Tactic: Strategy Robustness Testing
Orchestration Pattern
Spawn impact assessment →
scenario-impact-assessment(per scenario)- Pass: scenario narrative, research approach description, evaluation dimensions
- Receive: multi-dimensional impact analysis per scenario
Validate impact assessments
- Check: All evaluation dimensions covered?
- Check: Impact ratings justified with reasoning?
- Check: Assessments distinguish between scenarios (not all identical)?
- If validation fails: re-spawn with clarified criteria
Compile assessment matrix
- Rows: scenarios
- Columns: evaluation dimensions (feasibility, relevance, competitive position, resource needs, timeline)
- Cells: impact ratings (1-5 scale)
Spawn robustness scoring →
robustness-scoring- Pass: compiled assessment matrix, scenario probabilities, weighting preferences
- Receive: robustness index, sensitivity analysis, pivot triggers
Validate robustness results
- Check: Index is well-calibrated (not always 50 or always 90)
- Check: Pivot triggers are specific and measurable
- Check: Sensitivity analysis identifies which scenarios matter most
- If validation fails: re-spawn with recalibrated inputs
Identify contingencies
- For each scenario where robustness < 50: define contingency action
- For each pivot trigger: define monitoring mechanism
- Compile into actionable contingency plan
Quality Checks
- Every scenario has a complete impact assessment
- Robustness index reflects genuine variation across scenarios
- Pivot triggers are observable and measurable
- Contingency actions are specific and feasible
- Results distinguish between "adapt" and "abandon" thresholds
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| robustness-scoring | Compute robustness index across scenarios with sensitivity analysis |
| scenario-impact-assessment | Assess each scenario's impact on the research approach across multiple dimensions |