Customer effort score software and CES survey tools that show what made the task hard

You ask one question after a task, most often the agreement statement "[Company] made it easy for me to handle my issue," answered on a 1 to 7 scale from strongly disagree to strongly agree. The two main ways to report it are the average score across responses, and the percentage of respondents who chose the top boxes (usually 5, 6 and 7).

The top-box percentage is the more common and more readable form: if 140 of 200 respondents scored 5 or above, your CES is 70 percent. Some teams use a 1 to 5 scale or a numeric-effort version instead, so what matters is picking one format and keeping it consistent, otherwise your trend line is comparing different things.

Reach for CES when your problem is friction in a specific task: users dropping out of onboarding, repeat tickets about the same action, or a self-serve flow that quietly fails. CES points straight at the effort of getting something done, and a high-effort step is unambiguous to act on, which is why support and product teams lean on it.

Use CSAT when you want to know whether a specific experience landed well, and NPS when you want a relationship-level loyalty signal you can trend over quarters. They are not rivals. Most mature teams run all three, because they cost almost nothing to ask, and each answers a different question. The one that breaks is never the choice of metric, it is that nobody reads the open-text answers. Our customer satisfaction survey software page covers how the three fit together.

A CES of 62 percent tells you effort is a problem. It does not tell you that 90 of the low scores describe the same confusing permission step, or that a recent change added a field nobody understands. That explanation is in the free-text follow-up, and in most companies that text is the most valuable and least-read dataset they own.

The reason effort scores so often stall on a dashboard is that reading hundreds of open-ended comments used to be a manual coding job nobody had time for. That constraint is gone. UserInsight clusters the comments into themes automatically, quantifies each one, and links it to where those users actually struggled, so you can move from "effort went up" to "effort went up because of this step, here is the evidence" in minutes.

Yes, and it is where CES becomes genuinely useful rather than just another number. A score on its own tells you a task felt hard; joining it to behavior tells you which task, for whom, and what they did right before they gave up.

UserInsight ties every CES response to the account's activity in the product, so you can see that high-effort responses cluster among users who hit a specific error, or who are on a particular plan, or who reached a step that silently fails. That join turns a survey result into a prioritized fix list: the friction that produces the most effort, for the most valuable accounts, ranked and traced back to the exact sessions and tickets behind it.