This 30-page guide shares everything you need to know to improve your data collection. It includes practical, simple changes you can make at every stage of the survey process, with plenty of examples and case studies.
Design your survey in less time, while improving the quality of your data
The core elements of survey design
A clear research question, outcomes and indicators are the best base for an effective survey
Choosing the right question type
A good survey question asked in the wrong way will just confuse your results
4 types of data collection methods
Learn when you should use observations, questionnaires, interviews and focus group discussions
Following the MECE framework
Write “Mutually Exclusive, Collectively Exhaustive” questions to ensure you get good data
Choosing your survey questions
Which questions should you ask and, more importantly, which questions you should avoid?
Closed vs open-ended questions
How do closed-ended questions differ from open-ended questions, and when is each most effective?
This ebook includes 9 chapters that will help you design a better survey for data collection.
Sampling and sampling size
How to make sure that your sampling error does not invalidate the results of your survey
Best practices for survey questions
Other tips and tools to help with writing clear, objective questions
Qualitative vs. quantitative research
Master when and how to best use qualitative vs. quantitative research questions
"Your workshop helped our staff to know why they are collecting the data and how it can help improve lives of people they work with."
- TK Mathew,
Secretary and Chief Executive, Deepalaya
"This course is super helpful for our field staff to understand why they collect data, and how they can collect the right information they need."
- Nandita Banerjee,
Capacity Building, ASER Centre