yogsoth-ai Strategy: Competitive Scenario
Methodology
Competitive Intelligence Scenario Planning. Predict competitor progress, publication timelines, and methodological breakthroughs that could affect our research positioning. Assess time windows of opportunity and first-mover advantages.
Key principles:
- Actor-based thinking: Model specific competitors and their capabilities
- Publication signals: Use publication patterns to predict future directions
- Time windows: Identify windows of opportunity that may close
- Preemption risk: Assess probability of being scooped or rendered redundant
Execution Flow
Identify competitive drivers → spawn
scenario-driver-identification- Input: research field, known competitors, publication landscape
- Output: competitive uncertainty drivers
Predict competitor moves → spawn
competitive-move-prediction(×3-5 competitors)- Input: competitor profile, publication history, resource level
- Output: predicted actions and timelines per competitor
Project timelines → spawn
timeline-projection- Input: competitor predictions, technology maturity
- Output: competitive timeline with key milestones
Assess impact → spawn
scenario-impact-assessment(per competitive scenario)- Input: competitive scenario, our research approach
- Output: positioning impact, window analysis
Score robustness → spawn
robustness-scoring- Input: all competitive assessments
- Output: competitive robustness index
Synthesize → spawn
scenario-synthesis- Input: competitive scenarios, timelines, robustness
- Output: competitive strategy report
Budget Gate
| Step | Token Budget | Notes |
|---|---|---|
| Driver identification | 8K | Competitor-focused |
| Move prediction | 10K × N | N = 3-5 key competitors |
| Timeline projection | 12K | Multi-horizon |
| Impact assessment | 10K × N | Per competitive scenario |
| Robustness scoring | 8K | Competitive positioning |
| Synthesis | 12K | Strategy recommendations |
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| strategy-robustness-testing | Orchestrates impact assessment and robustness scoring to evaluate research approach resilience across scenarios |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| competitive-move-prediction | Predict competitor progress, publications, and strategic moves |
| robustness-scoring | Compute robustness index across scenarios with sensitivity analysis |
| scenario-driver-identification | Identify key uncertainty drivers using PESTEL framework scanning |
| scenario-impact-assessment | Assess each scenario's impact on the research approach across multiple dimensions |
| scenario-synthesis | Comprehensive scenario analysis report synthesizing all scenario work |
| timeline-projection | Extrapolate research landscape timelines using trend analysis and milestone projection |