Independent evaluation to understand programme performance, assess implementation and outcomes, and generate actionable evidence for improvement, funding and strategic decision-making.

Support may include:

• Evaluation frameworks, plans and methodologies
• Theory of change and logic model development
• Baseline, process, outcome and impact evaluations
• Indicator development and outcome measurement
• Surveys, interviews and mixed-methods evaluation
• Statistical, comparative and subgroup analysis
• Monitoring data analysis and evidence interpretation
• Evaluation reports, recommendations and stakeholder ready findings

Custom-developed AI systems, Python-based tools and automated workflows tailored to your organisation's research, data and operational needs.

Support may include:

• Bespoke AI-enabled systems and workflows
• Custom Python tools and software development
• Natural language processing (NLP) and text analysis
• Automated data cleaning, validation and quality assurance
• Evidence extraction and information-processing workflows
• Reproducible analytical pipelines
• Reporting and dashboard automation
• Technical documentation and system handover

Specialist statistical analysis for clinical, public health, survey, evaluation and applied research datasets, with methods selected according to the study design, data structure and research question.

Support may include:

• Descriptive and inferential analysis
• Regression and multivariable modelling
• Longitudinal and repeated-measures analysis
• Clinical and health data analysis
• Survey and outcome analysis
• Missing-data and sensitivity considerations
• Statistical interpretation and reporting

Expert research support for projects using surveys, interviews, qualitative inquiry or a combination of quantitative and qualitative methods.

From developing robust data collection instruments to analysing complex survey and qualitative datasets, support is tailored to the research question, study design and intended outputs.

Support may include:

• Survey and questionnaire design
• Instrument review, validation and refinement
• Survey data preparation and statistical analysis
• Interview and qualitative data analysis
• Thematic analysis
• NVivo-supported qualitative analysis
• Development of coding frameworks and codebooks
• Mixed-methods analysis and integration
• Interpretation and synthesis of quantitative and qualitative findings
• Research reporting and presentation of findings

Structured evidence synthesis for clinical, health and applied research questions, from review design and search strategy through study selection, appraisal, synthesis and reporting.

Support may include:

• Systematic reviews
• Meta-analysis where appropriate
• Narrative synthesis
• Literature and evidence reviews
• Eligibility criteria and review protocols
• Search strategy development
• Data extraction frameworks
• Risk-of-bias assessment
• PRISMA-aligned reporting

Methodological support for projects that need a clear research question, robust study design and defensible analytical plan before data collection or analysis begins.

Support may include:

• Research question and hypothesis refinement
• Study design and methodological planning
• Outcome and variable definition
• Survey and measurement strategy
• Sampling and sample-size considerations
• Statistical and data-analysis planning
• Research protocol development
• Methodological review

Support in translating research and analysis into clear, methodologically accurate and publication-ready outputs.

Support may include:

• Interpretation and presentation of findings
• Methods and results development
• Statistical reporting
• Manuscript review and refinement
• Tables and figures
• Reviewer-comment responses
• Re-analysis where reviewer feedback requires it
• Alignment with journal and reporting standards