Work out your customer effort score (CES) as an average of 1 to 7 responses or as the percent of favorable answers. Free, no sign-up.
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Four survey results worked through with both methods.
100 responses to "The company made it easy for me to handle my issue", 1 to 7.
Ratings 1 to 7: 2, 3, 5, 10, 20, 30, 30.
The weighted total is 553, so CES = 553 / 100 = 5.53 out of 7. That is low effort.
Your survey tool reports how many people answered 5, 6 or 7.
80 favorable responses out of 100.
80 / 100 x 100 = a CES of 80% favorable.
Two teams that both average 5.0.
Team A: everyone answers 5. Team B: half answer 7 and half answer 3.
Both average 5.0, but Team A is 100% favorable and Team B is 50% favorable. Look at the spread as well as the mean.
A first run of the survey after a help center redesign.
12 responses, 9 of them 5 or higher.
9 / 12 = 75% favorable. With only 12 answers, one customer moves the score by about 8 points, so wait for more data before drawing conclusions.
General rules of thumb. Survey wording, timing and channel all shift what a typical score looks like.
The average and the percent favorable are both common ways to report CES, and they give different numbers. Choose one, write it down, and compare only against your own earlier results.
As a rough rule of thumb, an average above 5.5 suggests customers rarely struggle and below 4.5 points to friction worth fixing. Treat these as guides, not industry standards.
CES works best as a transactional survey sent straight after a support conversation or a task like checkout or a return. Waiting days blurs what the customer is scoring.
A 1, 2 or 3 almost always comes with a reason. Add one optional comment box and group the comments by theme, such as slow replies, repeating yourself or unclear policies.
Bund AI answers your customers on web chat and email in seconds, from your own help content, and passes anything it can't handle to your team with the full conversation, so nobody has to repeat themselves.