Collecting Data 40
Surveys, interview and focus group guides, sampling and data quality checks.
Surveys, interview and focus group guides, sampling and data quality checks.
Design channels for collecting, processing, and responding to feedback from the people your program serves.
Get feedback on your survey, interview guide, or checklist for clarity, bias, skip logic, and completeness.
Create a structured survey questionnaire for household or beneficiary data collection.
Create a semi-structured interview guide with opening, probing, and closing questions.
Create a focus group discussion guide with icebreakers, key questions, probes, and facilitation notes.
Create a structured checklist for field observations with clear criteria and rating scales.
Determine how to select your study sample : method, size, stratification, and practical considerations.
Plan a quick assessment to get actionable data within 1-2 weeks for urgent decisions.
Design disability-inclusive data collection tools using the Washington Group Questions, with guidance on ethical protocols, accessible survey administration, and disability-disaggregated analysis.
Create a beneficiary accountability framework with feedback loops, complaint mechanisms, response protocols, and community participation structures aligned with the Core Humanitarian Standard.
Create a data quality audit protocol with verification procedures, sampling strategy, scoring rubric, and corrective action framework for assessing M&E data reliability.
Create an enumerator training agenda and manual outline for a data collection exercise, covering methodology, tools, ethics, practice sessions, and field protocols.
Create a field supervision checklist and data quality spot-check protocol for monitoring enumerator performance and data integrity during data collection.
Design a structured KoboToolbox or ODK-compatible survey form with question types, skip logic, validation rules, calculation fields, and deployment guidance.
Create a mobile and digital data collection protocol covering device management, data syncing, offline procedures, quality checks, and troubleshooting.
Create a remote monitoring plan for contexts where direct field access is limited, covering phone surveys, satellite imagery, third-party monitoring, and remote verification methods.
Design a health household survey instrument using validated question modules for immunization, nutrition, WASH, and maternal health, with sampling strategy and field protocols.
Design a learning assessment tool for literacy and numeracy with grade-level benchmarks, scoring rubrics, administration protocols, and analysis specifications aligned to EGRA/EGMA methodology.
Design a WASH household survey using JMP and WHO standard question modules for water service levels, sanitation access, hygiene practices, and water quality perceptions.
Review a dataset or data collection process for quality issues across five dimensions: completeness, accuracy, consistency, timeliness, and validity.
Draft a proposal-ready data collection plan specifying methods, schedule, sampling (with design effect and non-response buffer), responsibilities, and instruments for every indicator in the MEL plan, plus an explicit digital-vs-paper decision.
Build a learning loop into routine program operations.
Review a draft survey instrument before field deployment.
Design a sampling plan with frame, method, size, and selection criteria.