Straight answers before you hire a statistician.

We are a statistics and data analytics consultancy. We analyze research and survey data, clean and validate datasets, build dashboards, review product and user data, set up process control, coach teams in statistics and build responsible AI automation.

A core team of two PhD and two MPhil statisticians. Every project is delivered or reviewed by a qualified statistician.

We work remotely with clients in the US, UK, Canada and Australia, and with international organizations elsewhere. Calls are scheduled to suit your working hours.

SPSS, R and RStudio, Stata, Excel, SQL, Python and Power BI, with NVivo for qualitative data and EndNote, Zotero or Mendeley for references.

Most work is quoted as a fixed price after a free assessment of your data and goals, so you know the full cost before anything starts.

It depends on the size of the data and the analysis. We give you a timeline with the quote and keep you updated as the work progresses.

Depending on the service: cleaned data, tables and charts, a written interpretation, dashboards or automations, plus the code or syntax so the work can be repeated.

Yes. Many clients use monthly retainers for recurring reporting, dashboard maintenance or analysis support.

Files are shared through secure links, used only for your project and deleted on request after delivery. We are happy to sign an NDA, and anonymized data is welcome.

Yes, with de identified data and appropriate safeguards. We will advise on anonymization before you share anything sensitive.

No. For AI projects we choose providers and settings that do not use your business data for model training.

No. We offer analysis support, methodology advice and coaching that you can disclose to your supervisor, in line with your institution’s rules.

Yes. We review your research questions and data and recommend suitable methods, with an explanation you can use in your methods chapter. Our guide on choosing a statistical test is a good starting point.

Yes. Our Product Insight Review helps product, growth and startup teams answer one product question with evidence, such as why trial users leave or which features keep customers coming back.

Usually an export of users with sign up dates, key events and outcomes such as activation, purchase or cancellation. Pseudonymized user IDs are preferred, and we agree the exact fields during the free assessment.

Yes. We build chatbots that answer from your own documents using retrieval augmented generation, tested for accuracy before launch.

It can be, depending on the website’s terms, the data involved and applicable law. We review this before every project and decline work that is not appropriate.

We test every assistant on real questions, report accuracy with a confidence interval, and build in human review for sensitive actions.