# Canvs An AI-powered customer insights platform that structures open-ended feedback for research, product, and marketing teams. - Findings24: - Site: - Categorias: Analista de dados com IA, Analytics & BI ## O que é Canvs? 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. ## O que Canvs pode fazer? ### Automatic theme and code-frame generation 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. ### Emotion- and behavior-aware analysis 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. ### Dataset-level analysis and comparison 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. ### Advanced filters and precision search Narrow analysis by question type, theme, emotion, behavior, segment, custom tag, metadata, volume, or other available markers to investigate trends and specific response groups. ### Intent-aware verbatim search Search and filter individual comments using emotional or thematic meaning as well as words, supporting quotation, audit, and validation workflows. ### CanvsIQ questions and executive briefs 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. ## Casos de uso ### Prioritize product improvements 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. ### Evaluate campaigns and consumer choices 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. ### Monitor live-event reaction 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. ### Track public conversation Communications teams can examine reaction across social platforms, distinguish sustained movement from short-lived noise, and identify who is driving or spreading a shift. ### Synthesize internal feedback 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. ## Perguntas frequentes ### What kinds of feedback can Canvs analyze? 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. ### Does Canvs require a predefined coding scheme? 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. ### How does CanvsIQ differ from a basic sentiment summary? CanvsIQ structures feedback into themes, emotions, and behavioral drivers, and supports questions and comparisons grounded in the analyzed dataset. ### How should we evaluate Canvs for our 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. ### What outputs can CanvsIQ produce? 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. ## Informações rápidas - **Product category**: Customer insights and qualitative text analytics platform - **Analysis inputs**: Surveys, reviews, social, chat, transcripts, and other feedback sources - **Core analysis**: Themes and inferred emotion/behavior labels in open-ended text - **AI assistant**: CanvsIQ, an analysis layer within the Canvs platform - **Primary users**: Research, insights, product, marketing, media, and enterprise teams - **Getting started**: Book a demo with the intended data sources, integrations, and analysis scope