# Multi Method Triangulation

> Apply 2-3 MCDA methods to the same candidates, compare rankings, and identify method-sensitive options.

- Skill: `yogsoth-ai/multi-method-triangulation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/multi-method-triangulation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/multi-method-triangulation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/multi-method-triangulation

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# Multi-Method Triangulation

Score the same set of alternatives using 2-3 MCDA methods, compare ranking differences, identify method-sensitive options, and improve decision robustness.

## Stages

1. **Method Selection** — Select 2-3 complementary MCDA methods
2. **Parallel Scoring** — Score and rank candidates using each method separately
3. **Rank Comparison** — Compute ranking consistency (Kendall tau, Spearman rho)
4. **Sensitivity Identification** — Identify alternatives whose rankings change significantly across methods
5. **Method Sensitivity Report** — Analyze causes of differences and provide recommendations

## Available SOPs

- alternative-scoring — Score alternatives (invoked once per method)
- rank-comparison — Ranking consistency comparison
- method-sensitivity-report — Method sensitivity analysis report

## Execution Guidance

- Method selection should cover different paradigms (e.g., compensatory WSM + non-compensatory ELECTRE + compromise VIKOR)
- All methods use the same criteria and weights; only aggregation logic differs
- Kendall tau > 0.8 indicates high inter-method consistency, results are trustworthy
- tau < 0.6 indicates method choice significantly impacts results, requiring deeper analysis
- Pay special attention to alternatives with ranking differences >= 3 positions
- Final recommendations should clarify which conclusions are method-independent (robust) and which depend on method choice

## Minimum Yield

Ranking comparison across >=2 methods + difference analysis

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| alternative-scoring | Score each candidate alternative against all criteria to produce a score matrix. |
| method-sensitivity-report | Analyze how the choice of MCDA method affects final rankings and identify method-sensitive alternatives. |
| rank-comparison | Compare multiple ranking results to assess agreement and identify divergent items. |

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