Provaの成果物

マーケターのためのAIビルダー現実チェック

最初の本当に使えるAIプロダクト片を作る準備ができているか、そして今始めたら最初に壊れるものは何かを見極めます。

向いている人Claude Code、Codex、v0、Replitなどを使っているが継続的にリリースできていないマーケター · プロトタイプはあるが、本当のユーザー導線がまだないオペレーター · AIパワーユーザーに留まるか、ビルダーになるかを考えているシニアマーケター · 自分の専門知識を小さなプロダクトや社内ツールに変えたいコンサルタント

英語版Provaへ進む

テンプレート項目

ユーザーと痛みの強い仕事
最初の有用な切り出し
誰かが欲しがっている根拠
現在の成果物またはプロトタイプ
いちばん弱い前提
データまたはワークフローの依存関係
レビュー基準
リリース時のリスク
次の14日間のビルドコミットメント

記入例

A marketer trying to build an internal campaign QA assistant.

下の記入例は英語のままにしています。Provaでは提出された成果物を英語でレビューするためです。

弱い例と強い例

弱い例

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

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

なぜ弱いのか

"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.

強い例

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

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

なぜ機能するのか

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.

汎用AIが見落としがちな点をProvaがレビューします

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

次のステップ

自分の案にフィードバックが欲しい場合、Provaは短い診断から始まります。あなたの役割、目標、最初の相手に合わせてレビュー基準を揃え、その後いまの作業に合うスプリントへ進みます。

Provaは現在、英語のみ対応しています。

送信前に、クライアント名、機密数値、チームが学習・コーチング用のシステムに保存したくない情報を削除してください。

英語版Provaへ進む