Coaching practices for Forecast Revision Practice
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Forecast Revision Practice, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- New information keeps arriving that should obviously move my estimate, but I just cling to the date I first committed to
- Once I’ve made up my mind I dig in and won’t budge until I’m absolutely certain I was wrong
- Each project wraps up and I move straight on without ever writing down what I’d guessed versus what actually happened
- I commit to one confident number
- My real decisions take months to resolve and matter too much for me to score them honestly, so I never get clean reps
Practices that may help
- Update your forecast incrementally as new evidence arrives
Treat your forecast as a probability that should shift with each new piece of evidence, not a commitment that survives contradiction.
Reference Class Forecasting - Reference Class Forecasting
Reference class forecasting, developed by Daniel Kahneman and Amos Tversky and formalized by Bent Flyvbjerg, improves forecast accuracy by anchoring on the statistical distribution of outcomes for similar past projects rather than on the details of the current one. The method reliably corrects the optimism bias that inflates cost, time, and benefit estimates in planning — the evidence base here is real and specific. - Update beliefs frequently and in small increments
When new evidence arrives, adjust your probability estimate — even if the change is small.
Superforecasting - Conduct post-project debriefs to contribute to the class data
Record actual vs. forecast outcomes honestly — this builds the reference class that future forecasts depend on.
Reference Class Forecasting - Forecast a distribution, not a point estimate
Represent your forecast as a range of likely outcomes, not a single predicted number.
Reference Class Forecasting - Build calibration reps with low-stakes trivia and almanac questions
Use factual trivia questions as a practice ground for calibration — outcomes resolve immediately and the stakes are zero.
Calibration Training - Track your estimates and calibrate
Compare your Fermi estimates to actual figures when you can, and use the gap to improve future estimates.
Fermi Estimation - Anchor on the base rate before adding inside-view details
Start your forecast from the class median, then adjust — do not start from your narrative and adjust to the base rate.
Reference Class Forecasting - Treat forecasting accuracy as a skill that improves with practice
Take prediction errors as performance feedback, not as proof that forecasting is futile.
Superforecasting - Distinguish cognitive optimism bias from strategic misrepresentation
Recognize that some forecast inflation is genuine bias and some is deliberate spin — they require different fixes.
Reference Class Forecasting
Related concerns
- Forecast Revision
Treat your forecast as a probability that should shift with each new piece of evidence, not a commitment that survives contradiction.
Update your forecast incrementally as new evidence arrives
- How To Make Better Forecasts
Record actual vs. forecast outcomes honestly — this builds the reference class that future forecasts depend on.
Conduct post-project debriefs to contribute to the class data
- Superforecasting On A Budget
Philip Tetlock’s forecasting tournament research found that a subset of ordinary people — "superforecasters" — consistently outperform domain experts and intelligence analysts at probabilistic prediction. They share measurable cognitive and behavioral habits: they think in probabilities, update frequently on evidence, and actively seek disconfirming information. These habits are learnable.
- Decompose Forecasting Question
Break a hard forecasting question into smaller, estimable pieces and aggregate them.
Decompose complex questions into sub-questions
- Deliberate Practice Forecasting
Take prediction errors as performance feedback, not as proof that forecasting is futile.
Treat forecasting accuracy as a skill that improves with practice
- Goal Vs Forecast
Represent your forecast as a range of likely outcomes, not a single predicted number.
Forecast a distribution, not a point estimate
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