SKILL.md
Alliance Prioritization
Rank specific, named candidate alliances and technology partnerships against each other, and decide which ones the team invests in. No single canonical ranking method owns this discipline - say so plainly rather than invent one. What the evidence actually supports:
- A dedicated alliance function and structured process is the field's best-validated success driver: 63% vs 50% alliance success across 1,572 alliances (Kale, Dyer & Singh, 2002). A repeatable prioritization process is part of that function.
- Complementarity plus compatibility is the best-validated fit construct: partners different in resources, similar in organizational institutions (Sarkar et al.; Mindruta, Moeen & Agarwal, 2016). Weight these highest.
- Weighted scorecards are known-fragile machinery: rank reversal (Belton & Gear, 1983) and arbitrary weights (Dyer, 1990). The fixes - justified weights, sensitivity analysis, must-pass gates kept outside the tradeable score - are mandatory here, not optional polish.
- The famous "50-70% of alliances fail" figure is unsettled: published estimates span 20-80% depending on how failure is defined, and one credible re-analysis puts it at 25-30%. Never quote it as settled fact.
Interview
Ask before ranking anything. One question per message; offer multiple-choice options; skip whatever the user already answered.