把一句话需求变成能开发的方案
「加个成员管理，管理员能邀请和移除」——够开工了吗？
Copy the prompt, then pick a model. It plays the interviewer and asks you through it scene by scene instead of handing you the answer.
On a phone with the app installed, the system opens the app directly. Links cannot open external apps inside WeChat — open it in a browser first.
The copied text ends with the answer key the model grades you against. Don't read it yourself first — working it out on your own is the point.
这一份最像日常工作。评审的身份是明天就要写这段代码的人，所以每个问题都问得像「这里我不知道该怎么办」。
第三幕连着抛十个异常路径：重复邀请、链接过期、移除时他正在编辑、最后一个管理员要走、席位满了、邮箱写错了怎么撤回……问完之后有一句：刚才这十个，你事先想到了几个？ 那个数字是这批题里最有信息量的一个。
还有一整幕专门问「不写就会被工程自己决定」的东西：空状态、权限、文案、埋点、数据口径。
What this one tests
This prompt in the repo (the answer key is at the end of that file — you'll see it)
Have you done this one?
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Notes from people who did this one
How to use this
There is no model answer here — but there are definite wrong answers. Only three things make a case hold up, and every prompt's answer key carries a "common wrong answers" section that is more useful than the checklist itself.
The three things that make it hold up
- You can say whose problem this is and what it is — **with evidence** (not "I think users would want it")
- You can say what success looks like — **and what that number is today** (no baseline, no acceptance criteria)
- You can name the cost and what you gave up — **the hardest one to fake**, which is why every prompt hunts for it
How to start
- Pick a question, open it, copy the prompt.
- Paste it into a brand-new conversation — not one where you already discussed it.
- Say nothing. Wait for its first question.
Four commands you can call out at any time
跳过move to the next scene now提示give a direction, not the answer直说吧spell this point out in full, then keep pressing on the trade-offs复盘jump to the wrap-up and print the review card
Three traps
- Don't rush to a solution. More than half the lost points here come from designing before asking — especially describing features before defining what success means.
- Expect to be pushed for numbers. "It'll perform better", "users will like it" get cut off: which metric, what is it today, and when do you look?
- When it starts praising you, point it back to rule five — feeling validated crowds out noticing what you missed.
Start with the north star metric; it underpins everything else. Then pick by what's on your plate: a backlog you can't order → prioritisation; nobody using it or retention sliding → retention and onboarding; need to price something → pricing. Save the experiment review for later, and keep redoing the one about turning a one-line request into a spec — it's the closest to daily work.
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