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Knowledge Base

Knowledge Base

The definitive knowledge base for the prediction market ecosystem. A curated collection of guides and insights for everyone from beginners to market veterans.

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Knowledge Base

Corporate Prediction Markets and Forecasting

Internal markets that forecast delivery, revenue, and execution risk.

Corporate prediction markets are internal markets where employees trade contracts on company-relevant questions. The goal is not entertainment; it is better forecasting for planning, execution, and risk management.


What Companies Forecast

Typical internal market questions include:

  • Will Project X ship by date Y?
  • Will revenue exceed target Z this quarter?
  • Will a bug count drop below threshold by deadline?
  • Will a key account renew by month-end?

These questions are usually tied to operational decisions, not public PR.


Why It Works Inside Organizations

Internal prediction markets can outperform meetings and status decks because:

  • Information is distributed across teams, and markets pull it into one signal
  • Incentives can reduce optimism bias and political reporting
  • Prices update as real blockers emerge (hiring delays, compliance, engineering risk)

Design Choices That Matter

If you ever build or reference corporate markets, these choices drive quality:

  • Participation: enough traders with relevant context
  • Anonymity: reduces fear of being honest about risk
  • Incentives: rewards accuracy, not cheerleading
  • Question quality: clear, measurable, and time-bound
  • Governance: who sets questions, who resolves outcomes, how disputes work

Limitations

Corporate markets are not magic either:

  • If participation is low, the market becomes noise
  • If incentives are weak, people will not trade seriously
  • If leadership punishes bad news, traders will avoid expressing bearish views even anonymously
  • Some outcomes are hard to define objectively, which harms trust

Key Takeaways

  • Internal markets are about decision support, not gambling.
  • Question quality and incentives matter more than fancy mechanics.
  • The best use case is forecasting execution risk where leadership needs the truth fast.