End-to-end empirical research management expertise
- Study Design
- Research design and methodology (defining objectives, hypotheses, sampling design, and analytical framework)
- Contextualisation of the study
- Application of appropriate sampling techniques
- Data Collection Preparation & Design of Data Collection Tools
- Field Operations Management
- Customized Survey Instrument Design
- Pre-testing and validation of data collection tools
- Recruitment of qualified enumerators
- Digitalization of Data Collection Tools (SurveyCTO, KoboCollect, etc.)
- Conversion of tools into digital platforms such as SurveyCTO, KoboCollect, etc.
- Integration of logic checks and validation rules
- Training and Monitoring of Data Collectors
- Conducting training sessions on tools, ethics, and procedures
- Ongoing monitoring to ensure adherence to protocols
- Implementation of back-checks, spot-checks, and real-time quality assurance
- Data Cleaning and Management
- Securing data storage, backups, and version control
- Handling missing values, outliers, and consistency checks using Excel, R, Stata, or Python
- Data Analysis
- Qualitative data analysis (Thematic coding, NVivo, Atlas.ti, etc.)
- Quantitative data analysis (descriptive and inferential statistics, machine learning/data science techniques)
- Data visualization for enhanced interpretation and communication
- Reporting
- Development of clear, structured, and actionable reports based on analytical findings
- Tailoring outputs for stakeholders, including technical teams, policymakers, and partners
