> For the complete documentation index, see [llms.txt](https://runningquotient-support.gitbook.io/rq/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://runningquotient-support.gitbook.io/rq/master.md).

# 關於 RQ

<figure><img src="/files/4Xc0xnPQZqpgACNOb19Y" alt=""><figcaption></figcaption></figure>

***RunningQuotient (RQ)*** 是一個專注於跑步科學分析的訓練服務，我們的使命是提供專業的跑步數據分析，幫助跑者與教練能夠快速發現問題所在。

目前市面上有眾多的跑步紀錄網站和 App，但絕大多數都只有呈現跑步數據和統計圖表，許多跑者因為未學過跑步科學所以並無法了解這些數據背後的「意義」。\
RQ 的發想就從這裡開始，我們的任務是從滿山滿谷的大數據中取得真正有價值的資訊，再回饋給廣大的跑者們。

現在只要在 RQ 完成註冊跟正確設定後，並透過穿戴式裝置或手機 App 紀錄跑步數據，我們就會幫助你從龐大的數據中進行過濾與分析，把每一次訓練後的跑步實力、訓練壓力大小、能量系統分布區間等分析出來，最重要的是累積了一段時間後的訓練成果，系統也會替您分析並統計好。

了解自己是改變的第一步，我們的初衷是希望能藉由穿戴裝置的量化功能、網站數據分析，加上專業教練的知識與經驗，幫助跑者更有效率地提升跑步表現，實現心中的目標與夢想。

希望您們會喜歡我們提供的服務，有任何問題也請不吝提出指教！


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