Technology Survey Templates

Ask about one system, one audience and one decision. A workable set is a task success question, two or three rating statements about ease and speed, one question that surfaces workarounds, and one open text box. The question bank above has 28 items grouped by exactly that shape, copied from our own templates. Skip anything you have no intention of fixing, because asking about it sets an expectation you will not meet.

Six to ten. Every template on this page sits between 12 and 16 questions and takes 3 to 5 minutes. Long technology surveys fail in a specific way: the people with the most to say are the busiest, so a 30 question form quietly filters your sample down to the least representative respondents. If you need more coverage, run a short survey more often rather than a long one once.

It is a structured way to collect tester sign-off before a release. It records which workflows each person tested, which environment they were on, whether they got through the workflow end to end, what blocked them if not, and whether they think you should ship. It is not a defect tracker and it does not replace one. It answers a question a tracker cannot answer, which is whether the people who have to live with the build believe it is ready. Our UAT feedback survey template is 16 questions and about 4 minutes.

Four things most teams leave out. A role question, so you can tell a finance tester from a warehouse tester. An environment question, because a surprising share of disputed results turn out to be two people on two different builds. A blocker question with defined severity levels, so the output is sortable. And an explicit go or no-go question, because a form that produces only ratings leaves someone else to make the call.

Keep it to three to five questions sent right after the ticket closes, and anchor the first one on resolution rather than politeness. Someone can be charmed by an agent who did not fix anything. First contact resolution is the biggest single driver of service desk satisfaction, so ask whether the issue was solved and whether it took more than one contact.[4] For the self-service layer in front of the queue, the Chatbot Survey covers the same ground for a bot.

It is a ten item questionnaire from 1986 that produces a single score between 0 and 100. It is free to use, but it is not public domain. The instrument carries a copyright line naming Digital Equipment Corporation and the year 1986, and Brooke states that it is freely available for use in usability assessment on one condition, which is that any published report acknowledges the source.[7] Reproduce it with that attribution and you are fine. The full block is on our User Experience Survey.

No, it is exactly average. The number looks like a percentage and it is not one. Sixty-eight is the mean across roughly 500 studies, so scoring 68 means you are typical, around 73 puts you in the top third, and around 80 puts you in the top tenth.[1][2] Teams misread this constantly and go and rebuild something that was fine.

It depends on whether you need to act on individual responses. Security, DevEx and phishing surveys should be anonymous, because the honest answers are admissions of workarounds or mistakes. Software evaluations work best confidentially, so you can weight by role without exposing anyone. UAT should be identified, because a blocker you cannot trace to a tester is a blocker you cannot reproduce. The chooser table above marks the mode for every template.

Treat a pilot as a census and invite everyone in it, then judge the result by response rate rather than raw count. As a rough floor, five people will surface most of the obvious usability problems in a qualitative round, but you want at least twenty before you report anything as a number.[5] Below that, one grumpy respondent moves your average enough to change a decision.

A survey that measures how much friction your own engineers hit while shipping: slow builds, review waits, pipeline failures, documentation, access and interrupted focus time. It is worth running because tooling sentiment is measurably volatile right now, with 84 percent of developers using or planning to use AI tools while only 3.1 percent highly trust what those tools produce.[6] Our developer experience survey asks 14 questions about the last four weeks, reported by team.

No, and any page that says otherwise is selling you something. A survey measures what people believe, remember and are willing to report. Click rate is behavior and only a simulation measures it. Run both: the simulation tells you who clicked, the phishing survey tells you whether people reported the last suspicious message and what stopped them.

A usability test watches a handful of people attempt real tasks, and five participants per round will expose most of the serious problems.[5] A UX survey asks a much larger group what they remember afterwards. The test tells you what broke, the survey tells you how widespread it is and whether it is getting better. They answer different questions, so if you only have budget for one, run the test first and survey once you know what to ask about.