Market Research & Surveys
We design and execute market studies with the same methodological standard used in official statistics: probabilistic sampling, validated questionnaires, supervised fieldwork, and rigorous statistical analysis. From consumer studies and customer satisfaction to baseline surveys and impact evaluations for NGOs and development projects. Data collection runs on KoboToolbox with GPS validation and quality controls at every stage — so every figure in your report is one you can defend.
We design and execute market studies with the same methodological standard used in official statistics: probabilistic sampling, validated questionnaires, supervised fieldwork, and rigorous statistical analysis. From consumer studies and customer satisfaction to baseline surveys and impact evaluations for NGOs and development projects. Data collection runs on KoboToolbox with GPS validation and quality controls at every stage — so every figure in your report is one you can defend.
Companies launching or repositioning products; SMEs that need to understand their market before investing; NGOs and international cooperation projects requiring baselines, endlines, or impact evaluations; public institutions and research centers needing professional data collection and analysis.
Results
A technical report with defensible findings; clean, documented databases; statistical analysis beyond descriptive tables (segmentation, drivers, significance testing); and a clear executive summary for decision-making. You keep the report and the results — built to withstand scrutiny.
This is what your data could look like
We transform the complexity of your data into rigorous analysis that reveals the key insights for your thesis, market research, project, or business. We provide the clarity you need to interpret results, predict trends, and prepare to make decisions or support findings with solid evidence. We have the perfect solution for you.
Monthly trend
Distribution by segment
Customer segmentation (k-means)
Grouping by spend and frequency
Prediction (regression)
Fitted model over observed data
Variable importance (random forest)
Which factors drive the outcome