Coaching practices for How to Estimate Anything
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For How to Estimate Anything, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I land on a number and just go with it, never pausing to ask what’s the most it could possibly be or the least
- I build my estimate from my own optimistic story first and only glance at how long these things usually take at the very end as a sanity check
- My guesses never seem to get any better because I make them, find out the real answer, and then just move on
- I’m staring at a question that feels totally out of reach, and it never occurs to me that I already know one solid number nearby that I could just scale up or down from
- My answer came out wildly off and I can feel that it’s wrong but can’t spot where
Practices that may help
- Sanity-check against known extremes
Test your estimate against the clearly too-high and too-low bounds to calibrate your range.
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 - 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 what you know and scale from there
Start from a number you are confident about, then reason to the unknown.
Fermi Estimation - Check units and scales for consistency
Catch order-of-magnitude errors by ensuring your units are consistent across the estimate.
Fermi Estimation - Estimate in ranges, not point estimates
Instead of "my estimate is 500," say "I think it is between 200 and 2000."
Fermi Estimation - Log actual vs. estimated time for every task
Build a personal database of your own estimation errors so you can calibrate future predictions.
The Planning Fallacy — Why Your Estimates Are Always Wrong - Watch for anchoring
Recognize when an arbitrary first number is silently dragging your estimate.
Thinking, Fast and Slow, Made Usable - Decompose the unknown into knowable sub-problems
Break the question you cannot answer directly into smaller questions you can.
Fermi Estimation - Decompose complex questions into sub-questions
Break a hard forecasting question into smaller, estimable pieces and aggregate them.
Superforecasting
Related concerns
- Fermi Estimation When Starting Out
Compare your Fermi estimates to actual figures when you can, and use the gap to improve future estimates.
Track your estimates and calibrate
- Units In Estimation
Catch order-of-magnitude errors by ensuring your units are consistent across the estimate.
Check units and scales for consistency
- Bottom Up Estimation
Estimate each sub-task independently, then add them up — the sum is closer to truth than a top-down estimate.
Decompose tasks and sum the pieces
- Fermi Estimation At Work
Fermi estimation is the practice of making rough but principled quantitative estimates by decomposing an unknown into knowable sub-problems, estimating each, and combining them. Named for physicist Enrico Fermi, who was renowned for accurate estimates from minimal data, it is used in science, engineering, and everyday decisions to calibrate intuitions and check whether a number is in the right ballpark — not to achieve false precision.
- Fermi Estimation When Overwhelmed
Fermi estimation is the practice of making rough but principled quantitative estimates by decomposing an unknown into knowable sub-problems, estimating each, and combining them. Named for physicist Enrico Fermi, who was renowned for accurate estimates from minimal data, it is used in science, engineering, and everyday decisions to calibrate intuitions and check whether a number is in the right ballpark — not to achieve false precision.
- How To Estimate Without Data
Start your forecast from the class median, then adjust — do not start from your narrative and adjust to the base rate.
Anchor on the base rate before adding inside-view details
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