What is the story of each future? — Shell method narrative construction for rich qualitative scenario understanding
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: narrative-scenario
description: "What is the story of each future? — Shell method narrative construction for rich qualitative scenario understanding"
version: 1.0.0
category: experiment-execution
type: strategy
used-by: scenario-planning
sops:
- scenario-driver-identification
- scenario-narrative-construction
- scenario-impact-assessment
- robustness-scoring
- scenario-synthesis
tactics:
- cross-consistency-filtering
- strategy-robustness-testing
---
# Strategy: Narrative Scenario
## Methodology
Shell Scenario Method (Wack/van der Heijden). Construct rich, internally consistent narratives that illuminate qualitatively different futures. Focus on storytelling that reveals causal mechanisms and decision points rather than exhaustive enumeration.
Key principles:
- **Narrative coherence**: Each scenario tells a believable story with cause-and-effect logic
- **Divergence**: Scenarios must be qualitatively different, not variations on a theme
- **Decision relevance**: Scenarios illuminate choices the research team faces
- **Memorable framing**: Each scenario gets a vivid name that captures its essence
## Execution Flow
1. **Identify drivers** → spawn `scenario-driver-identification`
- Input: research context, planning horizon
- Output: key uncertainty drivers ranked by impact × uncertainty
2. **Select axes** → identify the 2 highest-impact, highest-uncertainty drivers as scenario axes
- Creates a 2×2 matrix of four qualitatively different futures
3. **Construct narratives** → spawn `scenario-narrative-construction` (×4)
- Input: axis position, driver context, research approach
- Output: rich narrative per quadrant
4. **Assess impact** → spawn `scenario-impact-assessment` (×4)
- Input: scenario narrative, research approach
- Output: impact analysis per scenario
5. **Score robustness** → spawn `robustness-scoring`
- Input: all impact assessments
- Output: robustness index
6. **Synthesize** → spawn `scenario-synthesis`
- Input: all scenarios, robustness scores
- Output: final report with strategic implications
## Budget Gate
| Step | Token Budget | Notes |
|------|-------------|-------|
| Driver identification | 8K | PESTEL scan |
| Axis selection | 4K | Ranking and selection |
| Narrative construction | 15K × 4 | Rich storytelling |
| Impact assessment | 10K × 4 | Per scenario |
| Robustness scoring | 8K | Aggregation |
| Synthesis | 12K | Final compilation |
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