yogsoth-ai Pre-Mortem to FMEA Pipeline Tactic
Rapid pre-mortem screening identifies candidate failures; high-severity items trigger full FMEA deep-dive.
Orchestration
- premortem-facilitation generates failure scenarios (fast, intuitive)
- failure-mode-extraction structures scenarios into failure mode list
- severity-scoring performs rapid severity screen (1-10)
- Items scoring >= threshold pass to FMEA pipeline:
- function-analysis → failure-chain-construction
- occurrence-scoring + detection-scoring
- action-priority-matrix classifies H/M/L
- Low-severity items documented but not analyzed further
Threshold Logic
- Budget S: threshold = 7 (only critical items get FMEA)
- Budget M: threshold = 5 (moderate and above)
- Budget L: threshold = 3 (comprehensive coverage)
Subagents Dispatched
- premortem-facilitation (scenario generation)
- failure-mode-extraction (structuring)
- severity-scoring (screening gate)
- function-analysis, failure-chain-construction (FMEA deep-dive)
- occurrence-scoring, detection-scoring (full scoring)
- action-priority-matrix (classification)
Termination Conditions
- All generated scenarios have been screened
- High-severity items have completed full FMEA cycle
- Action priority assigned to all items above threshold
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| action-priority-matrix | Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables. |
| detection-scoring | Rate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact. |
| failure-chain-construction | Build cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode. |
| failure-mode-extraction | Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records. |
| function-analysis | FMEA Step 3: Decompose artifact into function tree — identify what each component is supposed to do before analyzing how it can fail. |
| occurrence-scoring | Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution. |
| premortem-facilitation | Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight. |
| severity-scoring | Rate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts. |