Datasets:

Alogotron
/

game-theory-business-strategy

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[ { "role": "user", "content": "[Channel Strategy] In APAC, should we build a direct enterprise sales team or rely on partner distributors to scale? Given: Direct CAC = $85k, LTV = $420k, GM = 0.65; Partner CAC = $18k, LTV = $210k, GM = 0.55; 24-month contracts; we can hire up to 12 direct reps in year 1." ...
[ { "role": "user", "content": "[AI Capability] We're evaluating whether to acquire a niche AI analytics startup for $120m or to build in-house. Acquisition target synergy expected at $260m over 5 years; integration costs estimated at $40m. Internal build costs $180m over 5 years with expected uplift of $150m...
[ { "role": "user", "content": "[Operations] Outsource non-core manufacturing to a contract manufacturer vs insource with capex. Outsource: annual cost $22m; downtime/quality risk adds $3m/year in losses. Insourcing: capex $70m; annual operating cost $14m; 5-year horizon." }, { "role": "assistant", ...
[ { "role": "user", "content": "[Global Expansion] Enter EU market via a wholly-owned subsidiary vs regional licensing with a strong partner? EU TAM estimated at $120m/year; direct margins 50%; licensing margins 25%; subsidiary capex $25m; annual OPEX $6m; regulatory/compliance cost baked in." }, { "r...
[ { "role": "user", "content": "[Product Strategy] Allocate budget between reducing technical debt (pay down core platform debt) and building new features to drive growth. Tech debt payoff costs $4m over 12 months; expected maintenance savings 2m/year thereafter. New features cost $6m and are expected to driv...
[ { "role": "user", "content": "[Pricing] Should we switch to value-based pricing for enterprise customers or maintain cost-plus pricing? Current ARPU is $1,000/month with a 25% gross margin; enterprise segment potential $3–5k ARPU/month with higher support costs; price sensitivity is moderate." }, { ...
[ { "role": "user", "content": "[Sustainability/ESG] Invest in a comprehensive sustainability program vs incremental improvements to reduce risk and appeal to ESG-focused customers." }, { "role": "assistant", "content": "Thesis (Comprehensive): Large upfront investment yields long-term brand equit...

⚠️ DEPRECATED — Game Theory Business Strategy

This dataset has been superseded by GameTheory-Formulator, which contains 1,215 real-world scenarios across 6 domains (including 220 business scenarios) with full formulation steps, solutions, and interpretations.

Migration

Please use the newer, more comprehensive dataset:

from datasets import load_dataset

# New dataset (recommended)
ds = load_dataset("Alogotron/GameTheory-Formulator", split="train")

# Filter for business scenarios specifically
business = ds.filter(lambda x: x["domain"] == "business")
print(f"Business scenarios: {len(business)}")  # 220 scenarios

Why Migrate?

Feature	This dataset	GameTheory-Formulator
Size	~50 examples	1,215 examples
Domains	Business only	6 domains (business, security, tech, politics, social, auctions)
Formulation steps	❌	✅ Step-by-step reasoning
Solution concepts	Basic	9 types (Nash, BNE, SPE, Shapley, etc.)
Interpretation	❌	✅ Real-world meaning
Part of pipeline	Standalone	✅ Phase 3 of Alogotron Game Theory Pipeline

Original Description

This was an early prototype dataset of business strategy scenarios formulated as game theory problems. It has been fully absorbed into and expanded by the GameTheory-Formulator dataset.

⚠️ DEPRECATED — Game Theory Business Strategy

Migration

Why Migrate?

Original Description

Links