Exploratory research: definition, 4 methods, and when to use it

Exploratory research is a preliminary form of inquiry used when a topic is new, poorly understood, or poorly defined. Rather than testing hypotheses, it generates them. The main methods are literature reviews, expert interviews, focus groups, and case studies. Exploratory research typically precedes descriptive or confirmatory work, and it is almost always qualitative in approach.

What is exploratory research?

The most widely cited definition comes from Robert Stebbins, whose 2001 book for Sage established the methodological foundations of exploratory inquiry in the social sciences. According to Stebbins, social science exploration is "a broad-ranging, purposive, systematic, prearranged undertaking designed to maximize the discovery of generalisations leading to description and understanding."

In plain terms: you use exploratory research when you do not yet know what you are looking for. You have a topic, a domain, or a problem, but the relevant variables, categories, and relationships have not yet been established. The goal is to understand enough about a phenomenon to ask better questions later.

This is distinct from most formal research designs, which assume you already know what to measure and what to compare. Exploratory research deliberately withholds that assumption. It asks "what is going on here?" before asking "how much?" or "why does X cause Y?"

The approach is common at the beginning of academic research programmes, at the start of consulting engagements, and whenever a business enters an unfamiliar market or problem domain. In all these contexts, the cost of measuring the wrong thing, or measuring before you understand what matters, is high. Exploratory research reduces that cost.

How does exploratory research differ from descriptive and explanatory research?

The three terms are sometimes confused, but they describe distinct purposes.

	Exploratory	Descriptive	Explanatory
Core question	What is going on here?	What does this look like?	Why does this happen?
Stage	Beginning of inquiry	Middle stage	Advanced stage
Prior knowledge required	Minimal	Some	Substantial
Typical methods	Literature review, interviews, focus groups, case studies	Surveys, observational studies, secondary data	Experiments, regression, structural equation modelling
Output	Hypotheses, frameworks, research questions	Profiles, frequencies, patterns	Causal explanations, predictions
Data type	Mostly qualitative	Quantitative and qualitative	Mostly quantitative
Generalisability	Low; not the goal	Moderate to high	High; the goal

Exploratory research produces questions and hypotheses; descriptive research characterises what a phenomenon looks like at scale; explanatory (or confirmatory) research tests whether a proposed causal mechanism holds.

The sequence is not always linear. In practice, researchers often cycle between stages. A focus group surfaces a hypothesis (exploratory), a survey tests its prevalence (descriptive), and a controlled study establishes causation (explanatory). But the cycle only works if the exploratory stage is done properly. Poorly scoped exploratory research produces poorly formed hypotheses, which in turn produce inconclusive confirmatory studies.

The relationship between exploratory and inductive research is close but not identical. Exploratory work is almost always inductive (building upward from observations to theory), but not all inductive research is exploratory. Thematic analysis of 40 interviews can be inductive without being exploratory, if the research questions are already well defined.

When should you use exploratory research?

Use exploratory research when one or more of these conditions hold:

The phenomenon is new or emergent. A new technology, a regulatory change, a cultural shift, a novel business model. When there is limited prior literature to draw from, you cannot yet specify what to measure.

The problem is vague or poorly defined. A company knows something is wrong (sales are falling, employees are disengaged, customers are churning), but does not know what "it" is. Before deploying a quantitative study, you need to understand the problem space.

The existing literature is contradictory or thin. If prior studies point in different directions, or if the literature is sparse, exploratory work can establish what is actually happening in a specific context before trying to generalise.

You need to develop instruments. Surveys and structured interview protocols are only as good as the categories they use. If the categories are wrong, the data is misleading. Exploratory research generates the categories that make later instruments valid.

You are entering an unfamiliar domain. Consultants moving into a new sector, product teams entering a new market, academics pivoting to a new field. Exploratory work builds the working knowledge needed to ask useful questions.

What exploratory research is not suited for: estimating the prevalence of something, confirming a causal mechanism, or producing findings that are generalisable to a defined population. If your stakeholders need statistical confidence, exploratory research is the precursor to what they need, not the answer itself.

What are the 4 main methods of exploratory research?

1. Literature review

A systematic examination of existing published work on a topic. Literature reviews serve an exploratory function by mapping what is already known, identifying where knowledge is absent or contested, and surfacing the conceptual frameworks that other researchers have found useful.

In academic research, the literature review is how researchers establish the gap that justifies a new study. In applied research, it might be a faster scan of industry reports, analyst notes, and prior primary research to understand what a domain looks like before committing to field work.

The output of a literature review in an exploratory mode is not a summary of what is known. It is a map of the terrain: where knowledge exists, where it is absent, and where the most productive questions lie. For academic researchers, the distinction between a descriptive lit review and an exploratory one is significant. The former catalogues; the latter orients.

2. Expert interviews

One-to-one conversations with people who have deep knowledge of the domain under investigation. Expert interviews are one of the fastest ways to build working knowledge of an unfamiliar field, because the interviewee can explain context, nuance, and implicit knowledge that no document captures.

In academic research, expert interviews are used in the early stages of a project to understand how practitioners make sense of a phenomenon before the researcher designs a full data collection protocol. In consulting, they are the centrepiece of primary research, used to build a picture of a market, an industry, or a competitive dynamic. McKinsey research routinely begins with a round of expert interviews before the analytical framework is finalised.

A well-run exploratory expert interview is deliberately open-ended. The goal is not to test propositions but to surface perspectives you had not anticipated. This requires a discussion guide that is broad enough to allow the conversation to go where the interviewee's knowledge leads.

For a practical guide to designing and running effective expert interviews, see customer discovery interviews: a practical guide and how to conduct effective business interviews. Consultants and investors routinely use this method as their primary exploratory tool.

3. Focus groups

Group discussions with typically six to ten participants, facilitated by a researcher. Focus groups are particularly useful in exploratory research because they surface the language participants use to describe a phenomenon, reveal areas of consensus and disagreement, and allow themes to emerge that no individual interview would have generated.

The group dynamic is the methodological feature. Participants respond to each other, elaborate on points made by others, and sometimes correct each other. This produces a richer picture of how a topic is understood socially than individual interviews alone.

In market research, focus groups are a classic exploratory tool: used before a product launch to understand how potential customers think about a problem space, what language resonates, and what objections emerge. According to the GRIT Insights Practice Report, in-person focus groups were employed by 58% of researchers, making them one of the most widely used qualitative methods in the industry.

Focus groups are less suited for sensitive topics (participants self-censor in groups) and for understanding individual variation in depth. For a detailed comparison of when to use each approach, see focus groups vs individual interviews.

4. Case studies

In-depth investigation of one or a small number of cases: an organisation, a project, a policy, a market, an event. Case study research is suited to exploratory work because it allows researchers to examine a complex phenomenon in its real-world context using multiple sources of evidence (interviews, documents, observations).

Robert Yin's foundational text on case study research identifies the exploratory case study as distinct from descriptive and explanatory variants. An exploratory case study, in Yin's framework, is one whose purpose is to identify the research questions and procedures that a subsequent study should use. The case is a laboratory for question generation, not answer generation.

In business research, exploratory case studies often take the form of deep dives into a single customer, a single competitor, or a single failed initiative. The goal is not to generalise from this one case but to understand what happened in enough detail to generate useful hypotheses about why.

For an introduction to qualitative research methods more broadly, including how case studies fit within the wider landscape, see our overview guide.

What does exploratory research look like across different industries?

The methods are consistent across contexts; what changes is the domain and the downstream use of the findings.

Academic research. A sociology PhD student studying gig economy workers begins with a literature review to understand existing theory, conducts 10 exploratory interviews with gig workers to understand how they experience their work, and uses those interviews to develop the more focused research questions for a formal study. The exploratory phase produces the conceptual vocabulary for everything that follows.

Market research. A consumer goods company planning to enter the plant-based protein category runs four focus groups with health-conscious 25-40-year-olds in two cities. The groups surface the vocabulary participants use, the competitive set they consider, the product attributes they prioritise, and the objections they have. This information shapes the quantitative survey that follows. According to Backlinko's market research statistics, 87% of market researchers conduct at least half of their qualitative research remotely or online, suggesting this kind of exploratory work is now largely conducted via video-based focus groups.

For market researchers, the exploratory phase is often where the most valuable insights live. Quantitative studies confirm patterns that focus groups and interviews first reveal.

Management consulting. A strategy team advising a European industrial manufacturer on entering the US market begins with six expert interviews with former executives of US competitors, distributors, and industrial buyers. The interviews surface channel dynamics, pricing norms, and regulatory considerations that desk research had not captured. These findings shape the analytical framework for the rest of the engagement.

Product development. A SaaS product team is seeing elevated churn in a specific user segment. Before building a fix, they run eight exploratory interviews with recently churned users. The interviews reveal that churn is not driven by the product feature they had assumed, but by an onboarding problem that emerged six weeks into the subscription. The exploratory interviews prevented the team from building the wrong solution.

Policy research. A government department commissioning research on the barriers to rural broadband adoption runs a series of community discussions in rural areas before designing the formal consultation. The discussions surface issues (concerns about surveillance, distrust of telecoms companies, problems with device ownership) that the department had not anticipated, and which a survey designed without this knowledge would have missed entirely.

How do you move from exploratory to confirmatory research?

Exploratory research ends when you have enough understanding to ask a precise question. In practice, that transition involves four steps.

Synthesise findings into hypotheses. After exploratory interviews or focus groups, the researcher identifies recurring patterns, tensions, and surprising findings, and converts these into testable propositions. "Customers who churn within 90 days appear to have never completed the onboarding tutorial" is a hypothesis that a behavioural dataset can now confirm or refute.

Define the research question precisely. Exploratory work typically produces multiple possible directions. At the transition point, the researcher narrows these to the question that matters most for the purpose at hand, given time and budget constraints.

Select the appropriate confirmatory method. Depending on the question, this might be a survey, a controlled experiment, an analysis of administrative data, or a larger qualitative study with more structured protocols. The method should match the nature of the claim being tested.

Design appropriate instruments. Surveys, interview protocols, and coding frameworks developed after exploratory work are more valid than those developed without it, because the categories and language used come from the population being studied rather than from the researcher's prior assumptions.

This sequence is also described in methodological terms as moving from inductive to deductive reasoning, or from hypothesis generation to hypothesis testing. Mixed methods research designs often formalise this transition by including both an exploratory qualitative phase and a confirmatory quantitative phase in the same study.

What are the most common mistakes in exploratory research?

Treating exploratory findings as conclusions. The most common error is drawing definitive conclusions from exploratory data. Ten interviews can tell you that a pattern is plausible and worth investigating; they cannot tell you that the pattern is universal or causal. When exploratory findings are presented to stakeholders as definitive, they invite the wrong decisions.

Over-structuring the data collection. Exploratory work requires flexibility. An interview protocol with 25 closed questions will not surface what you do not already know. The interviews need enough open space for participants to take the conversation where their experience leads. This is methodologically uncomfortable for researchers trained in structured survey methods, but it is the source of exploratory research's value.

Skipping the exploratory phase to save time. Quantitative studies designed without prior exploratory work frequently measure the wrong things. The time saved by skipping the exploratory phase is lost many times over when the quantitative results are inconclusive because the survey categories did not match how participants actually think about the topic.

Sampling too narrowly. Exploratory research benefits from deliberate variation in sampling. If you only interview enthusiastic early adopters, you will not encounter the objections and friction points that other segments experience. Purposive sampling in exploratory research should seek diversity of perspective, not homogeneity.

Conflating exploratory and qualitative research. Exploratory research is almost always qualitative, but qualitative research is not always exploratory. A 60-interview study with a fully developed coding framework is qualitative but not exploratory. Making this distinction matters because the standards for rigour are different: exploratory work is judged on richness of discovery, not on whether it confirms pre-specified hypotheses.

Forgetting the audit trail. Even exploratory work should be documented: who was interviewed, how participants were selected, what the discussion guide looked like, how findings were derived from the data. Without this documentation, the transition to confirmatory research is harder, and the exploratory findings cannot be assessed by others.

Tools like Skimle make the documentation and synthesis of exploratory qualitative data more systematic. When you are running 10-20 exploratory interviews, AI-assisted thematic analysis can surface patterns across transcripts in hours rather than weeks, helping you move to the confirmatory phase faster while maintaining transparency from findings back to source data. If you are working with qualitative market research, the ability to analyse multiple exploratory focus groups or interview sets simultaneously is particularly valuable.

Frequently asked questions

What is the difference between exploratory research and qualitative research?

Exploratory research is a purpose; qualitative research is a method. Exploratory research uses qualitative methods because those methods are best suited to open-ended discovery. But qualitative research is not always exploratory: a structured interview study with a pre-defined coding framework can be qualitative without being exploratory. The distinction matters because the two terms are often used interchangeably in introductory texts, which leads to confusion about standards and design choices.

Can exploratory research be quantitative?

Occasionally. Exploratory data analysis (EDA) in statistics involves plotting distributions and looking for unexpected patterns in a dataset before applying confirmatory models. A social media scrape analysed for emerging language patterns is quantitative but exploratory in purpose. However, the majority of exploratory research in the social sciences and business contexts uses qualitative methods, because text-based methods are better suited to generating rich, unexpected findings.

How many participants do you need for exploratory research?

Fewer than you might expect. Exploratory interviews often reach meaningful saturation (the point at which new interviews stop producing new themes) at 10-20 participants, depending on the topic and the diversity of the population. Robert Yin's exploratory case study methodology sometimes works with a single case. The principle is theoretical richness, not statistical representativeness. For more on this, see qualitative research sample size.

What is the difference between exploratory and pilot research?

A pilot study tests whether a research instrument (a survey, an interview protocol, a measurement scale) works as intended before committing to full-scale data collection. Exploratory research is broader: its goal is to understand a phenomenon, not to test an instrument. A pilot study might be part of an exploratory phase, but exploratory research encompasses much more than instrument testing.

How do I report exploratory research findings?

Be clear about the exploratory nature of the work. Report the methods used, the sample characteristics, and the themes or hypotheses generated. Do not overstate confidence: use language like "suggests," "indicates," or "warrants further investigation" rather than "demonstrates" or "proves." Exploratory findings are the starting point for a research programme, not the end point. For guidance on research design and budget allocation across a full project, see qualitative research design and budget.

Ready to analyse your exploratory qualitative data more efficiently? Try Skimle for free and move from exploratory interviews to structured findings in a fraction of the time, with full traceability from every insight back to source data.

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About the authors

Henri Schildt is a Professor of Strategy at Aalto University School of Business and co-founder of Skimle. He has published over a dozen peer-reviewed articles using qualitative methods, including work in Academy of Management Journal, Organisation Science, and Strategic Management Journal. His research focuses on organisational strategy, innovation, and qualitative methodology. Google Scholar profile

Olli Salo is a former Partner at McKinsey & Company where he spent 18 years helping clients understand the markets and themselves, develop winning strategies and improve their operating models. He has done over 1000 client interviews and published over 10 articles on McKinsey.com and beyond. LinkedIn profile