Roles Engagement Models Our Process Packages Tools FAQ

What your Research Assistant can do

Literature Search & Review

Structured searches, screening, PRISMA docs, synthesis and gap mapping with citable notes.

Survey & Instrument Design

Questionnaires, interview guides, piloting, reliability checks, ethics-ready documentation.

Data Collection & Cleaning

Sampling plans, data capture (REDCap/Qualtrics), coding books, tidy datasets.

Statistical Analysis

Descriptives, inference, regression, mixed models, power; assumptions & effect sizes reported.

Qualitative Analysis

Thematic/grounded coding (NVivo/ATLAS.ti), intercoder reliability, evidence-rich narratives.

Visualisation & Reporting

Publication-ready figures/tables with concise, defendable interpretations.

Manuscript & Formatting

Journal guideline compliance, reference styling, cover letters, submission packs.

Reference Management

EndNote/Zotero libraries, de-duplication, metadata cleanup, citation integrity checks.

Flexible engagement models

Hourly Support

Perfect for quick, well-defined tasks minor analysis, formatting, or brief literature updates.

Milestone-Based

Clear deliverables each stage: proposal, methods, analysis, manuscript tracked to your timeline.

Full-Cycle Project

End-to-end: scoping to submission, with regular reviews and versioned outputs.

On-Call Retainer

Guaranteed monthly hours with priority response during busy phases.

Our process

1 Discovery

We clarify aims, scope and target guidelines; share rubrics/templates if available.

2 Scope & Quote

You receive a precise plan with effort estimates, milestones and dates.

3 Kickoff & Security

Access set-up; NDAs as needed; versioned files and backups.

4 Work Sprints

Iterative progress with check-ins; you see drafts, analyses, and figures.

5 Review & Revisions

Your feedback drives refinements until everything aligns.

6 Delivery & Handover

Final docs, raw data, code and change log ready for submission.

Quality & Integrity

  • Original, plagiarism-checked writing with accurate citation and style compliance
  • Transparent statistics: assumptions, effect sizes, and limitations reported
  • Confidential handling of data and materials; NDAs on request

Popular packages

Starter (10 hrs)

Custom quote

A single focused task small dataset cleanup, quick figures & tables, or compact literature update. Includes 1 review cycle.

Standard (25 hrs)

Custom quote

Great for a chapter or journal section: design + analysis + write-up + reference styling. Includes 2 review cycles.

Intensive (60 hrs)

Custom quote

Deeper coverage for methods & results, multiple analyses, and full manuscript polishing. Includes 3 review cycles.

Publication Pack

Custom quote

Submission-ready: journal selection check, formatting, cover letter, and response-to-reviewers drafting.

Rates depend on scope, domain, data condition and turnaround. You’ll get a precise quote after discovery.

Tools we use

Fluent with mainstream academic, statistical and writing platforms:

SPSS R Python Stata NVivo ATLAS.ti Excel Power BI LaTeX Overleaf EndNote Zotero Mendeley REDCap Qualtrics Jamovi

Frequently asked questions

Send your brief via the contact form. We’ll schedule a short discovery call and share a scoped plan with timeline and a clear quote.

Small tasks finish in days; chapters and manuscripts take weeks with staged milestones. We’ll confirm dates before kickoff.

NDAs on request, restricted access, version-controlled folders, and secure storage. Your files are shared only with the assigned specialist.

Yes everything is written from scratch, checked with plagiarism tools, and correctly cited to your required style.

Absolutely. We follow APA, MLA, Chicago, Harvard, IEEE, AMA, and journal-specific author guidelines (formatting, references, figures, tables).

R, Python, SPSS, Stata, NVivo/ATLAS.ti, Excel, LaTeX/Overleaf, EndNote/Zotero. Deliverables can be .docx, .pdf, .tex, .xlsx, .csv, .R/.py, and more.

Yes. Review cycles are built into every package. We refine until the agreed rubric and scope are fully met.

We can prepare methods summaries, consent drafts, de-identification plans, and data-handling notes. Final IRB approval remains with your institution.

Based on scope, domain complexity, data condition, and turnaround. We use milestone-based invoices after discovery and before each stage begins.

Submission-ready documents plus all source files: datasets, code, figures, references, and a change log—so your work is reproducible and future-proof.