做产品 PMaker
空格的键盘
需求池
需求来源KANO用户价值成本排序
保存草稿,防丢反馈 ×7 必备高小 1
汇总视图数据 期望高中 2
批量导出反馈 ×3 期望中小 3
AI 摘要竞品 魅力中大 4
自定义主题色反馈 ×1 无差异低中 砍

一张表就能管住。关键不在工具,在每一列都要能被追问:这个判断是怎么来的。

Backlog and Priority

The point of prioritizing isn't to produce an absolutely correct order — it's to make every cut in line require a reason.

What you will run into
  • 谁的声音大就先做谁的
  • 池子里躺着几十条,越攒越不敢动
  • 做完一版,发现基础的东西还缺着,花哨的先上了

Bucket with KANO First

Five categories — bucket first, then rank. Bucketing answers "should we do it at all"; ranking answers "which one first."

类型有和没有的差别例子与处理
必备型 有了不加分,没有会掉分 支付要安全、内容不能丢。缺一个就是事故,优先补齐
期望型 做得越好,满意度越高 导航的实时路况。资源允许就往上加,是竞争力所在
魅力型 有了惊喜,没有也不失望 播放器的歌词同步。每个版本挑一个,不要贪多
无差异 有没有都没人在意 阅读器的朗读功能。直接砍,别犹豫
逆向型 做了反而招人烦 自动把邮件标为已读。做了要挨骂
Writing "boss's wishes" openly into the formula is the honest part of this algorithm. It does exist; written down it can at least be discussed. Hidden, it will jump the queue under some other name.

Then Apply the Scoring Formula

After bucketing, you still have to rank within each bucket. The value of this formula isn't the precise number — it's that it puts every relevant factor on the table.

优先级 = 需求价值 ÷ 成本 需求价值 用户价值 ×(公司价值 + 战略契合 + 老板意志) 公司价值看四项:用户增长、创造营收、 成本节省、扩展新业务 用户价值是乘数,它是零结果就是零 成本 开发周期 + 技术风险 + 政策风险 一个人用 AI 做产品时,开发周期这一项 大幅缩短,另外两项一点没变 所以现在真正的成本是判断,不是实现
Writing "boss's wishes" openly into the formula is the honest part of this algorithm. It does exist; written down it can at least be discussed. Hidden, it will jump the queue under some other name.

Maintaining the Pool

When you're building solo, this table can shrink to five columns: need, source, scenario, bucket, status. Use whatever tool you like — the point is that every new entry fills these five cells, and anything that can't be filled isn't thought through yet, so don't queue it.