Surveys from Start to Finish is a comprehensive workshop designed to provide a practical, step-by-step guide to the entire survey process. Topics include identifying information needs, understanding the basics of questionnaire wording and layout, and selecting data collection methods. The workshop covers probability and non-probability sampling theory and design, as well as how to process, interpret and present survey results to turn data into useful information. Learning is reinforced through exercises, with the objective of equipping participants with tools to develop their own surveys or evaluate survey proposals from others. Built on a modular concept, Surveys from Start to Finish offers flexibility: participants may complete all modules as a full workshop or take individual modules based on their specific needs.

Surveys from Start to Finish – Module 1: Development and design of survey questions

This module is intended for those who wish to gain knowledge in developing or evaluating questionnaires. It covers essential preparatory steps for questionnaire development, including how to translate information needs into clear, concise questions. The module explores how question wording and question types may vary depending on the data collection methods used.

Surveys from Start to Finish – Module 2: Survey sampling methods

The survey sampling module is intended for those who wish to maximize the value of survey results by selecting a sampling method that accurately represents their population of interest. Topics include methods for conducting non-probability and probability surveys, as well as specific techniques such as simple random sampling, systematic sampling, stratified sampling and cluster sampling.

Surveys from Start to Finish – Module 3: Processing and interpreting survey results

This module covers the basic concepts and techniques of processing, interpreting and presenting survey results. Topics include techniques for cleaning data files, capturing and coding data, and ensuring accuracy through editing and logical checks. Participants will learn strategies to minimize non-response and handle missing or invalid data—both crucial for maintaining data quality. Finally, the module addresses how to summarize data and present survey results, including confidentiality considerations and the use of tables, graphs and visualizations.