How do I read my survey results and eNPS?

Understand eNPS, response rate, trends, benchmarks against your own earlier cycles and department breakdowns — while every individual answer stays anonymous.

How-to guides · ~5 min read · Updated 18 Aug 2026

Quick answer

Open Surveys to see your results. Each survey shows the response rate, the score breakdown, and your eNPS — the employee Net Promoter Score. eNPS comes from the 0–10 "would you recommend" question. Track the trend across cycles. Individual answers always stay anonymous.

What is eNPS?

eNPS is the employee Net Promoter Score. It comes from one question: on a scale of 0 to 10, how likely are you to recommend us as a place to work? People split into three groups.

- Promoters:  scored 9 or 10 (your biggest fans)
- Passives:   scored 7 or 8 (happy but not raving)
- Detractors: scored 0 to 6 (unhappy)

How is eNPS calculated?

You subtract the percentage of detractors from the percentage of promoters. Passives are left out of the sum. The result ranges from −100 to +100.

eNPS = %Promoters − %Detractors

Example: 100 people answer.
  60 promoters  = 60%
  25 passives   = 25%
  15 detractors = 15%

eNPS = 60 − 15 = +45

What is the response rate?

The response rate is how many people answered out of everyone invited. A survey answered by 80 of 100 people has an 80% response rate. Higher rates mean the results reflect more of your team.

How do I read the trend?

Each survey cycle gives a new eNPS. View them side by side to see if morale is rising or falling over time. A steady climb is a good sign; a drop is worth a closer look.

What is the benchmark?

Your own workspace, and nothing else. The benchmark card compares this cycle with the previous one, with the average of every earlier comparable cycle of the same survey, and with your own best and worst so far. Each department is also compared with your overall score for the cycle.

ASHR.work does not publish an industry or cross-customer benchmark. We have no such data — no panel, no licensed dataset, nothing pooled from other customers — so a figure labelled "industry average" would be one we made up, in the format that makes a made-up figure look sourced. The card says what it rests on, on the card.

A cycle with too few responses to show a score is left out of the comparison rather than quietly averaged in, and the card tells you how many were left out.

Reading the department breakdown

Results also break down by department, using the department each person was in when they answered.

A department is scored only once enough people there have answered — the same threshold that unlocks the survey overall. Below it, the department is listed as Hidden rather than dropped from the list, so you can see it exists and that its people did answer.

Sometimes a second department is hidden too, and that is deliberate. If exactly one were hidden you could work out its score by subtracting every visible department from the cycle total, which would make hiding it pointless. When that would happen, the smallest visible department is hidden as well.

Is it really anonymous?

Yes. You only ever see grouped numbers — totals and percentages. You cannot see who gave which score, and that holds for a department slice as much as for the whole. This keeps people honest and safe to share.

Frequently asked questions

Can I see who gave a low score?
No. Individual answers stay anonymous. You only ever see grouped numbers, never one person's reply.
What is a good eNPS?
Anything above zero means more promoters than detractors. Above 20 is often seen as healthy.
What do you benchmark my score against?
Your own workspace — this cycle against earlier closed cycles of the same survey, and each department against your own overall score. ASHR.work does not publish industry or cross-customer benchmarks.
Why is one of my departments shown as hidden?
Too few people there have answered for a score to be shown without risking anonymity. Sometimes a second department is hidden as well — if only one were hidden you could work its score out by subtracting the others from the total.

This guide also lives in the help centre at /help/surveys/reading-survey-results, which is its canonical home.