Read survey results and export them

Understand the response rate, NPS and per-question charts, and get every answer out as a spreadsheet.

Who can do thisowneradminfinanceviewer

Pick a survey on the Surveys page and the results sit underneath it, updating as answers come in.

The tiles

Responses — how many people have answered.

Response rate — those responses as a percentage of your confirmed attendees. Anything above 20% for a post-event survey is healthy; a reminder send is the usual way to lift it.

NPS — appears when the survey has an NPS question. Promoters (9–10) minus detractors (0–6), as a percentage. It runs from −100 to +100, so a positive number means more people would recommend your event than would warn someone off it.

Average rating — the mean across every 1–5 rating question in the survey. Use the per-question charts below to see which one is dragging it down.

The per-question cards

Each question gets its own card showing how many people answered it and how the answers fell.

Rating and NPS show the full spread, not just the average. That matters: a 3.0 average made of straight 3s is a dull event, and a 3.0 average made of 5s and 1s is a divisive one. They need different fixes.

Single and multi choice show a bar per option, including options nobody picked — a zero is a finding too.

Free text lists every answer in full. Scroll the box to read them all. These are usually where the actual decisions come from; the numbers tell you *that* something was wrong, the comments tell you *what*.

Export everything

Export CSV gives you one row per response and one column per question, in the order the questions are asked. It opens correctly in Excel with Arabic answers intact.

A named survey includes the respondent's name and email. An anonymous survey has no name or email columns at all — not blank ones, none — because the link back to the person was never stored.

Use the export when you want to cross-tabulate (do first-time attendees rate the venue differently?) or paste comments into a report.

Reading it honestly

The people who answer a survey are not a random sample of your attendees. Those who loved it and those who were furious are both over-represented; the quietly satisfied middle is under-represented. Treat the numbers as a strong signal, not a measurement.

Watch the same questions across events rather than agonising over one number in isolation. An NPS that moved from +12 to +31 tells you far more than either figure on its own.

Common problems

The response rate looks impossibly low — it counts confirmed attendees as the denominator, including people who registered and never came. If you want turnout-adjusted numbers, export the CSV and compare against your check-in list.

A question shows fewer answers than there are responses — that question is optional and some people skipped it. Only required questions are answered by everyone.

A response is missing — check whether the survey closed before that person opened their email.