An AI-powered customer insights platform that structures open-ended feedback for research, product, and marketing teams.
Canvs is a customer insights platform for analyzing qualitative feedback from surveys, reviews, social conversations, chat, transcripts, and other text sources. Upload open-ended responses to generate a dynamic code frame, then explore themes, inferred emotion labels, and language patterns with filters and verbatim search. Teams can compare audiences or time periods and trace findings back to individual comments.
CanvsIQ is the analysis layer within the platform. Ask questions about feedback, compare segments, create executive summaries, and turn findings into a stakeholder presentation. Its classifications are interpretations of the available language, not proof of a person’s true feelings or the cause of a business result; review the original responses and research context before acting.
To evaluate fit, book a demo around your feedback sources, dataset size, desired comparisons, integrations, and reporting needs. Connected feeds and enterprise systems require the appropriate integration; a connector category is not a promise that every source can be uploaded directly.
Upload open-ended responses to generate a dynamic code frame with themes, topics, and inferred emotion labels. A predefined manual coding template is not required; review the categories and underlying responses for your research context.
Use linguistic analysis, behavioral science, and machine learning to group emotional and behavioral expressions in feedback beyond positive or negative sentiment. These are model interpretations of language, not direct measurements of intent or personal character.
Work across large feedback collections and compare themes and reaction across segments, waves, or time periods using a shared analytical framework. Confirm dataset and processing scope for your project.
Narrow analysis by question type, theme, emotion, behavior, segment, custom tag, metadata, volume, or other available markers to investigate trends and specific response groups.
Search and filter individual comments using emotional or thematic meaning as well as words, supporting quotation, audit, and validation workflows.
Ask questions of a dataset, request segment comparisons, and create executive summaries. The Executive Brief produces a stakeholder presentation; verify its quotations and figures against your source responses before sharing.
Product and research teams can examine recurring frustrations and unmet needs in feedback, compare them across customer groups, and use those patterns to inform roadmap priorities.
Combine survey responses, reviews, and conversations to examine reported experiences and language patterns around purchasing choices. Use the findings to inform hypotheses and campaign decisions; they do not establish causal effects.
Media and sports teams can align audience feedback to moments during broadcasts or announcements, identify what triggered a reaction shift, and assess whether it warrants action.
Communications teams can examine reaction across social platforms, distinguish sustained movement from short-lived noise, and identify who is driving or spreading a shift.
Compare themes in authorized employee or other internal open-ended feedback across groups and time periods. Investigate emerging concerns in context rather than treating inferred emotion labels as an employment assessment.
Canvs analyzes qualitative text such as open-ended survey responses, reviews, social conversation, chat, and transcripts. For live-event feeds or enterprise systems, confirm the relevant connector and available data format; not every connected system is directly uploadable text.
A predefined manual code frame is not required. Canvs generates a dynamic framework from uploaded open-ended responses. Review its themes and the original comments to check whether the labels fit your research question.
CanvsIQ structures feedback into themes, emotions, and behavioral drivers, and supports questions and comparisons grounded in the analyzed dataset.
Book a demo using your feedback sources, sample responses, dataset volume, segments, and reporting goals. Confirm import formats, integrations, processing scope, and access arrangements for that project before rollout.
CanvsIQ can produce structured findings, quantified breakdowns, executive summaries, and a presentation through Executive Brief. Review quotations, figures, and interpretations against the original feedback before using them in decisions.
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