Who it’s for
Researchers, analysts, and insight professionals
Teams working with survey, behavioural, or secondary data
Anyone responsible for turning data into recommendations
A basic familiarity with data is helpful but advanced statistical knowledge is not required.
What you’ll cover
Choosing the right level of analysis for your question
Interpreting patterns without overclaiming
Common analytical mistakes and how to avoid them
Making data legible to non-technical audiences
Principles of effective data visualisation
Communicating uncertainty and limitations clearly
Format & delivery
Duration: Full day (6–8 hours)
Delivery: In-person at the client’s office only
Group size: As per agreed pricing tier
What’s included
Facilitated workshop
Conceptual frameworks and worked examples
Group discussion and applied exercises
What’s not included
Catering or refreshments
Software training for specific tools (e.g. SPSS, R, Tableau)
Bespoke analysis of client datasets unless agreed separately
Practical requirements
Participants should bring laptops
Example datasets are useful but not required
Suitable room for discussion and projection
Commercial & logistical notes
Prices are exclusive of VAT
Travel outside London charged separately
Workshop focuses on interpretation and judgement, not statistical certification