The Guide to Thematic Analysis

The guide explains that thematic analysis offers flexibility and can be applied across a wide range of disciplines. It emphasizes the importance of systematic coding and iterative theme development, helping researchers make sense of complex qualitative material.

Accelerating yield improvement: Root cause analysis in semiconductor manufacturing

Semiconductor manufacturing is one of the most complex production environments in the world. Each wafer passes through hundreds of tightly controlled process steps, with thousands of variables that can influence yield and quality. Even minor deviations in temperature, pressure, or chemical composition can lead to costly defects, delayed deliveries, and lost revenue.

Hauntingly easy data tricks: Tips for organizing and analyzing mixed methods data

Mixed methods research doesn’t have to be overwhelming—structured data collection and smart use of tools like NVivo, ATLAS.ti, and XLSTAT can simplify the entire process. From transcribing interviews to organizing field notes and running statistical analyses, staying disciplined and methodical is the key to turning messy data into meaningful insights.

Collaborative qualitative research with NVivo for teams

Collaboration is at the center of many qualitative research projects, yet for many research teams, managing workflows can sometimes feel as complex as the data itself. So how can you navigate this challenge to foster collaboration and turn your data into collective insights?

The state of AI in qualitative research in 2025

By 2025, GenAI has transitioned from siloed labs into mainstream qualitative research, thanks to robust performance gains and affordable access. Both academia and industry increasingly converge on responsible AI use—disclosing assistance, safeguarding privacy, and mitigating bias.