Customer Effort Score (CES) Calculator
From the sum of response scores and the number of responses, compute the average Customer Effort Score (CES).
輸入資料
計算結果
重點速覽:CES = sum of response scores / number of responses (arithmetic mean). It measures the average effort customers exerted to complete a task (resolve an issue, buy, get service). Core idea: reducing customer friction retains loyalty better than delighting them. WARNING: Interpretation depends on your scale direction (higher=easier vs lower=easier) and range (1-5/1-7/1-10); this tool only averages. Education, not advice.
計算公式
客戶費力度分數 CES = 所有回應分數總和 ÷ 回應數。
$$\text{CES} = \dfrac{\sum \text{Response Scores}}{\text{Number of Responses}}$$使用說明
- Sum all respondents' scores into 'Sum of scores'.
- Enter the number of valid responses.
- View the average CES.
客戶費力度分數 (CES) 計算範例
| 情境 | 分數總和 | 回應數 | CES 平均分 |
|---|---|---|---|
| 基準 | 560 | 100 份 | 5.60 |
| 體驗改善 | 600 | 100 份 | 6.00 |
| 回應數較少 | 560 | 80 份 | 7.00 |
CES = 分數總和 ÷ 回應數 (算術平均)。解讀時須先確認量表方向 (分高越省力 vs 分低越省力) 與範圍 (1-5 / 1-7 / 1-10)。
理財情境案例
案例一:計算客戶費力度分數
某公司在客戶完成客服互動後發出問卷 (量表 1–7 分,分數越高代表越輕鬆省力),收回 100 份有效回應,分數加總為 560。
套用公式:CES = 分數總和 ÷ 回應數 = 560 ÷ 100 = 5.6。
在『分高越省力』的 1–7 量表下,5.6 屬中上,代表多數客戶覺得處理這件事相對輕鬆。但要準確判讀,必須先確認量表方向與範圍 — 若量表是『分低越省力』,同樣的 5.6 就代表偏費力,意義剛好相反。本計算器只做平均,方向由使用者對照自身問卷解讀。
案例二:CES 與 NPS、CSAT 的分工,及平均值的盲點
CES、NPS、CSAT 三個客戶體驗指標側重不同:CSAT 問『你滿意嗎』(即時滿意),NPS 問『你會推薦嗎』(長期忠誠關係),CES 問『這件事讓你費力嗎』(交易/互動的摩擦)。CES 特別適合在客服、退換貨、註冊等流程後即時評估,找出令客戶費力的痛點。
承案例一,若改善流程後分數總和升到 600、回應仍 100 份,CES = 600 ÷ 100 = 6.0,代表費力度下降 (在分高越省力的量表下體驗變好)。
但要警惕平均值的盲點:CES 5.6 可能來自『大家都給中間分』,也可能來自『一半人給高分、一半給低分』的兩極分化 — 兩者平均相同但意義天差地別。因此除了看平均,務必檢視分數分布,尤其關注給出『高費力』評價的客戶,他們是最容易流失的一群。此外,樣本量要足夠、要看趨勢而非單點、並結合開放式回饋找出『為何費力』。本站另有『客戶留存率計算器』與『淨推薦值 (NPS) 計算器』可搭配追蹤客戶體驗。
常見問題
How is CES calculated?
It is simply the mean of all respondents' scores: sum every score, then divide by the number of responses. With 100 responses summing to 560, CES = 5.6. This 5.6 is the average rating of 'how easy/hard it was'. Two things to fix first: the scale range (1-5/1-7/1-10) to judge if 5.6 is high or low, and the scale direction (higher=easier vs lower=easier). This tool only averages; you interpret the direction.
Why use CES, and how is it different from NPS and CSAT?
CES measures effort (friction); NPS measures recommendation intent (long-term loyalty); CSAT measures satisfaction (momentary). Research suggests lowering effort reduces churn more effectively than over-delighting. They are complementary: CES finds friction points, CSAT reflects momentary satisfaction, NPS reflects long-term loyalty.
What should I watch when using and interpreting CES?
Five points: (1) confirm scale direction and range; (2) ensure sufficient sample size; (3) remember the mean hides the distribution — also look at how many gave 'high-effort' scores (they are the churn risk); (4) track trends over time, not single points; (5) pair with open-ended feedback to learn 'why'. This tool gives the average CES; effective improvement needs all of these.
Is a higher CES better or worse?
It depends entirely on your scale design — there is no universal 'good direction'. One common design asks a positive statement (e.g. 'the company made it easy'), so higher = easier = better. The reverse design asks effort directly (1=very little, 7=very much), so higher = more effort = worse. Confirm your scale before judging 5.6 as good or bad, and note the range (1-5/1-7/1-10).
How does CES differ from NPS and CSAT, and which to use?
In one line: CSAT asks 'satisfied?', NPS asks 'would you recommend?', CES asks 'was this effortful?'. CSAT = momentary satisfaction (transaction-level); NPS = recommendation/loyalty (relationship-level, long-term); CES = friction in completing a task (transaction-level, diagnostic). Which to use depends on the question: to find and fix process friction → CES; to gauge momentary satisfaction → CSAT; to track long-term loyalty/word-of-mouth → NPS. They are complementary, not mutually exclusive — many firms track all three.
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參考資料
內容審核:香港計算器財經團隊。計算邏輯與公式參考香港金融管理局(HKMA)及投資者及理財教育委員會(IFEC)之個人理財計算指引,結果僅供參考,實際以相關機構公佈為準。