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Prova 产出物
面向营销人员的 AI Builder Reality Check
判断你是否已经准备好构建第一个真正有用的 AI product slice,并找出如果现在开始,最先会坏在哪里。
模板字段
- User and painful job
- First useful slice
- Proof that someone wants it
- Current artifact or prototype
- Weakest assumption
- Data or workflow dependency
- Review standard
- Launch risk
- Next 14-day build commitment
填写示例
下面的填写示例保留英文,因为 Prova 会用英文评审提交的 artifact。
A marketer trying to build an internal campaign QA assistant.
弱版本 vs 强版本
弱版本
| User | Marketing team |
|---|---|
| First useful slice | AI assistant for campaign QA |
| Proof | Everyone says QA is annoying |
| Weakest assumption | Need better prompts |
| Launch risk | Bugs |
| 14-day commitment | Build MVP |
为什么不够好
- "Marketing team" is not a user.
- "AI assistant" is too broad.
- The proof is hearsay, not behavior.
- The weakest assumption ignores source data, approval rules, and workflow ownership.
- "Build MVP" is not a commitment.
强版本
| User | Paid media manager checking campaign launch settings before client approval |
|---|---|
| First useful slice | A checklist reviewer that compares campaign setup notes against required client launch rules |
| Proof | Two managers already use a manual spreadsheet before every launch; mistakes still reach strategist review |
| Current artifact | One sample launch checklist, three anonymized campaign setup notes, and one failed QA example |
| Weakest assumption | The checklist rules are explicit enough for AI to evaluate without platform access |
| Data/workflow dependency | Client launch rules, platform screenshots, naming conventions, approval owner |
| Review standard | Flag missing budget, geo, naming, tracking, claim, and approval evidence; never approve launch automatically |
| Launch risk | False confidence before a client-visible campaign goes live |
| 14-day commitment | Build a reviewer for one client and one platform, then test against five past launch packets |
为什么有效
- The user is specific.
- The first slice is constrained.
- Proof comes from an existing workflow.
- Launch risk is clear.
- The commitment creates evidence, not just more code.
Prova 会评审泛用 AI 经常漏掉的部分
- Whether the first useful slice is still too large
- Whether the user is real or imagined
- Whether there is proof beyond personal excitement
- Whether the artifact standard exists before the build starts
- Whether the hard part is product judgment, data access, approval, or implementation
- Whether the next step should be reality check, build brief, build plan, execution lane, or launch gate
下一步
想获得对自己版本的反馈?Prova 会先用一个简短 assessment,让 review 标准与你的角色、目标和第一批受众一致。之后你会进入适合当前工作的 sprint。
Prova 目前仅提供英文版。
提交前:请移除客户姓名、机密数字,以及任何团队不希望存入 training 或 coaching system 的信息。
前往英文版 Prova