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請使用六西格瑪的DMAIC來整頓溝通方式。人們沒有被聆聽的主要問題是：他們并沒有以有效和簡潔的方式進行溝通。你是否曾經注意過，當某個人關注某一個話題的時間，語氣是不是不同的？那是因為他們對該話題很熟悉。

When discussing topics socially, why not make a mental roadmap of what you want to convey using the DMAIC template? Now remember, this doesn’t mean sitting there without saying anything because you’re trying to figure out how to use each phase.

在社交場合討論話題時，為何不使用DMAIC的模板制作一個你想要傳達的智慧路線圖呢？請記住：這并不意味著你只是坐在那里默不作聲，因為，你需要搞清楚在每個階段如何使用。

The subject matter could run the gamut, from animal welfare to political solutions for the state of the economy. The subject matter doesn’t matter — what matters is your comprehension on the subject and your solutions or opinions about it and why.

從動物福利到經濟狀況的政治解決方案，這一主題可以涵蓋諸多方面。事實上，主題并不重要-重要的是對主題的理解、解決方案者或意見，以及原因。

Define Phase: Define the subject matter and how it affects others in the process of living life. State how fixing this subject matter would improve the quality of life for others. Collect data （it helps if you’ve read articles on the subject matter）。

定義階段：定義主題，以及其在生活的過程中如何影響到他人。陳述如何解決這一問題，會提高他人的生活質量。收集數據（如果你讀過有關該主題的文章，那將很有幫助）。

Another great tool is the Pareto chart. The Pareto chart was created by Vilfredo Pareto, an Italian economist. The Pareto principle, named after him, is the concept that 20% of input accounts for 80% of output.

帕累托圖，是另一個很不錯的工具。帕累托圖，是由意大利經濟學家維爾弗雷多？帕累托所創建的。帕累托原理，以維爾弗雷多？帕累托的名字而命名，理念是：20%的輸入，占據了80%的輸出。

Measure Phase: Absolutely any data that you have at your fingertips. A quick Google search can help find any Value Stream Map or Cause and Effect Diagram. For example, these could be depicted as Nielsen ratings or graphs on what you are discussing.

測量階段：當然是手頭上的數據。用谷歌快速搜索，就可以幫助我們找到價值流圖或者因果圖。比如，這些正在討論的內容都可以被描述為尼爾森收視率，或者圖表。

Analyze Phase: Using the tools on the Define Phase and Measure Phase, validate your point. Remember, data and analytics don’t lie, they are numbers that validate the current state of the subject matter.

分析階段：使用定義階段和測量階段的工具，去驗證你的觀點。要記住，數據和分析是驗證主題當前狀態的數字，它們是不會說謊的。

Improve Phase: State the best potential solutions that you have found, and again validate your point and why these solutions would work. Show the data you’ve found. You could even hypothesize a scenario.

改進階段：陳述發現的最佳潛在方案，之后，再次驗證觀點，以及這些方案為何管用。將找到的數據展示出來。甚至，我們可以假設某個場景。

Control Phase: Show or tell how you would sustain your new hypothesized solution. Even if you don’t have the actual true data, a well thought out hypothesis based on existing truth of the subject matter will prove your point.

控制階段：展示或者說出如何維持新假設方案。即使沒有真實的數據，但是基于主題真實性的經過深思熟慮的假設，也是可以證明你的觀點的。

In many creative industries or startups, the data that is available is what exists on subjects surrounding the project but not on the actual product or service since it was just invented.