor: the unconscious, archetypal stories a culture lives by. Inayatullah's method moves down through all four to understand a future and then reconstructs upward from a transformed myth to imagine a genuinely different one.
How is CLA different from forecasting or scenario methods?
Forecasting and many scenario methods work largely at the litany and systemic levels, projecting trends or varying drivers. CLA's distinctive contribution is depth: it descends to the worldview and especially the myth-metaphor layer that other methods rarely touch, arguing that the deepest leverage over the future lies in the stories and assumptions that frame it. It is not predictive but transformative and critical, aimed at opening alternative futures by changing the underlying narrative. In practice CLA is often layered onto scenario work, enriching scenarios with the depth they otherwise lack rather than replacing them.
Why does CLA emphasize myth and metaphor so strongly?
Because Inayatullah argues that the deepest, most durable shaping of the future happens at the level of the stories and root metaphors a culture holds, often unconsciously. Systems and worldviews are ultimately animated by these founding narratives, so changing them can ripple upward to reframe everything above. Most analytical methods never reach this layer, which is precisely why it offers the greatest transformative leverage. Working with myth and metaphor requires intuitive, evocative inquiry rather than data, and the payoff is the ability to imagine futures that are fundamentally different rather than incremental adjustments to the present.
Sources
- 1.Inayatullah, S. (1998). Causal layered analysis: Poststructuralism as method. Futures, 30(8), 815-829.
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Cite this page
ScholarGate. (2026, June 23). Causal Layered Analysis. ScholarGate. https://scholargate.app/futures-foresight-studies/causal-layered-analysis