Focused Research Clinic
KSh 2,000A 45-minute clinic for one proposal, methods, sample-size or results question, with live guidance and concise written next-step notes.
Book the clinic ↗Data analysis consulting in Kenya
Turn your research data into defensible results.
For students, researchers, health teams, NGOs and organisations that need a clear path from question and raw data to cleaning, SPSS/R/Excel analysis, interpretation and reporting.
01 Clear scope02 Reproducible work03 Confidentiality-aware
TOOLSR · SPSS · Excel
FOCUSMethods before software
Study designData cleaningBiostatisticsResults reporting
Clear packages and starting prices
Choose the smallest useful next step.
No vague “data analysis” promise. Each option starts with a defined problem, a visible deliverable and ethical boundaries.
Data Rescue
KSh 8,000–15,000Dataset audit, cleaning, codebook, missing-data review and a documented cleaning log you can follow.
Check my dataset ↗Complete Results Pack
KSh 18,000–35,000Cleaning, analysis plan, SPSS/R/Excel analysis, tables, charts, responsible interpretation and a review session.
See the full pack ↗Final price depends on dataset size, complexity, deadline and required outputs. Scope and price are agreed before paid project work begins.
What the work should leave you with
Useful outputs—not a folder of unexplained numbers.
The goal is a research workflow you can understand, defend and use. Scope depends on your stage, dataset and deadline.
A defensible research plan
Clarify the question, objectives, variables, study design and analysis pathway before work becomes expensive to redo.
↗A cleaner, documented dataset
Build a codebook, identify missingness and inconsistencies, document cleaning decisions and preserve an auditable working copy.
↗Analysis matched to the question
Choose descriptive or inferential methods for the study—not a fashionable test disconnected from the design and data.
↗Results people can understand
Translate output into tables, figures, interpretations, limitations and reporting language without overstating the evidence.
↗A disciplined workflow
Methods first.
Software second.
Before running commands, we establish what the study can reasonably answer, what the data can support and what must be documented.
Explore the biostatistics hub →Frame
Research question, objectives, variables and study design
Prepare
Questionnaire review, codebook, data checks and cleaning plan
Analyse
SPSS, R or Excel workflow aligned to the study question
Explain
Results, visuals, limitations and decision-ready reporting
STUDENTS
Make the logic of your proposal and results easier to defend.
Support for undergraduate and postgraduate research without replacing your responsibility as the researcher.
RESEARCH TEAMS
Improve consistency from questionnaire to reporting.
Useful for field studies, public-health projects, NGOs and small teams that need clearer data-quality and analysis decisions.
Start with something practical
Public tools you can inspect before contacting us.
These resources show the working style: structured, reusable and clear about what each step is for.
01 / FLAGSHIP SERVICEMove from a messy dataset to documented, defensible resultsSee the Data Rescue Pack ↗02 / NGO & M&E SERVICEAudit programme, survey and KoboToolbox data before donor reportingExplore NGO data audits ↗03 / TEMPLATE LIBRARYProposal, codebook, cleaning and reporting resourcesOpen toolkit ↗04 / PRACTICAL RSix lesson notes, synthetic data and answer guidesOpen modules ↗05 / METHODS GUIDEMove from a broad problem to a defensible study designRead guide ↗06 / STATISTICS PRIMERChoose, interpret and report common statistical methods responsiblyOpen guide ↗07 / PROPOSAL SUPPORTClarify the question, objectives, methods and revision planExplore proposal support ↗08 / BIOSTATISTICSChoose sample-size and statistical methods you can explainExplore biostatistics ↗09 / WORLDWIDE ONLINERemote SPSS, R and biostatistics consulting for international teamsExplore remote consulting ↗10 / FREE CALCULATOREstimate a cross-sectional study sample with visible assumptionsCalculate a sample ↗11 / R CASE STUDYInspect a reproducible public-health logistic-regression workflowOpen case study ↗12 / SPSS CASE STUDYSee the cleaning log and analysis gate behind a survey resultOpen case study ↗
Tell us where you are stuck
Bring the question before you bring the software.
Share your stage, deadline and the decision you need to make. Do not include names, identification numbers or confidential participant records.
Before you enquire
Clear boundaries build better work.
Can you analyse my data for me?+
Support is scoped around your research question, design, data quality and required output. We agree on the work before analysis begins.
Which software do you use?+
R, SPSS and Excel are selected according to the analysis, collaboration needs and your ability to reproduce the work.
Will you write or fabricate academic work?+
No. The service supports responsible analysis, interpretation and learning. It does not fabricate data, guarantee grades or hide academic misconduct.
Can I send confidential participant data?+
Do not send identifiable participant data through the enquiry form. We first discuss safe transfer, de-identification and minimum necessary access.