In Practice

How Researchers Use QInsights

Five examples of QInsights used in academic research, evaluation and applied qualitative analysis.

Different questions, materials and settings. In each case, QInsights supports the analytical process while the researcher determines what the material means.

Academic research · LMU Munich

Accelerating research with multi-modal analysis

At LMU Munich, QInsights helps researchers revisit existing material, pursue emerging questions and move between overview and detail. The researcher remains responsible for interpretation throughout.

“QInsights works directly with the audio, which is amazing for the students.”
Prof. Dr. Anja Ballis

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Reflection
and nuance

Public health research · UC San Diego

Finding nuance in sensitive research material—and more time to reflect

Prof. Samantha Hurst uses QInsights to retrieve relevant passages across interviews and examine language in context. This reduces repetitive searching while leaving space for anthropological interpretation.

“It has freed up much more time for me to be reflective.”
Prof. Samantha Hurst

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Evaluation · Misereor

A transparent, expert-led analysis across 23 evaluations

Dr Susanne Friese used QInsights to analyse 23 evaluation summaries for Misereor’s 2025 Annual Evaluation Report. The work combined cross-project pattern recognition with systematic checking against the source material.

“AI supported structuring and pattern recognition. Interpretation and assessment remained with the evaluator.”
Methodological principle

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PhD research · Community-based research

Making sense of interviews, focus groups and reflective notes

For Darian’s PhD research on fatherhood and social change in South Africa, QInsights supported the gradual development of themes while preserving links to participants’ accounts.

“It does not replace the human mind, it supports it.”
Darian S., PhD researcher

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Applied research · Leap Research

Moving from 1,000 user reviews to focused product priorities

T. S. Lim used QInsights to examine 1,000 recent reviews of a mobile-banking app. The analysis distinguished recurring reliability problems from smaller, fragmented areas of positive feedback.

“We move past the ‘2.5-star’ number and into a data-driven strategy for product excellence.”
T. S. Lim, Managing Partner, Leap Research

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