Innovation & Growth

Reference Class Forecasting

Improves forecast accuracy by anchoring to historical base rates of comparable projects

Rubric Type

probabilistic

Complexity

medium

Extractor

strategy

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • reference class
  • outcome distribution
  • inside view estimate

Best For

ExecutivesProduct ManagersConsultants

How Reference Class Forecasting Works in SolveRight

When you run a decision through SolveRight, Reference Class Forecasting is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 3 key data points from your decision description, then the probabilistic rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where Reference Class Forecastingdisagrees with other methodologies.

Reference Class Forecasting — Frequently Asked Questions

What is Reference Class Forecasting?+
Improves forecast accuracy by anchoring to historical base rates of comparable projects. In SolveRight, Reference Class Forecasting uses a probabilistic rubric to compute a normalized 0–100 score for each option.
When should I use Reference Class Forecasting?+
Reference Class Forecasting is best suited for Innovation & Growth decisions. It evaluates factors like reference class, outcome distribution, inside view estimate, making it valuable when you need exploring new opportunities and creative problem-solving.
How does SolveRight use Reference Class Forecasting?+
SolveRight runs Reference Class Forecasting alongside up to 154 other frameworks simultaneously. The AI extractor identifies 3 key data points from your decision description, then the probabilistic rubric computes deterministic scores. If Reference Class Forecasting disagrees with other frameworks, contradiction detection highlights the divergence.

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