Statistical studies and surveys
Questionnaire design, sampling plans, household surveys, baseline and endline studies, market studies and polls.
Statistics · Surveys · Monitoring and evaluation · Data
Innocent Kiendrebeogo Consulting supports NGOs, public institutions and development partners in West Africa, from survey design to analysis and the presentation of results.
A complete assignment or a single step: design, data collection, analysis or training.
Questionnaire design, sampling plans, household surveys, baseline and endline studies, market studies and polls.
Tablet-based data collection, training and supervision of field teams, continuous quality checks during fieldwork.
Results frameworks, indicators, monitoring systems, mid-term and final evaluations, outcome measurement.
Data processing and cleaning, weighting, statistical and econometric analysis, microsimulations.
Interactive dashboards (R Shiny, Power BI) and indicator databases to monitor a programme in real time.
Training teams in statistical software, digital data collection and survey data analysis.
Every assignment follows four steps, with validation points along the way.
Understand the question, review the documentation, set the indicators and the method.
Build the tools, train the teams, monitor data quality day by day.
Clean, weight and analyse the data with reproducible, documented scripts.
Clear report, key messages, dashboards and a validation workshop.
Innocent KIENDREBEOGO is an Engineer in Statistics and Economics (ISE, ISSEA, Yaoundé, 2022). The firm, created in 2026, builds on his experience with national and international institutions.
Short Term Consultant
Harmonization of household survey data from Sub-Saharan African countries, quality control, microsimulations and development of R packages.
Engineer in Statistics and Economics
Contributed to the Permanent Agricultural Survey and the ENISAN survey with WFP: CAPI data collection, data processing, R Shiny and Power BI dashboards, indicator databases.
Research officer, MEAL assistant
Data collection and analysis for project studies and evaluations.
R package to work with eVIIRS NDVI vegetation data (FEWS NET).
View on GitHub →R Shiny application for survey monitoring, using fictitious data.
Open the demo →For studies that need other expertise (health, agronomy, environment, economics, education), the firm builds teams with experienced experts and a partner firm.
Describe your needs in a few lines: context, area, timeline. Reply within two working days.
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