Grounded theory

Grounded theory is a primarily qualitative research approach used to build explanations directly from empirical data rather than to test a predefined theory. In market research, it is valuable when customer behavior, decision processes, needs, barriers or category meanings are not yet sufficiently understood.

The central value of grounded theory methodology lies in its disciplined movement between data collection, coding, comparison and theory development. It helps researchers generate concepts that are grounded in what respondents actually say, do and experience.

What is Grounded theory?

Grounded theory is a methodology for developing theory inductively and iteratively from qualitative data. It was introduced by Barney Glaser and Anselm Strauss as an alternative to research designs in which hypotheses are formulated before fieldwork and then verified against evidence. In grounded theory, the researcher does not start with a fully specified model of the phenomenon. Instead, the model emerges through systematic analysis of interviews, observations, documents, diaries, online communities, service interactions or other qualitative material.

In the context of market research, grounded theory is used to understand patterns that are not yet well described by existing segmentation, funnel, brand equity or customer experience frameworks. It is particularly relevant when the research objective is exploratory: identifying how buyers define value, how users integrate a product into everyday routines, how professional decision makers construct risk, or how customers explain trust, frustration, loyalty and switching behavior.

Grounded theory methodology is based on several core principles. The most important are:

• Inductive theory building – concepts are developed from data rather than imposed in advance.
• Constant comparison – each new piece of data is compared with previous data, codes and emerging categories.
• Iterative data collection and analysis – analysis begins during fieldwork, not after all material has been collected.
• Theoretical sampling – further respondents, cases or contexts are selected because they can refine, challenge or expand emerging categories.
• Coding and categorization – raw statements and observations are transformed into analytical codes, then into broader categories and relationships.
• Theoretical saturation – fieldwork continues until additional data no longer substantially changes the emerging explanation.

Grounded theory should not be understood as a loose form of qualitative interpretation. It is a structured analytical logic that requires transparent coding, systematic comparison, memo writing and an explicit link between evidence and conclusions. Its output is not only a list of themes, but an explanatory model showing how categories relate to one another.

Application of Grounded theory in practice

Grounded theory is applied when an organization needs to understand a market phenomenon before designing measurement, strategy or product decisions around it. In practice, it is used by qualitative researchers, market insight teams, UX researchers, customer experience analysts, innovation teams and brand strategists.

Typical business situations in which grounded theory is useful include:

• New category exploration – identifying how consumers or business buyers understand a category that is still emerging or poorly defined.
• Customer journey research – discovering how customers interpret stages of choice, purchase, onboarding, usage and renewal.
• Brand perception research – explaining how people construct trust, credibility, relevance or distance toward a brand.
• B2B decision process analysis – mapping how stakeholders define risk, justify decisions and negotiate internal priorities.
• Product and service innovation – detecting unmet needs, workarounds, tensions and contextual triggers that may inform product development.
• Churn and loyalty research – understanding why customers stay, reduce usage, switch providers or disengage emotionally before they leave.

A practical example is research into why small business owners adopt or reject a digital accounting tool. A conventional study might begin with predefined drivers such as price, usability, trust and integrations. A grounded theory study would begin with open interviews and analyze how owners describe control, anxiety, delegation, legal responsibility, time pressure and confidence in external advisors. The resulting model may show that adoption is not driven only by feature evaluation, but by the owner’s perceived ability to maintain control over financial decisions.

This illustrates how grounded theory is applied in qualitative research: the researcher collects data, codes respondent language, compares cases, writes analytical memos, adjusts sampling and gradually develops a conceptual explanation. In market research, this explanation can later inform survey design, segmentation variables, message testing, concept development or customer experience metrics.

Hume’s Institute may use grounded theory as part of qualitative or mixed-methods projects when the client’s objective is to uncover mechanisms behind observed market behavior rather than only measure its frequency. The method is especially useful before quantitative research, because it can define the right constructs and language for later measurement.

Grounded theory and related methods

Grounded theory belongs to the broader family of qualitative research methods, but it has a specific purpose: generating explanatory theory from data. It is related to, but not identical with, thematic analysis, ethnography, phenomenology, narrative analysis and case study research.

The main distinctions are as follows:

• Grounded theory vs thematic analysis – thematic analysis identifies and organizes patterns of meaning, while grounded theory aims to build an explanatory model showing relationships between categories.
• Grounded theory vs ethnography – ethnography focuses on cultural practices and meanings within a social setting, while grounded theory focuses on conceptual explanation across cases.
• Grounded theory vs phenomenology – phenomenology examines lived experience and its essence, while grounded theory explains processes, actions and conditions.
• Grounded theory vs case study – case study research investigates a bounded case in depth, while grounded theory uses cases as material for developing transferable concepts.
• Grounded theory vs hypothesis testing – hypothesis testing evaluates predefined assumptions, while grounded theory develops assumptions from the data itself.

Grounded theory methodology is often combined with other research approaches. In mixed-methods research, it can be used in the exploratory phase to identify variables, language and mechanisms that are later measured quantitatively. In UX research, it may be combined with usability testing, diary studies or contextual inquiry. In B2B research, it can support depth interviews with decision makers, expert interviews and analysis of sales or customer success documentation.

Grounded theory can also support triangulation. Emerging categories can be compared with survey data, CRM data, behavioral analytics, social listening, web scraping outputs or internal operational data. This does not change the qualitative nature of grounded theory, but it can strengthen interpretation by checking whether the generated explanation is consistent with other forms of evidence.

How to conduct Grounded theory research?

A grounded theory study follows an iterative sequence rather than a rigid linear plan. The exact procedure depends on the research problem, available data and methodological tradition, but several steps are common in applied market research.

1. Define the research problem – formulate an open question about a process, behavior or meaning, for example how buyers evaluate risk in a new technology category.
2. Collect initial qualitative data – conduct interviews, observations, customer conversations or document analysis without forcing responses into a predefined model.
3. Code the material – identify relevant fragments, actions, meanings, conditions and consequences in the data.
4. Compare cases continuously – check similarities and differences between respondents, segments, contexts or situations.
5. Write analytical memos – document emerging interpretations, questions, tensions and possible relationships between categories.
6. Use theoretical sampling – select additional respondents or data sources to challenge and refine the developing explanation.
7. Develop categories and relationships – move from descriptive codes to higher-level concepts and a structured model.
8. Assess saturation – evaluate whether new data still changes the explanation in a meaningful way.
9. Translate findings into business implications – connect the grounded model with decisions about positioning, product design, communication, service improvement or further measurement.

The main limitation of grounded theory is that it requires methodological discipline and analytical time. Poorly executed grounded theory may become ordinary thematic reporting with a more ambitious label. The method also depends on the quality of sampling, depth of data and transparency of coding decisions.

Used appropriately, grounded theory provides market research with a reliable way to move from qualitative evidence to explanatory insight. It is most valuable when the organization needs to understand not only what customers think, but how their interpretations, decisions and behaviors are formed.