Our methodological toolkit spans classic and cutting‑edge techniques. We select and combine methods based on the business research questions, not fashion. Every design is anchored in robust sampling, clear quality controls and ethical, privacy‑compliant fieldwork.

Core approaches

Mystery shopping

Structured, scenario‑based assessments of frontline and channel performance using trained fieldworkers. Ideal for service, compliance and CX validation.

Focus groups and in-depth interviews

Moderated group discussions and one‑to‑one interviews to explore consumer perceptions, motivations and language in depth, often used in exploratory and concept development phases.

Ethnography

Contextual, in‑situ observation to understand real‑world behaviours, routines and work‑arounds in homes, stores, branches or workplaces.

Netnography

Systematic analysis of online communities, forums and social platforms to understand organically occurring conversations, attitudes and norms.

Observation

Structured and unstructured shopper and behavioural observation in retail, service and public environments to map journeys, flows and decision points.

Survey and data collection techniques

  • Online surveys: Web‑ and mobile‑optimised surveys via panels, customer databases or open links. Suitable for fast, scalable, cost‑efficient quantitative measurement.

  • Computer‑assisted telephone interviewing (CATI): Phone‑based interviews using scripted instruments for segments that are harder to reach online or where interviewer guidance improves data quality.

  • Computer‑assisted personal interviewing (CAPI): Tablet‑based interviewing in locations where personal interaction is required, such as branches, rural areas or intercept studies.

  • Hybrid and omnichannel designs: Integrated use of online, CATI and face‑to‑face methods to achieve representative coverage and mitigate mode bias.

Participatory and innovative techniques

Photovoice and visual elicitation

Participants capture images that represent their experiences, providing rich stimulus for discussion and interpretation in social and community research.

Digital diaries and mobile ethnography

Short, repeated entries via smartphone apps capturing in‑the‑moment behaviours, decisions and emotions over time.

Online communities and bulletin boards

Short‑term or ongoing communities where participants respond to tasks, stimuli and discussions, ideal for iterative exploration and co‑creation.

User‑generated content and social listening

Structured mining of reviews, comments and social media posts to surface sentiment, issues and emerging themes around brands, categories or issues.

AI‑assisted analytics

Natural language processing and machine learning techniques to code open‑ended data at scale, identify patterns and enhance decision-making.

Underpinning principles

Our methods are always underpinned by robust sampling and weighting frameworks, clear quality-control protocols, and ethical, privacy-compliant fieldwork and data management practices.