You can play around with Conveo's stimuli here: https://app.conveo.ai/interviews/stimuli-test

Qualitative research excels at uncovering the "why" behind customer behavior, but strategic decisions often require the "how many" and "how much" that only quantitative data can provide. The integration of single and multi-select questions into Conveo's interview platform bridges this gap, enabling researchers to capture both qualitative depth and quantitative clarity within unified research sessions.

Traditional research approaches force teams to choose between qualitative insights and quantitative measurement, often requiring separate studies with different participants to answer related questions. This separation creates coordination challenges, increases research costs, and introduces potential inconsistencies between qualitative and quantitative findings. Integrated quantitative questions eliminate these trade-offs by capturing both data types from the same participants in natural conversation flow.

The built-in analytics automatically process quantitative responses, generating statistical summaries, cross-tabulations, and trend analysis that complement qualitative insights. Researchers no longer need to export data to separate analysis tools or manually calculate response distributions. This integrated analysis enables rapid identification of patterns and correlations between quantitative responses and qualitative themes.

For product teams, quantitative questions provide the measurable validation that development decisions require. While qualitative feedback reveals user preferences and pain points, quantitative responses indicate the prevalence and intensity of these issues across user populations. This combination enables more confident prioritization of product improvements and more accurate estimation of potential impact.

Marketing teams benefit from quantitative measurement of brand perception, message effectiveness, and campaign impact alongside qualitative exploration of customer motivations and preferences. The ability to measure sentiment intensity, preference strength, and behavioral likelihood provides the statistical foundation that marketing strategies require while maintaining access to the rich contextual insights that inform creative development.

The translation capabilities ensure that quantitative questions maintain consistency across international research projects. Standardized response options and question formats translate reliably, enabling comparative analysis across different markets and cultures while preserving the nuanced qualitative insights that cultural context provides.

Survey integration allows quantitative questions to build upon previous research or validate findings from larger-scale studies. Researchers can reference earlier survey results, test hypotheses generated from quantitative data, or explore unexpected patterns identified in statistical analysis. This integration creates continuous research programs where different methodologies inform and validate each other.

For research operations, integrated quantitative questions increase research efficiency by reducing the number of separate studies required to answer complex research questions. Teams can address both exploratory and confirmatory research objectives within single projects, accelerating insight delivery and reducing coordination overhead across multiple research initiatives.