Qualitative Research
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
A sentiment score is a quantified measure of emotional polarity derived from qualitative data, most commonly text or spoken responses gathered during research interviews, surveys, or focus groups. In qualitative research, sentiment scores help analysts move beyond manual interpretation by assigning a consistent, comparable value to participant language, whether that language expresses satisfaction, frustration, enthusiasm, or concern. Researchers use sentiment scores to identify patterns across large volumes of responses, prioritise themes for deeper analysis, and communicate findings to stakeholders in a format that is easy to act on. When combined with thematic coding and verbatim quotes, sentiment scoring adds a measurable layer to qualitative insight without reducing its richness.
How Conveo Does It
Conveo automatically generates sentiment scores across all responses collected through its AI-moderated video interviews, giving enterprise research teams a fast and consistent read on participant emotion at scale. Because Conveo works with real participants rather than synthetic respondents or AI avatars, the sentiment data reflects genuine human attitudes. Teams can launch a study in under 30 minutes and receive scored, analysed results within days, making it practical to track sentiment shifts across segments, geographies, or product iterations without lengthy manual analysis.
Related terms.
Qualitative Research
Sentiment Analysis
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
Index Score
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Customer Effort Score (CES)
A method for identifying and organizing patterns of meaning across qualitative data sets.
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