About the Course
Today’s humanitarian organizations demand not just data, but trusted, decision-ready data. Whether conducting a rapid needs assessment post-disaster, a baseline for a long-term program, or reporting indicators for donor requirements, you must be able to articulate:
- What your survey measures and why it's important
- How your sample was chosen and what it represents
- The implications of key findings for programming
- The limitations encountered and quality controls applied
- How findings will enhance accountability and action
This course transforms the act of "doing surveys" from a rushed task into a structured, evidence-based system. You will learn to define objectives, translate information needs into measurable indicators, construct effective questionnaires, select appropriate sampling, and digitize tools using KoboToolbox or ODK. Moreover, you will train and supervise enumerators, apply rigorous quality controls, uphold ethical standards, and present data in a way that stakeholders can trust. All content is designed to be hands-on and outcome-driven, tailored for practitioners working under constraints such as tight timelines, insecurity, language barriers, respondent fatigue, and coordination pressures.
Target Audience
This course is designed for professionals responsible for collecting and analyzing survey data in humanitarian contexts, ensuring that evidence is credible, actionable, and accountable.
This course is designed for:
- M&E officers and data analysts supporting program decisions
- Humanitarian field officers conducting needs assessments
- Program managers responsible for evidence-based targeting
- Research and assessment teams in NGOs and UN agencies
- Government staff coordinating relief and social protection surveys
- Donor-funded project teams responsible for indicator reporting
- Enumerators, supervisors, and field coordinators managing data collection
- Protection, WASH, Health, Nutrition, Shelter, and Food Security staff collecting survey evidence
- Consultants delivering baselines, endlines, and evaluations
- Anyone responsible for producing credible survey data for accountability and action
Course Objectives
This course equips you to design, implement, and defend humanitarian surveys using practical tools, ethical procedures, and quality-driven field workflows.
By the end of this course, you'll be able to:
- Define survey objectives and translate them into measurable indicators
- Design sampling approaches that fit context, risk, and resources
- Build clear, field-ready questionnaires that reduce bias and confusion
- Digitize surveys using KoboToolbox/ODK with validations and skip logic
- Plan field implementation, training, supervision, and logistics for enumerators
- Apply data quality assurance, spot checks, and real-time monitoring routines
- Clean, analyze, and interpret survey data for practical decisions and reporting
- Communicate findings clearly, responsibly, and credibly to stakeholders
Requirements & Prerequisites
Participants should have basic familiarity with survey concepts and access to a laptop or tablet for practical exercises. Prior experience in humanitarian or development contexts is beneficial.
Local Application and Business Return in Brazil
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn humanitarian survey work into confident implementation and credible reporting.
Methodology includes:
- Guided exercises to build a full survey design package from scratch
- Questionnaire writing drills using real humanitarian indicators
- Sampling plan workshops using realistic field constraints
- Kobo/ODK build sessions with skip logic, validations, and translations
- Role-playing enumerator training, consent, and sensitive interviewing
- Group work reviewing poor survey examples and improving them
- Case studies from rapid assessments, baselines, PDMs, and evaluations
- Reflection prompts that challenge shortcuts and strengthen evidence discipline
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Designing and Implementing Humanitarian Surveys Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Effective Learning & Skill Development
- Build expertise with structured, outcome-driven learning.
- Equip individuals and teams with skills that grow with industry needs.
- Reinforce learning through real-world scenarios, case studies and practical exercises.
Career Growth & Professional Advancement
- Apply what you learn with a proven methodology that ensures lasting impact.
- Develop immediately usable skills that translate directly into workplace success.
- Gain the expertise needed for career advancement and leadership roles.
Training Optimization & Learning Excellence
- Tailor training to industry-specific challenges and organizational goals.
- Use data-driven insights and automation to enhance training effectiveness.
- Evaluate progress and ensure long-term learning success.
Tools and platforms relevant to this field
Examples Brazil teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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SurveyCTO DobilityUsed for mobile data collection, skip logic, validation rules, and field monitoring in survey operations.
