Decision Staging is we don't decide once — we narrow, then evaluate, then commit. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0218, within the Decision family. The core principle: we don't decide once — we narrow, then evaluate, then commit. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
We don't decide once — we narrow, then evaluate, then commit.
Plain-English Definition
We don't decide once — we narrow, then evaluate, then commit.
Feynman Explanation
Most of the decision is made before anyone 'decides.'
Core Principle
We don't decide once — we narrow, then evaluate, then commit.
Mechanisms
Pending editorial review.
We don't decide once — we narrow, then evaluate, then commit.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Whoever owns the screen owns the decision.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Most of the decision is made before anyone 'decides.'
Examples
- Buyers screen cars on price, then on brand, then on features — sequentially.
- Whoever owns the screen owns the decision.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
This is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it is straightforward: we don't decide once — we narrow, then evaluate, then commit. You can recognize it in the field by its signature: most of the decision is made before anyone 'decides.'. Every element in the Cognition dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, whoever owns the screen owns the decision. It is amplified whenever whoever owns the screen owns the decision. Inside organizations that shows up as whoever owns the screen owns the decision. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to audit the screening stage; that's where most options die invisibly. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.
Famous Experiments
Pending editorial review.
Design Principles
- Audit the screening stage; that's where most options die invisibly.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Audit the screening stage; that's where most options die invisibly.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
How will I feel about this in 10 minutes / 10 months / 10 years?
Inattention or forgetfulness caused by low attention, hyperfocus, or distraction.
Forgetting to compare an offer with the next-best alternative.
Outcomes that could have happened but did not.
Overthinking a situation so that decision-making stalls.
The first number on the table silently sets the range for every number after it.
Tversky & Kahneman's classic: identical outcomes flip from 'risk averse' to 'risk seeking' when framed as lives saved vs. lives lost.
Our perception is shaped by what we selectively pay attention to.
Favoring suggestions from automated systems over conflicting human judgment.
A color appears different depending on adjacent colors.
Decisions are constrained by available information, cognitive limits, and time.
The ability to focus on one voice in a noisy environment.
Where Decision Staging is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayGoodhart's Law in the Real World
How measurable proxies capture judgment.
- EssayThe Perverse Incentives Hiding in Your KPIs
Cognitive shortcuts turned into scorecards.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
Questions about Decision Staging
- What is Decision Staging?
- Decision Staging is we don't decide once — we narrow, then evaluate, then commit. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0218, within the Decision family. The core principle: we don't decide once — we narrow, then evaluate, then commit. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Decision Staging?
- Whoever owns the screen owns the decision. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0218).
- How is Decision Staging exploited?
- Whoever owns the screen owns the decision.
- How do you design around Decision Staging?
- Audit the screening stage; that's where most options die invisibly.
- Which behavioral dimension does Decision Staging belong to?
- Decision Staging is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Decision", class "Mental Model". Its permanent identifier is HBT-COG-0218 and its evidence grade is B.