Designing Surveys That Actually Get Answered and Analyzed
About this event
You've run the survey. The responses are in. But when you open the data, it's a mess inconsistent answers, half-completed forms, and questions that generated responses you can't meaningfully analyze.
This is one of the most common and most avoidable challenges in data collection. And it starts at the design stage.
In this practical, field-focused webinar, KAPsurvey and i-APS bring together survey design principles that work in the real world: for NGO program evaluations, clinical data collection, community health assessments, and multi-site research studies.
Whether your team is collecting data in a connected office or an offline field environment, this session gives you the tools to design surveys that respondents actually complete and that produce data you can actually use.
What you'll learn
- How to write questions that generate clean, structured, analyzable data from the start
- How to use skip logic strategically to reduce respondent fatigue and improve completion rates
- How to design surveys that function seamlessly in both online and offline field contexts
- Common survey design mistakes that compromise data quality and how to avoid them
Who should attend
This webinar is designed for professionals working in data-driven environments, including:
- NGO program officers and M&E teams
- Healthcare researchers and clinical data managers
- Field coordinators and enumerators
- Survey designers and data analysts in international development contexts
Whether you are designing your first KAP survey or looking to improve an existing data collection process, this session is for you.
