What is a mixed-methods research approach? (And when should you use it?)

Mixed-methods research is increasingly popular across health, social research, and policy, but what does it actually mean, and when is it the right approach?

In simple terms, a mixed-methods approach combines quantitative data (numbers, surveys, statistics) with qualitative insights (interviews, focus groups, lived experiences). Rather than choosing one or the other, researchers integrate both to develop a richer, more complete understanding of a problem.

Why use mixed methods?

Using a single method can limit what you learn. For example, surveys might tell you what is happening, but not why. Interviews provide depth, but may not show how widespread an issue is. Mixed methods allow you to:

• Triangulate findings across different data sources

• Capture both scale and depth

• Strengthen the credibility of your research

• Better inform policy and service design

This is particularly important in areas such as public health, where complex social and behavioural factors are at play.

When should you use a mixed-methods approach?

Mixed methods are especially valuable when:

• You are evaluating a complex intervention

• You want to centre lived experience alongside measurable outcomes

• You need both evidence for decision-makers and meaningful narratives

• You are working with underserved or marginalised communities

For example, in research involving people living with severe mental illness, combining outcome measures with qualitative insights can highlight not just whether an intervention works, but how it is experienced and why it matters.

Key challenges to consider

While powerful, mixed-methods research requires careful planning. Common challenges include:

• Integrating different types of data meaningfully

• Managing time and resources

• Ensuring methodological coherence

Working with an experienced research team can help ensure that your design is robust and aligned with your goals.

Final thoughts

Mixed-methods research is not just about using multiple tools, it’s about thinking differently about evidence. When done well, it can produce insights that are both rigorous and deeply human.

If you’re designing a research project and unsure which approach to take, getting the design right from the start can make all the difference. This is also a way I support organisations with Services