Index

Mental Models

Diminishing Returns

After a certain point, each additional input produces progressively smaller improvements in output.

Diminishing returns signals when to stop optimizing one variable and reallocate effort to where marginal gains are still high.

Core question

Has the next unit of effort here dropped below the value of effort spent elsewhere?

Example

A landing page at 3% conversion improves to 5% with copywriting tweaks, but getting from 5% to 5.5% takes as much effort as the entire first jump. Traffic acquisition may now offer higher returns.

How to apply

  1. 1.Track marginal improvement per unit of effort over time.
  2. 2.Compare current marginal gains against alternatives.
  3. 3.Set a threshold below which you reallocate resources.
  4. 4.Revisit periodically — breakthroughs can reset the curve.

Pitfalls

  • ·Perfecting one area while starving higher-return opportunities.
  • ·Assuming diminishing returns means zero returns — some continued effort may still be worthwhile.
  • ·Quitting too early before capturing the steep initial gains.

Questions

How do you know you have hit diminishing returns?

When the effort-to-improvement ratio starts climbing steeply and comparable effort elsewhere would produce larger gains.

Is diminishing returns the same as a plateau?

A plateau is flat output. Diminishing returns still grow, just more slowly. The distinction matters for deciding whether to continue or stop.

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