NarraTectAdvisory · 敘構顧問

敘事準備度診斷Narrative Readiness Diagnostic

AI 導入失敗的原因,多半不在技術,而在敘事:組織是否說得清楚為什麼要變、變成什麼樣、誰會受影響。這份 15 題自我評估,沿五個維度為你的組織做一次體檢。基本版(前 5 題)開放使用;完整剖面以邀請制開通。作答內容只留在你的瀏覽器,不會上傳。 When AI adoption fails, the cause is rarely the technology — it is the narrative: whether the organization can say clearly why it is changing, into what, and who is affected. This 15-question self-assessment checks your organization along five dimensions. The basic tier (first 5 questions) is open; the full profile unlocks by invitation. Your answers stay in your browser and are never uploaded.

FULL ACCESS · 完整版已開通full profile unlocked

§ 01 · Basic Tier 基本版
Q-01如果請三位主管各自用一句話說明「為什麼要導入 AI」,答案會一致嗎?If three of your managers each explained "why we are adopting AI" in one sentence, would the answers match?
Q-02你們有沒有一條「導入前」的基線數據——例如處理一件事現在要花多久?Do you have a pre-adoption baseline — for example, how long a task takes today?
Q-03第一線同仁聽到「AI 導入」時,最常見的反應是什麼?When frontline colleagues hear "AI adoption," what is the most common reaction?
Q-04上一個大型變革專案結束後,留下了什麼?After your last major change program ended, what remained?
Q-05你們現在有沒有任何一條「AI 輔助」的日常工作流程?Is any of your daily work already running through an AI-assisted workflow?
§ 02 · Full Profile 完整剖面
Q-06導入的目標,是否已翻譯成每個部門「自己的語言」?Has the adoption goal been translated into each department's own language?
Q-07「成功」有沒有被定義成可以量測的指標?Is "success" defined as something measurable?
Q-08組織內部的重要訊息,通常怎麼傳到第一線?How do important messages usually reach the front line?
Q-09誰負責把新工具「教會」大家?Who is responsible for teaching new tools to everyone?
Q-10當專案顧問或供應商離場後,知識會留下來嗎?When consultants or vendors leave, does the knowledge stay?
Q-11資料的取得與品質,誰說了算?Who owns data access and data quality?
Q-12高階主管自己用 AI 工具嗎?Do your senior leaders use AI tools themselves?
Q-13變革的節奏,是專案式的衝刺,還是有長期的節拍?Is change run as one-off sprints, or with a long-term cadence?
Q-14失敗的嘗試,在你們組織會發生什麼事?What happens to failed experiments in your organization?
Q-15如果明天預算砍半,這個導入計畫會活下來嗎?If the budget were halved tomorrow, would the adoption program survive?

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