Train commute
Ticket price against how long you wait on the platform.
People score each offer here, from a bundled sample or your own files. People pick one offer on the home page and on Analysis.
Run a ready-made study from Quick start or Examples.
Open Report for pie charts, headlines, and preference splits.
Use Design files or Study files when you have your own data.
Bundled design or your own — enter ratings in the browser.
Your dataBundled study or your own — run analysis immediately.
Browse by industry category or show all kits — pick a sample and run it.
Ticket price against how long you wait on the platform.
Monthly price against how fast the coffee arrives.
Nightly rate against distance to the centre.
Monthly fee against how many ads play.
Five phone attributes on a short list.
A short laptop configuration.
The market today, a changed product, and a new entrant.
Price against battery range.
Price against fuel economy.
Ticket price against how long you wait on the platform.
Monthly price against how fast the coffee arrives.
Nightly rate against distance to the centre.
Monthly fee against how many ads play.
Five phone attributes on a short list.
The market today, a changed product, and a new entrant.
Price against battery range.
Price against fuel economy.
A short laptop configuration.
One respondent weights several options. Both studies express preference from rated profiles — Train commute also shows how those weights split as percentages across a fixed choice set; Blueberry phones ranks catalog items by predicted preference.
Smooth split: stronger options attract more preference; results look like realistic percentage splits.
Head-to-head split: each option's share reflects how often it beats others one-on-one — rankings are often similar, percentages differ.
Several respondents — choose a scenario, then see how choices distribute across the panel.