Grounded Theory: What It Is and How to Use It in Qualitative Research

A researcher walks into a new field with no existing theory to test, only a stack of interviews, field notes, or open-ended survey responses. Traditional hypothesis-driven methods have nothing to offer here, because there is no hypothesis yet. Grounded theory exists to close exactly that gap.

Grounded theory is a qualitative research method that builds theory directly from data instead of testing a theory that already exists. Barney G. Glaser and Anselm L. Strauss developed it in the 1960s. It remains one of the most widely used approaches for studying social processes, behaviors, and experiences that no existing theory fully explains.

In this blog, we break down what grounded theory means and the three main approaches researchers use today. We also cover the step-by-step coding process, real examples across different fields, and how a research platform fits into a grounded theory project.

What is grounded theory?

Grounded theory is a qualitative research method that builds theory through systematic analysis of the data, instead of imposing an existing framework on it. Researchers collect data first, code it in stages, and let patterns and concepts surface on their own.

The method sits apart from most other empirical research approaches because it does not start with a hypothesis. It is inductive by design: the theory is the output of the analysis, not the starting point.

A few things distinguish grounded theory from other qualitative approaches:

• It generates a theory as the end result, not just a description of themes.
• It relies on constant comparison, meaning every new piece of data gets compared against what has already been coded.
• It uses theoretical sampling, so the researcher deliberately seeks out data that will test or expand the emerging theory.
• It continues until theoretical saturation, the point where new data stops adding anything new to the theory.

What are the types of grounded theory?

Three main traditions have developed since 1967, and researchers often confuse them because they share vocabulary but not philosophy. Glaser and Strauss originally worked together, then split over how much structure the method should impose on the researcher. Kathy Charmaz later added a third, more interpretive version.

Classic grounded theory treats the researcher as a neutral observer. Straussian grounded theory gives beginners a clearer coding manual to follow. Constructivist grounded theory, the most commonly taught version today, accepts that the researcher’s background shapes what gets noticed and interpreted. It asks researchers to be transparent about that influence rather than pretend it isn’t there.

When should you use grounded theory research?

Grounded theory works best when a topic has little existing theory to draw on. Consider it when your research fits one of these situations:

• You are exploring a new or under-studied area and need to generate concepts rather than test them.
• You are studying a complex social process, behavior, or cultural pattern with many moving parts.
• You are examining a fast-changing or emergent phenomenon where existing frameworks have not caught up yet.
• You want to build a new theoretical framework grounded in real evidence rather than assumption.
• You need a deep, contextual understanding of participant perspectives that a fixed hypothesis would flatten.
• You work in a practice-based field, such as education, healthcare, or social work, where the goal is a theory that informs real decisions.

If your research question already has a well-tested theory behind it, a confirmatory or quantitative design usually serves you better than grounded theory.

What are the key steps in the grounded theory process?

The process is iterative, so researchers move back and forth between these steps rather than completing them in strict order. Most grounded theory studies still follow this general sequence:

1. Data collection.
   Gather interviews, observations, or documents. Strong qualitative data collection methods at this stage set the ceiling for how rich the resulting theory can be.

2. Open coding.
   Break the data into small segments and assign initial labels without forcing them into pre-existing categories.

3. Axial coding.
   Group related codes into broader categories and start mapping relationships between them.

4. Selective coding.
   Identify the core category that the rest of the theory revolves around, then connect every other category back to it.

5. Constant comparison.
   Compare each new piece of data against existing codes and categories throughout the entire process, not just at the end.

6. Theoretical sampling.
   Choose new participants or data sources specifically because they can challenge or extend the developing theory.

7. Saturation.
   Stop collecting data once new information no longer changes the theory in any meaningful way.

8. Writing the theory.
   Turn the categories and relationships into a coherent narrative that explains the phenomenon.

Careful qualitative data analysis at every coding stage is what keeps the resulting theory grounded in evidence instead of the researcher’s assumptions.

What are real-world examples of grounded theory research?

Grounded theory shows up most often in fields where a new or poorly understood behavior needs explaining rather than measuring. In healthcare, nursing researchers have long used it to explain how patients build coping routines after a chronic diagnosis. No existing model fully captured that lived process before grounded theory studies filled the gap.

In technology and community research, grounded theory helps explain how norms form inside a new online community. A researcher might code discussion threads and moderator actions to build a theory of how trust and self-policing develop among strangers over time.

In workplace research, researchers have used grounded theory to explain how distributed teams build trust without in-person contact. That area shifted quickly enough that older theories of workplace trust stopped applying cleanly. In each case, the researcher did not start with a model of coping, community norms, or trust; the model came out the other end of the coding process.

Grounded theory vs. Thematic analysis vs. Case study: How do you choose?

All three are qualitative methods, but they answer different kinds of questions. Picking the wrong one is a common source of weak research design.

Choose grounded theory when the goal is to build something new and explanatory. Choose thematic analysis when the goal is to describe what is already there. Choose a case study when the value lies in one particular context rather than a generalizable process.

What are the advantages and disadvantages of grounded theory?

Grounded theory has real strengths and real limitations, and both should factor into whether it fits your project.

Advantages:

• Produces fresh, data-driven theory instead of forcing findings into an existing model.
• Adapts well to dynamic, evolving, or unfamiliar research contexts.
• Builds a holistic, contextually rich understanding of the phenomenon.
• Generates new concepts and frameworks that other researchers can test later.

Disadvantages:

• Takes considerably more time and effort than a fixed-hypothesis design.
• Leaves room for researcher bias to shape which patterns get noticed.
• Lacks a single standardized procedure, which can make replication difficult.
• Does not produce quantitative or statistically generalizable results.

How do you measure saturation and rigor in grounded theory?

Saturation is the main marker of when a grounded theory study is complete, and it needs a concrete standard rather than a gut feeling. A SAGE-published sample size review recommends 20 to 30 or more interviews for grounded theory studies, drawing on prior work by Glaser, Strauss, and Charmaz. The exact number still depends on the scope of the research question.

Use these concrete checks to judge saturation and rigor:

• Track whether the last three to five interviews or data sources added any new codes; if not, saturation is likely reached.
• Keep a memo trail for every category, showing how and why it evolved during coding.
• Run a negative case check: actively look for data that contradicts the emerging theory instead of only data that confirms it.
• Have a second coder independently code a sample of the data and compare results for consistency.
• Document an audit trail of coding decisions so another researcher could follow your reasoning.

What common mistakes should you avoid in grounded theory research?

A few recurring mistakes weaken grounded theory studies even when the topic and data are strong:

• Forcing data into an existing theory or framework instead of letting categories emerge from the coding.
• Stopping data collection before reaching genuine saturation, often due to time pressure.
• Skipping memo-writing, which makes it hard to reconstruct why a category took shape the way it did.
• Mixing coding traditions inconsistently, such as blending classic and Straussian steps without acknowledging the philosophical trade-off.
• Treating grounded theory as a synonym for general qualitative coding rather than a full theory-building process.
• Choosing a qualitative data analysis software purely for convenience without checking it supports iterative, comparative coding.

How can QuestionPro support grounded theory research?

QuestionPro’s role in a grounded theory project sits mainly at the data collection and early coding stages. Researchers can build surveys, discussion boards, or online communities with open-ended questions to gather the rich qualitative data that grounded theory depends on. They can then export those responses for open and axial coding in a dedicated qualitative analysis tool.

QuestionPro’s specific edge beyond plain data collection shows up in text analysis: it can surface recurring words, sentiment, and early thematic clusters in open-ended responses before a researcher starts manual open coding. That does not replace the interpretive work grounded theory requires, but it gives researchers a faster starting map of the data before axial and selective coding begin.

Grounded theory still earns its place in modern qualitative research

New platforms, communities, and behaviors keep emerging faster than existing theory can explain them, and that gap is exactly why grounded theory still matters. The method asks more patience and discipline than most qualitative approaches, but the payoff is a theory built from evidence rather than assumption.

Three things to remember before starting a grounded theory study:

• Pick a tradition (classic, Straussian, or constructivist) and stay consistent with its coding logic.
• Plan for saturation, not a fixed number of interviews decided in advance.
• Keep memos throughout, not just at the end.

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