Choice and decision design · Meta-analysis
Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload
Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010). Journal of Consumer Research, 37(3), 409–425.
Plain-English take
The study found a mean effect size close to zero, with substantial variation across conditions. For your marketing: Avoid blanket advice to remove pricing plans or features just to reduce option count.
How much weight to give this
4.5/5 Strong design for its specific question
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
A synthesis can show patterns across studies; its strength depends on the included evidence.
Sample reported (5,036); size alone does not guarantee a representative sample.
No single control group; check inclusion criteria, study quality, and variation across settings.
An accessible full paper or manuscript is linked, making methods easier to check.
Double-blind? Not applicable in the same way as a participant-treatment experiment.
Research question
What the authors investigated
Does offering more options reliably make people less likely to choose or less satisfied?
Design
A quantitative meta-analysis synthesized 63 conditions from 50 published and unpublished studies on choice-set size and choice overload.
Sample and setting
Cross-study synthesis of 63 experimental conditions from 50 published and unpublished studies, involving 5,036 participants; conditions covered varied choice tasks and products.
Reported result
What the study found
The authors report a mean effect size close to zero, with substantial variation across conditions. The evidence did not support a general rule that larger assortments reliably cause overload.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
The pooled average does not show that choice size never matters; heterogeneous tasks and contexts can produce different effects. This is a 2010 synthesis of the literature available at that time, not the last word on choice architecture.
Possible founder application
Avoid blanket advice to remove pricing plans or features just to reduce option count. Define the decision task and test whether complexity, preference uncertainty or decision goals create friction for your own users.
Evidence access
Open author-hosted full paper; publisher article may require access
Publisher bibliographic record and the first author-hosted full paper; sample, pooled result and study variation were checked in the paper text.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.