yogsoth-ai Prospective Hindsight Strategy
Assume the artifact has already failed. Retrospect: what went wrong?
Method
- premortem-facilitation frames the failure assumption
- Each participant generates independent failure scenarios
- failure-mode-extraction structures raw scenarios into failure mode list
- Scenarios are ranked by plausibility and severity
- High-risk items feed into FMEA pipeline (premortem-to-fmea-pipeline tactic)
Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Failure scenarios generated | 8 | 20 | 40 |
| Independent perspectives | 2 | 4 | 6 |
| Screening threshold (severity) | 7 | 5 | 3 |
Orchestration
premortem-facilitation → failure-mode-extraction
→ severity-scoring (rapid screen)
→ [high-severity items] → premortem-to-fmea-pipeline
Subagents
- premortem-facilitation (execute Klein protocol)
- failure-mode-extraction (structure scenarios)
- severity-scoring (rapid severity screen)
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| failure-chain-tracing | Tactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding. |
| premortem-to-fmea-pipeline | Tactic: Pre-mortem rapid screening feeds high-risk items into full FMEA analysis. Bridges fast intuitive generation with systematic structured analysis. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| failure-mode-extraction | Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records. |
| 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. |