Case Studies

What working with us looks like.

Anonymised examples from across the research journey: the challenge each scholar faced, how we approached it, what they received and what changed.

These are illustrative examples of typical engagements. Names, institutions and other identifying details are never published.

Case study 01Topic Selection & ProposalEducation

Topic Selection and Synopsis for an Education Scholar

PhD applicant preparing for registration 3 weeks

The challenge

A scholar had three possible topics on technology use in classrooms and a registration deadline six weeks away, but could not judge which one was feasible or new enough to defend before the research committee.

Our approach

We compared the three topics on novelty, data access and fit with the scholar’s background, recommended one with a narrower scope, and reviewed two drafts of the synopsis covering the problem statement, objectives and methodology outline.

What they received

  • Topic evaluation note comparing the three options
  • Synopsis structure outline
  • Two rounds of annotated draft feedback

The outcome

The scholar submitted a focused synopsis before the deadline and went into the committee presentation able to explain why the chosen topic was feasible and what it would add.

Case study 02Literature Review & NoveltyEngineering

Literature Review Structuring for an Engineering Researcher

Doctoral researcher, second year 5 weeks

The challenge

An engineering scholar had read extensively, but the draft review read as a list of summaries with no clear line of argument and no identified research gap.

Our approach

We built a concept matrix from the existing sources, proposed a thematic structure aligned with the research objectives, and provided chapter-level feedback across two revision rounds.

What they received

  • Concept matrix built from the existing sources
  • Thematic structure outline
  • Two rounds of chapter-level feedback

The outcome

The revised chapter presented a coherent synthesis leading to a well-defined gap, which also strengthened the methodology justification in the following chapter.

Case study 03Data Analysis & PythonManagement

Statistical Analysis for a Management Research Project

Doctoral researcher, third year 4 weeks

The challenge

A doctoral researcher had collected survey responses from several hundred employees but was unsure whether the planned regression approach was appropriate for a multi-construct model with latent variables.

Our approach

We reviewed the research questions and instrument, recommended a structural equation modelling approach, checked reliability and validity, and walked the researcher through model specification and fit interpretation.

What they received

  • Analysis plan with the recommended model
  • Annotated output files and formatted results tables
  • Interpretation notes for the analysis chapter

The outcome

The researcher completed the analysis chapter with a clearly justified model, reported the results in the format the committee expected, and could explain every statistic in the viva.

Case study 04AI Algorithm DevelopmentComputer Science

Model Implementation and Evaluation for a Computer Science Thesis

Doctoral researcher, final year 6 weeks

The challenge

A researcher had proposed a deep-learning approach for detecting plant disease from leaf images, but the prototype code was unstructured, the results could not be reproduced, and reviewers of an earlier paper had asked for a comparison with standard baselines.

Our approach

We reorganised the code into a reproducible Python pipeline, set up fixed training, validation and test splits, added three baseline models for comparison, and walked the researcher through each experiment and its metrics.

What they received

  • Documented Python pipeline and Jupyter notebooks
  • Baseline comparison with metrics tables and figures
  • Walkthrough sessions and implementation notes

The outcome

The researcher could rerun every experiment from a single notebook, reported a fair comparison against the baselines in the thesis, and explained each design decision during the pre-submission review.

Case study 05Thesis & DissertationSocial Sciences

Restructuring a Social Sciences Thesis After Supervisor Feedback

Doctoral researcher returning after a break 10 weeks

The challenge

After a year away from the thesis, a scholar received supervisor feedback that the chapters did not connect: the findings were not linked to the research questions, and the discussion repeated the literature review.

Our approach

We read the full draft against the supervisor’s comments, agreed a chapter roadmap, and reviewed the results and discussion chapters in two rounds each, finishing with a consistency check of terminology, citations and formatting.

What they received

  • Chapter roadmap and milestone plan
  • Annotated drafts with tracked suggestions
  • Final consistency checklist

The outcome

The scholar rewrote the discussion around the research questions, met the revised submission date agreed with the supervisor, and could show how each chapter built on the last.

Case study 06Journal PublicationLife Sciences

Preparing a Thesis Chapter for Journal Submission

University research group 2 weeks

The challenge

A research group needed to turn a thesis chapter into a manuscript that met a target journal’s strict word limit, structure and reporting standards.

Our approach

We restructured the chapter into the journal’s format, condensed the methods, reformatted figures and references to the author guidelines, and prepared the cover letter and submission checklist.

What they received

  • Restructured manuscript in the journal’s format
  • Reformatted figures and references
  • Cover letter and submission checklist

The outcome

The group submitted the manuscript within the planned window with every editorial requirement met, and kept a reusable template for later submissions.

Every engagement is confidential, and the scholars remained the authors of their work. Outcomes depend on each scholar’s own research and their institution; we do not guarantee publication, grades or degree outcomes.

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