We don’t add new elements often. Each one has to solve a real problem, not just look good in a demo.
Two gaps kept showing up: understanding relative preference (not just “what’s your favorite?”) and collecting structured open input (not paragraphs you clean up later).
Today we’re introducing Ranking and OpenList.
Ranking: Four Ways to Measure Preference
When prioritizing features or comparing ideas, you need more than “what’s your favorite?” You need to know the distance between options, not just the winner.
The Ranking element gives you four methods:
- Drag & Drop - The classic. Fast, intuitive, best for ~5 items or fewer.
- Pairwise Comparison - Show two items at a time. Effortless for respondents, surprisingly rich data. Works well with 6-10 items.
- MaxDiff - The gold standard. Respondents pick the best and worst from small subsets, eliminating “everything is important” bias. Ideal for 10+ items when you need statistical rigor.
- Budget Allocation - Give them points and see where they spend them. Makes trade-offs explicit.
The system picks the right method based on list size, or you can choose manually.
OpenList: No More Paragraph Cleanup
Ask for a “Top 3” in a text box and you’ll get a paragraph with mixed formats and inconsistent ordering. Cleaning that up gets postponed-and usually never happens.
OpenList fixes this. Respondents add multiple structured entries to a single question, each captured separately.
You can require exactly 3 items or allow up to 5. Users can reorder entries after writing them. Whether an entry is a single word or a full paragraph, it stays neatly separated in your data.
Perfect for feature suggestions, pain points, or any “list your top X” question.
Try Them Yourself
We’ve set up two demos:
- Ranking Demo - Try all four ranking methods with a real example
- OpenList Demo - See how structured lists compare to text boxes