Survey analytics: filters, splits and AI-insights

Published August 7, 2026

Most survey tools stop at drawing charts. The interesting questions start after the chart: do managers answer differently from employees? What do the unhappy respondents say in the open comments? YourOpinion’s results page is built for those follow-up questions. Every answer is a filter, every question is a segment, and a statistics engine works through the comparisons you didn’t think to make.

The overview reads like your survey

Results are shown in the same order people answered them: your sections, your intro text, your questions, each with a live chart underneath.

You can view results one distribution channel at a time, to compare the email campaign against the QR code on the poster. You also decide whether people who stopped halfway count: leave them out for clean numbers, or include them when every answer matters.

Open-text questions appear as a quote wall: the full list of written answers, newest first. Quotes follow every filter you apply, so you read them in context - filter to the detractors and read what they wrote.

A chart for each kind of question

Question types differ, so their charts should too. A 1-to-5 agreement scale and a pick-your-country question have nothing in common statistically, and showing both as the same bar chart is wrong. The results page matches visualisations to each question type and lets you choose between the sensible views for every question. Your choice is remembered.

Single choice questions offer horizontal bars, columns, and a donut paired with a distribution list. Yes/no questions add a diverging bar that puts the two camps on either side of a centre line.

Agreement scales (Likert) show the typical answer, the share of respondents who picked the two highest or two lowest options, and the full distribution; a diverging bar makes polarisation visible at a glance. Numeric scales show the mean marked on the scale next to the same shares and distribution, and plain number questions show mean, total, and response count.

Matrix questions collapse to a mean-per-row comparison - seven rows, one readable chart - with a diverging bar per row for agreement rows. Ranking questions show summed scores per option.

A question linked to a KPI leads with its benchmarked score in front of the health bands, so the metric and the raw distribution live on the same card.

Click an answer to filter everything

Every bar, slice and label is a button. Click “Fully remote” and the entire page - every chart, every statistic, every text quote - now describes remote workers only. Click a second answer to widen the set, click answers on other questions to narrow it further; filters on different questions combine.

Sharing what you found is just sharing the link. A colleague who opens it sees exactly what you see: same filters, same split, same charts.

Any question is a segment

Any single-choice or yes/no question can split the whole report by its answers: choice questions become grouped bars per segment, scale questions gain a segment-means view that lines the groups up on the same scale. Each question can flip between the split view and the overall numbers, and very small segments get a small-sample warning.

Demographics you collected become a view across every other question - satisfaction by tenure, obstacles by department, trust by seniority. One click to explore, one click to undo.

With twenty questions there are hundreds of possible cross-tabs, and nobody runs them all by hand. The analytics engine does. It computes every metric-by-segment comparison in your data and checks each one: you only see statistically meaningful differences. Only then does AI get involved: it reads the surviving findings and writes each one up in plain language.

The result is a short list of suggestions above your results - “Work obstacles and ownership differ between on-site and hybrid workers” - where one click applies the split. Findings anchored to a single question appear under that question’s chart, marked by how serious they are. Expand one and you get the written analysis next to its comparison chart. Pin the ones worth keeping, dismiss the ones you disagree with, and when new responses stop supporting a finding, it is removed automatically.

Watching answers change over time

Once you know which questions matter, the next step is watching them move. The overview shows where answers stand today; link a question to a metric and its tile becomes that question’s timeline - the current score with a trend line behind it, coloured by the health bands you set, updating as responses arrive. And because a metric can collect answers from several surveys, the trend outlives any single survey.

Individual responses and export

Every individual response is also there to read: a table of submissions with status, duration, completion and country; add any question as a column, open any row to read the full response. And the complete dataset can be downloaded as an XLSX file. Your data is yours; there’s no export paywall and no lock-in.

Where respondents drop off

YourOpinion also shows where respondents drop off before their answers ever reach these results: how many opened the survey, how far they got, and which question lost them.