Relationships between concepts are often interpreted during qualitative analysis but may remain implicit within coding structures, thematic descriptions, or analytical narratives. This article introduces the Qualitative Network Approach (QNA), a methodological framework for representing qualitative codes as interconnected elements. Its associated method, QNA network coding, specifies interpreted connections between pairs of qualitative codes according to relationship type and, where relevant, directionality. A four-step tutorial demonstrates how researchers can identify two concepts in the data for relational interpretation, identify and specify their relationship using the codebook, assign the three codes to the data fragment, and document a QNA network code. A worked interview example illustrates how individual QNA network codes can form a wider QNA network code structure. QNA may be useful when relationships between concepts are analytically important. By making relational interpretations explicit and traceable to the underlying data, QNA aims to increase the transparency and inspectability of qualitative analysis.