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Choice Overload.

Find the cheapest suitable offer in a small or large fictional catalog.

Interactive experimentintuitiveField note ·
INTERACTIVE EXPERIMENT / P38

Choice Overload

Find the cheapest suitable offer in a small or large fictional catalog.

PLAY & EXPLAIN

Find the cheapest plan with at least 14 storage units and flexible cancellation, within a budget of 30. All offers are fictional; switching catalog size preserves the cheapest qualifying plan.

Catalog size

Choice overload concerns conditions in which larger assortments hinder choice or satisfaction. This task records an actual selection; it does not impose slower responses or assume that more choice always hurts.

No response-time or satisfaction effect is manufactured. Known fictional attributes and a fixed goal omit uncertainty, tastes and actual market offers.

THE SHORT VERSION

Choice Overload, explained.

Choice overload describes conditions in which a larger assortment impairs choice, participation or satisfaction, rather than a universal cost of additional options.

01 / THE MECHANISM

Why it happens

The same cheapest qualifying plan appears in catalogs of four and twelve offers. A storage, flexibility and budget goal supplies an inspectable outcome, while actual selection is recorded without invented delay.

Choice overload describes conditions in which a larger assortment impairs choice, participation or satisfaction, rather than a universal cost of additional options.

Read the result

The objective is an inspectable requirement match. The interface reports selection accuracy without assigning a larger catalog a fictional time or satisfaction penalty.

02 / FOLLOW IT THROUGH

A worked example

Find the same adequate plan in two assortments

  1. Use the goal of at least fourteen storage units, flexibility and price within thirty.

  2. Inspect four or twelve offers, keeping the cheapest qualifying offer D at fourteen in either catalog.

  3. Choose an offer and compare its attributes with the goal before generalising about assortment size.

OPTIONAL DEEPER DETAILGo deeper: inside the model

Inside this model

The same cheapest qualifying plan appears in catalogs of four and twelve offers. A storage, flexibility and budget goal supplies an inspectable outcome, while actual selection is recorded without invented delay.

03 / BEYOND THE EXPERIMENT

Where this idea is useful

A practical use

Offer filters that reflect the user’s decision criteria rather than assuming either fewer or more options always help.

CHECK YOUR INTUITION

A common misconception

THE TEMPTING CONCLUSION

“More options always make a decision worse.”

THE MORE USEFUL DISTINCTION

Larger assortments can help or hinder depending on goals, preferences and organisation. This task supplies a goal rather than presupposing an overload effect.

What this explanation leaves out

  • No response-time or satisfaction effect is manufactured. Known fictional attributes and a fixed goal omit uncertainty, tastes and actual market offers.
ONE MORE QUESTION

Why is there no automatic overload score?

Actual time and satisfaction are not measured here. Manufactured penalties would confuse the concept with an assumed outcome.

TAKE THE IDEA WITH YOU

Which filter corresponds to the criterion that actually governs this decision?

Associated thinkers

Associated withSheena Iyengar ↗

Associations marked provisional are awaiting source review.

Further reading

Explore the original research or the teaching reference behind this experiment.