Data Analysis & Statistics
Qualitative Data Analysis
Thematic, content, framework and grounded-theory analysis in NVivo, MAXQDA or ATLAS.ti — with an audit trail.
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Who we help
Research Teams
An extra pair of methodological hands, for as long as you need them
Embedded analytical and methodological support for labs, departments, think tanks and funded projects, scoped by workstream or by period.
Funded projects are usually staffed for the average workload rather than the peak. Data collection finishes and suddenly four workstreams need analysing at once.
We work alongside your team on defined workstreams, using your conventions and tools, so the output integrates rather than sitting separately.
Usually stuck on one of these
- Analysis peaks that exceed the team at exactly the wrong moment
- A method the team has not used before
- Deliverables due to a funder while fieldwork is still running
- Analysis that cannot be reproduced when the postdoc leaves
If yours is not on the list, describe it on the project form — we read every brief properly rather than matching it to a menu.
Our commitment
What working with us means for you
Works inside your conventions
Your tools, your file structure, your naming — so it integrates.
Scoped by workstream
Defined pieces with defined deliverables, not open-ended time.
Reproducible handover
Scripts and documentation that outlive the individual.
Grant-compatible
Invoicing and documentation suited to funded-project reporting.
Most used
Services research teams actually use
Selected for this audience rather than listed in full — the complete catalogue is on the services page.
Academic Projects & Services
Systematic Review & PRISMA
Protocol, search strategy, screening, extraction and a PRISMA flow diagram that a reviewer can reproduce.
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Data Analysis & Statistics
Machine Learning & Predictive Modelling
Classification, regression and clustering with honest validation and interpretable output.
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Data Analysis & Statistics
Data Cleaning & Preparation
Missing values, outliers, recoding, merging and reshaping — the unglamorous work that decides whether the analysis is trustworthy.
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Technical & Programming
Python Development
Scripts, analysis pipelines, scrapers, APIs and automation, written to be read by someone other than the author.
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Business & Research
Business Surveys & Fieldwork
Customer, employee and market surveys designed, fielded and analysed end to end.
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Data Analysis & Statistics
Time Series & Forecasting
ARIMA, SARIMA, exponential smoothing, VAR and Prophet models, validated on held-out data.
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Creative & Presentation
Report & Document Design
Annual reports, technical reports and long documents laid out so they are actually read.
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Questions
Asked most often by research teams
Yes. We can invoice a department, institution or grant account with the documentation your finance office requires.
Yes. Where data cannot leave your environment we work on de-identified extracts, or advise your team to run the scripts we supply on your own infrastructure.
Next step
Tell us what you are working on
Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.
- Fixed quote agreed before any work begins
- A reference number you can quote on WhatsApp
- Confidential handling, and an NDA if you want one
- An honest answer if your deadline is not realistic
