Coaching practices for Independent Estimates Aggregation

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Independent Estimates Aggregation, these are the strongest matches in the current practice library.

Does this sound like the set of challenges you might be facing?

• Whenever my team decides anything, the loudest or most senior person’s view just takes over the room and everyone quietly falls in line
• The question is so big and tangled that I just go with my gut and blurt out a number, and it feels like a guess because it is one
• 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
• I tend to blurt out one confident-sounding number and act like it’s solid, when honestly I have no business being that sure
• I glance at the whole thing and go "yeah, a weekend" without ever listing out the actual steps

Practices that may help

1. Use structured team forecasting to aggregate diverse views
   Combine independent estimates from multiple people before the group talks — aggregation beats any single expert.
   Superforecasting
2. Decompose complex questions into sub-questions
   Break a hard forecasting question into smaller, estimable pieces and aggregate them.
   Superforecasting
3. 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
4. Estimate in ranges, not point estimates
   Instead of "my estimate is 500," say "I think it is between 200 and 2000."
   Fermi Estimation
5. Decompose tasks and sum the pieces
   Estimate each sub-task independently, then add them up — the sum is closer to truth than a top-down estimate.
   The Planning Fallacy — Why Your Estimates Are Always Wrong
6. Check units and scales for consistency
   Catch order-of-magnitude errors by ensuring your units are consistent across the estimate.
   Fermi Estimation
7. Sanity-check against known extremes
   Test your estimate against the clearly too-high and too-low bounds to calibrate your range.
   Fermi Estimation
8. 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
9. 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
10. Watch for anchoring
    Recognize when an arbitrary first number is silently dragging your estimate.
    Thinking, Fast and Slow, Made Usable

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