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From file to survey

Dissertation survey template

Upload your thesis or summary — AI drafts questions, participant information, scales and demographics for your methodological review.

Upload PDF → generate survey

You review and edit everything before publishing. You remain responsible for the methodology, participant information and research data process.

How it works

From template to your own form

Copy the template

One click — the form lands in your dashboard as your own.

Adjust the content

Change questions, order, and copy in a simple editor.

Publish and collect

Share the link and see responses in one place.

Why use it

How to prepare a dissertation survey

A dissertation survey commonly combines participant information, substantive questions and a methodologically justified demographics section. This template demonstrates one possible structure; you must adapt the questions, research information and data-protection wording to your project and institution before publishing.

  • When your study needs the right order

    The example flows from participant information through the main questions to demographics. Your methodology, supervisor and institutional requirements should determine the final order.

  • When you want to mix question types

    A 5-point Likert scale, multiple choice and an open question give you a methodologically sound starting point you can adapt.

  • When you need to gather data efficiently

    One link works on phones and laptops, and every response lands in a single dashboard you can export for analysis.

Example survey

See the ready-made structure

This working example shows one possible survey structure. Treat it as a starting point: replace the questions, research information and data-protection wording before you publish.

Questions

Questions and answers

There is no universal number. Each item should serve the research question and analysis plan, and completion time should be checked in a pilot. Agree the scope and instrument design with your supervisor or methods adviser.

There is no single correct number — it depends on your population, your analysis and your field. Rather than aiming for an arbitrary figure, justify your sample size in the methodology and confirm expectations with your supervisor.

Give accurate information about the study purpose, researcher or controller, data collected, lawful basis where applicable, use, recipients, retention, participant rights and relevant contacts. Say participation is voluntary and explain any real limits on withdrawal after submission. Do not promise anonymity unless the complete data flow makes re-identification no longer reasonably possible.

In quantitative surveys, demographics usually go at the end. Opening with the substantive questions keeps respondents engaged, while age, gender, education and residence — asked in brackets, never exact values — sit in a short closing section.