Create surveys that turn feedback into a next step.

What is an online survey builder?

An online survey builder lets you write questions, choose answer formats, publish a questionnaire, and review responses without writing code. Surveys are especially useful when you want to compare experiences across a group: what customers struggled with, which event sessions helped, or how a team feels about a recent change.

A contact form usually starts a conversation with one person. A survey starts with a research question. Before choosing colors or adding fields, finish this sentence: “We will use these answers to decide whether to…” That decision keeps the questionnaire focused and helps you avoid collecting information you will never use.

Build an onboarding survey: a worked example

Imagine a software team deciding which part of onboarding to improve next. Its audience is people who signed up recently. The team needs to know what they tried, where they got stuck, and what would have helped.

1. Start with experience. “Which setup steps have you tried?” Offer the actual steps in your product, plus “I have not started yet.” This separates a difficult experience from a step someone has never attempted.
2. Ask for one assessment. “How easy or difficult was it to finish your first setup?” Keep the scale balanced, label both ends, and offer an appropriate not-applicable choice. Do not combine setup speed and support quality in one score.
3. Find the obstacle. “What, if anything, made setup difficult?” Use an open text answer. If the respondent has not started, use a different branch: “What has kept you from getting started?” That avoids asking them to judge an experience they have not had.
4. Identify a next step. “What would have helped you move forward?” Treat suggestions as evidence to investigate, rather than an automatic feature priority. An optional email field can invite a follow-up conversation with a clear explanation of how it will be used.

In Deformity, create the questions manually or describe this brief to the AI builder. Review the generated wording, configure the branches with conditional logic, then submit test answers for both a completed setup and an unstarted setup. Check every route before publishing.

Write questions people can answer accurately

Clear wording matters more than adding another feature. “How great was our fast onboarding?” suggests the answer you want. “How would you describe your onboarding experience?” leaves room for positive and negative feedback. Ask about a specific event or period so respondents do not have to guess what you mean.

Run a small pilot with people who resemble your audience. Ask what they thought each question meant and where they hesitated. Revise ambiguous wording before the main launch. If you change a key question during collection, record the change so you do not compare answers as though everyone saw the same survey.

Publish, check the flow, and use the responses

Set your colors, fonts, and images in the designer, then preview the questions and ending on desktop and mobile. Share a direct link or website embed where the relevant audience will see it: a post-event email, onboarding message, or customer community. Test the published version, including any required fields, redirects, and integrations.

Explain the purpose, expected effort, and how you will use the answers in the introduction. Choose a distribution window that fits the experience you are researching. Sending a survey about a workshop months later asks people to reconstruct details they may no longer remember.

Review Insights for completion patterns, then read the answers in Conversations. If many people leave at the same question, check its wording, required status, and relevance. A drop-off can have several causes; compare the actual question and traffic source before changing it.

Export a CSV or connect Google Sheets. Separate test submissions from real responses, group comparable answers, and label recurring themes in comments. In the onboarding example, group setup obstacles by the step attempted, then read the explanations within each group. Keep original answers available so someone else can check your interpretation.

A useful research summary names the audience, collection dates, number of responses, main finding, and next action. Small or self-selected samples may miss other experiences. Use feedback to guide a follow-up test, and tell respondents what changed when appropriate; do not treat every percentage as representative of all customers.

Build your next survey around a clear question.

Choose a template, adapt the wording, and test a complete response. Start with a free static survey, then add AI exploration where it serves your research.