Practical walkthroughs written by our research desk — what each tool asks you, how to read the output and how we use it on real client work.
Each guide pairs with one tool and ends with the mistakes we see most often.
Statistical Method Recommender · 6 min read
A step-by-step walkthrough of the Statistical Method Recommender: how to describe your data, read the recommendation and check the assumptions before you run the test.
Read the guideResearch Topic Evaluator · 5 min read
Use the Research Topic Evaluator to test clarity, researchability, scope and originality, then rewrite your topic into something you can actually collect data for.
Read the guideSample Size Calculator · 6 min read
Which sample size formula applies to your study, how finite population correction works, and how much to add for attrition and non-response.
Read the guideData Quality Checker · 7 min read
Run a CSV through the Data Quality Checker to find missing values, duplicate rows, outliers and mistyped variables, then decide what to fix and what to report.
Read the guideData Quality Checker · 6 min read
A practical guide to diagnosing why values are missing, choosing between deletion and imputation, and reporting the decision so reviewers accept it.
Read the guideSample Size Calculator · 5 min read
Work out a defensible sample size using Cochran, Yamane and power analysis, then adjust realistically for non-response and clustering in Nigerian fieldwork.
Read the guideStatistical Method Recommender · 7 min read
The questions examiners actually ask about design, sampling, instruments and analysis, and how to prepare evidence-backed answers for each one.
Read the guide