Design and sampling
Clarify unit of analysis, population, setting, sampling frame, inclusion rules, sample logic, access, and generalisation limits.
Methodology support
Design a method that can genuinely answer the research question.
Methodology support connects the question to a defensible design, evidence source, sampling strategy, measurement or interview process, analysis plan, and ethical approach.
Why it matters
The strongest method is the one that fits the claim.
We compare realistic design choices and make their assumptions and trade-offs explicit. The objective is not to label a study as quantitative, qualitative, or mixed methods, but to establish a traceable logic from question to evidence.
Support can be provided before data collection or as a diagnostic review when a proposal, instrument, sample, dataset, or analysis plan has already been developed.
What support covers
Focused help for the decisions that affect quality.
Every engagement is scoped to the material supplied and the work actually required.
Measurement and instruments
Review construct definitions, operationalisation, source scales, interview guides, validity, reliability, piloting, and adaptation.
Analysis and ethics
Pre-specify analysis, quality checks, consent, confidentiality, approvals, data management, and foreseeable limitations.
Working process
A clear sequence from review to final check.
The exact milestones vary by project, but the work remains traceable and decision-led.
- 01
Map each research question to the evidence needed.
- 02
Compare feasible designs and document the reasons for the selected approach.
- 03
Specify sampling, collection, instrument, analysis, quality, and ethics procedures.
- 04
Check consistency with resources, approvals, limitations, and the claims the study intends to make.
What to prepare
Send enough context for an accurate scope.
- Research questions and objectives
- Programme methodology requirements
- Proposed population, data source, instrument, or dataset
- Access, time, software, and ethics constraints
Responsible support
- You remain the author and decision-maker for your research.
- We do not guarantee supervisor approval, a degree outcome, or journal acceptance.
- We do not fabricate participants, data, citations, approvals, or research findings.
- The agreed scope, source files, deadline, and revision terms are confirmed before work begins.
Questions
Before you begin.
For project-specific questions, share the programme, topic, current stage, deadline, and exact support needed.
Can you recommend quantitative or qualitative methods?
Yes, after reviewing the question, contribution, evidence access, and constraints. The recommendation should follow the study's logic rather than a preferred software package.
Can you review a questionnaire?
Yes. Review can cover construct coverage, wording, response scales, source attribution, adaptation, coding, pilot strategy, validity, and analysis fit.
Related guidance