Plans are made before
reality finishes answering.

Decisions under uncertainty

Some decisions are difficult because the available information is complicated.

Others are difficult because important information does not yet exist.

In business, leadership and entrepreneurship, people often have to act before customers, markets, competitors or future events have finished answering.

Research on judgement and decision-making has helped describe how people reason under uncertainty, while Naturalistic Decision Making has examined how experienced professionals make decisions in complex real-world environments.

CuePoint starts from a practical constraint:

certainty is often unavailable.

The question therefore becomes what useful decision behaviour is still possible.

FRAME helps define what is actually being decided.

TAKE IN keeps attention open to information that could change the current view.

DECIDE recognises that waiting indefinitely can also carry costs.

CUEPOINT QUESTIONWhat do I need to know now — and what can only be learned by acting?

Bias, judgement and missing information

Work associated with Daniel Kahneman, Amos Tversky and many later researchers has made cognitive biases and heuristics familiar far beyond psychology.

Anchoring, confirmation bias, loss aversion and other patterns describe ways judgement can systematically depart from idealised rational models.

But knowing the name of a bias does not automatically remove it.

CuePoint therefore does not include a process called AVOID BIAS.

Instead, TAKE IN asks for behaviour that makes alternative information more available.

What evidence would challenge the current view?

What information has not been sought?

Whose perspective is missing?

What would make the preferred explanation less convincing?

The aim is not bias-free thinking.

It is to make the current judgement more exposed to reality.

CUEPOINT QUESTIONWhat information would I rather not discover because it would complicate the story I already believe?

Testing assumptions

Plans contain assumptions whether they are written down or not.

A product assumes someone wants it.

A strategy assumes certain conditions will hold.

A hiring decision assumes that available signals predict future work.

A forecast assumes that some parts of the future will resemble the past.

Ideas associated with Customer Development, Lean Startup and business model testing have made assumption-testing a familiar part of entrepreneurship and innovation.

Steve Blank, Eric Ries, Alexander Osterwalder and Yves Pigneur are associated with different approaches to moving business assumptions into contact with customers and observable evidence.

TEST reflects the same practical distinction.

An assumption discussed internally is still an assumption.

Whenever possible, the question is how to expose something important to reality cheaply enough to learn before commitment becomes unnecessarily large.

CUEPOINT QUESTIONWhat is the most important assumption here that reality could help us test?

Decision quality and outcome quality

Good outcomes do not prove that decisions were good.

Bad outcomes do not prove that decisions were bad.

Uncertainty means that luck, timing and events outside anyone's control can influence what happens after a decision.

This distinction matters because otherwise organisations can learn the wrong lesson from results.

A risky decision that succeeds may be celebrated and repeated.

A thoughtful decision that encounters an unlikely negative event may be abandoned.

Decision Maker — Under Uncertainty therefore treats the decision process and the eventual outcome as related but different sources of information.

DECIDE asks whether the choice made reasonable use of what was knowable at the time.

The later result becomes information for UPDATE.

CUEPOINT QUESTIONIf I did not know the outcome yet, how would I judge the quality of this decision?

Updating and changing course

Changing your mind can feel psychologically expensive.

Time, money, reputation and identity may already be invested in the current direction.

Research on sunk-cost effects, escalation of commitment and confirmation processes helps explain why new information does not always produce proportionate changes in behaviour.

But updating does not mean changing direction whenever something goes wrong.

New evidence also has to be interpreted.

UPDATE asks for something more disciplined:

when reality gives sufficient reason to revise the current view, does the decision process allow that revision to happen?

That makes changing course part of the original decision architecture rather than an admission of failure.

CUEPOINT QUESTIONWhat evidence should make us continue — and what evidence should make us change?

Further reading & influences

Decision Maker — Under Uncertainty is a CuePoint synthesis rather than a reproduction of one published decision model.

The Framework has been influenced by recurring themes in research and professional literature, including work associated with:

• Gary Klein — Naturalistic Decision Making and decision-making in real-world environments
• Daniel Kahneman and Amos Tversky — judgement under uncertainty, heuristics, biases and Prospect Theory
• Eric Ries — Lean Startup and Build–Measure–Learn
• Steve Blank — Customer Development and testing assumptions against customers and markets
• Alexander Osterwalder and Yves Pigneur — business model design, assumptions and testing
• broader research on decision quality, feedback, sunk costs, escalation of commitment and learning under uncertainty

Popular discussions of rethinking, including work by Adam Grant, also provide a useful cultural entry point into the idea that changing one’s mind can be a strength rather than a weakness.

These sources illuminate different parts of the decision problem.

They should not be understood as validation of CuePoint’s specific five-process Framework.

CuePoint combines these perspectives into:

The aim is not to remove uncertainty.

It is to keep a small number of useful decision behaviours available while uncertainty is still present.