Qualitative research generates rich, detailed material that offers deep insights for any research team, but that detail does not organise itself. Interviews, focus groups, diaries, and open-ended research often have lengthy passages of text, shaped […]

Analysing focus group data can feel difficult. Audio recordings often aren’t clear or concise, and situational factors such as interaction patterns, moderator influence and participant characteristics can shape the depth and direction of a discussion. […]

AI prompts are essential to helping researchers get the most out of the AI tools they are using – whether that’s ChatGPT, Claude, Perplexity or a specific AI tool for qualitative research, like Beings. On […]

Customer research recordings need fast, accurate transcription that meets compliance and data-privacy requirements. This is because customer research recordings often carry detailed accounts of behaviour, expectations and unmet needs. Equally, researchers usually want to move […]

Data coding in research is the process of identifying, labelling and organising meaning within qualitative material so that large volumes of conversation can be examined systematically. Codes are assigned to sections of transcripts and notes, […]

Tools and processes that use artificial intelligence (AI) are now helping qualitative researchers to generate insights that can be shared directly with clients, far faster than previous manual workflows allowed.  Turning raw research data into […]

Focus group transcription is the process of turning multi-speaker discussions into clear text that you can analyse. Customer groups move fast, people talk over each other and the conversation rarely follows a tidy path. This […]

When researchers collect open-ended survey responses, interviews, or focus group recordings, the next challenge is how to accurately transcribe and analyse the data. Finding the best transcription software for survey responses helps turn raw audio […]