Plain-language questions
Ask for Customer Effort Score (CES) per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Customer service
The Customer Effort Score (CES) measures how much effort a customer had to put in to get a question resolved or complete a task, such as registering a return or requesting an invoice. After the contact, customers respond to a statement like 'It was easy to get my issue resolved' on a scale, often from 1 to 7. The score is the average, or the percentage of customers who agree.
Sum of all scores ÷ number of responses (average), or responses scoring 5–7 ÷ total responses × 100% (on a 1 to 7 scale)
In March Acme Groothandel asked customers after every closed returns ticket whether it had been easy to arrange the return, on a scale of 1 to 7. It received 300 responses with a total of 1,650 points. Average CES is 1,650 ÷ 300 = 5.5.
Fictitious figures for Acme Groothandel, a sample wholesaler.
With a statement about ease, a higher CES means less effort for the customer. Watch the direction of the scale: some surveys ask about effort, where a lower score is better. CES is most useful for comparing processes, such as returns, ordering and invoice queries, and for measuring the effect of a process improvement.
SQL & DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
SELECT date_trunc('month', responded_at)::date AS month,
COUNT(*) AS responses,
ROUND(AVG(score), 2) AS avg_ces,
ROUND(100.0 * COUNT(*) FILTER (WHERE score >= 5) / NULLIF(COUNT(*), 0), 1) AS easy_pct
FROM surveys
WHERE type = 'ces'
AND responded_at >= current_date - interval '12 months'
GROUP BY 1
ORDER BY 1;CES Responses = CALCULATE(COUNTROWS(Surveys), Surveys[Type] = "ces")
Avg CES = DIVIDE(CALCULATE(SUM(Surveys[Score]), Surveys[Type] = "ces"), [CES Responses])In ENABLE
Ask for Customer Effort Score (CES) per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Add up all the scores and divide by the number of responses, or calculate the percentage of responses in the top categories. With 300 responses totalling 1,650 points on a 1 to 7 scale, average CES is 5.5.
CES measures how easy something was, CSAT how satisfied the customer is with a moment and NPS how likely they are to recommend you. CES and CSAT relate to a specific contact or process, NPS to the relationship as a whole.
A common form is the statement 'The company made it easy for me to handle my issue', answered from strongly disagree to strongly agree. Keep the question and scale the same so you can compare scores over time.
In an online demo we show how ENABLE makes your data securely available and how you build on it: describing an app in the AI Builder, plain-language questions, dashboards and APIs. And how we set it up and manage it for you.