两款免费决策工具
选择适合您的决策方式——两个工具都完全在浏览器中运行。
两两对比排序如何运作
1. 列出您的选项
输入所有需要排序的选项。从产品功能到度假地点，什么都可以。
2. 两两对比
工具每次只展示两个选项，只需选择哪个更重要。
3. 获取排名列表
根据您的选择生成最终排序，告诉您应该优先关注什么。
您想给什么排序？
功能优先级
把杂乱的需求池变成团队有据可依的优先级路线图。
需求池梳理
通过两两对比，快速理清堆积的任务。
团队决策
分享结果链接，几分钟内让整个团队达成一致。
旅行规划
在目的地或行程之间犹豫不决？让两两对决帮您拿定主意。
礼物创意
对礼物选项排序，自信地选出最佳选择。
取名
婴儿名字、团队名称、产品名称——快速找到最受欢迎的。
常见问题
What is pairwise comparison?
Pairwise comparison (also called pairwise ranking) is a decision-making method where you rank a list of items by comparing them two at a time: “Which is more important, A or B?” Repeating this for a series of pairs produces a full ranking of the whole list — far easier than trying to order everything at once.
How many comparisons do I need to rank n items?
Comparing every item against every other takes n × (n − 1) ÷ 2 matchups — 45 comparisons for 10 items. PairwisePro’s quick mode uses an optimized merge-sort strategy that needs only around n × log₂(n) — about 25 comparisons for 10 items — with no loss in ranking quality.
Is pairwise comparison better than a weighted decision matrix?
They answer different questions. A weighted decision matrix scores each option against criteria you rate yourself — good when you know the criteria and can quantify them. Pairwise comparison forces direct between-option judgments, which reduces bias and works when criteria are hard to quantify. PairwisePro offers both tools for free.
Can I use pairwise ranking for product feature prioritization?
Yes — it is one of the most common uses. Product managers paste their backlog or feature list, compare features head-to-head, and get a ranked priority order they can defend in planning meetings. You can also export the results to CSV for your roadmap.
Is PairwisePro free? Do I need an account?
PairwisePro is 100% free and requires no account. Everything runs in your browser — your lists and results never leave your device unless you choose to share a results link.
Can I share my results with others?
Yes. After ranking, click “Share results” to copy a link that anyone can open to see your final ranked list — useful for team decisions, class projects, or settling friendly debates.
来自博客
关于优先级排序与决策的实用指南。
Pairwise vs RICE vs Eisenhower vs Weighted Decision Matrix: Which Should You Use?
Compare the four most popular prioritization methods — pairwise comparison, RICE, Eisenhower Matrix, and weighted decision matrix — by effort, bias resistance, and fit, plus how to combine them.
How Many Pairwise Comparisons Do You Need to Rank N Items?
A plain explanation of pairwise comparison counts: the n(n−1)/2 round-robin formula, the ~n·log₂(n) merge-sort shortcut, tables for 5 to 30 items, and when to trim your list.
How to Build a Weighted Decision Matrix (Step-by-Step Guide)
Learn how to build a weighted decision matrix step by step — criteria selection, weight scales, scoring, and a worked laptop-buying example — plus when to use it instead of pairwise comparison.