Home / Practice area 04
Research, Analytics & Grants
Good data, properly analysed, makes a stronger case. We bring doctoral-level research methods to organisations that need credible evidence: NGOs reporting to donors, businesses testing a market and institutions evaluating a programme.
Data analysis
- Tools
- SPSS, Stata, Python and Advanced Excel (Power Query, pivot tables, dashboards).
- Methods
- Data cleaning, descriptive statistics, hypothesis testing, regression, panel data, factor analysis and forecasting.
- You receive
- Clean data files, documented and reproducible code or syntax, clear tables and figures, and a plain-language interpretation.
Surveys and evaluations
Questionnaire design, sampling, data collection oversight, baseline and endline studies, and impact evaluation for projects and programmes.
Grant proposals and donor budgets
Concept notes, full proposals, results frameworks and logframes. We pair these with realistic, donor-compliant budgets, the part many proposals get wrong.
Feasibility studies and business plans
Market analysis, financial projections and investment appraisal for new ventures, expansions and loan applications.
Research methods training
Hands-on workshops in SPSS, Stata, Python and Excel for researchers, analysts and postgraduate supervisors.
Questions
Will I be able to repeat the analysis?
Yes. We hand over documented code or syntax with every project.
Do you sign confidentiality agreements?
Yes, and we handle personal data under the Kenya Data Protection Act 2019.
