AI study design
Conveo can draft interview guides from a research brief or business objectives, using built-in sequencing, quotas, and projective techniques. That helps teams start with a structured study design instead of a blank page.
Ricerca qualitativa basata sull’IA per insight più profondi
Conveo is an AI-powered qualitative research platform for study design, respondent recruitment, interviewing, analysis, and insight sharing. The site describes it as a video interview platform built by researchers, with AI that designs studies, interviews people, and analyzes the resulting voice, video, tone, behavior, and text.
Its main job is to help teams get deeper qualitative understanding faster than traditional moderated research. The product emphasizes asynchronous interviews, follow-up probing, and evidence-backed outputs so teams can move from research question to shareable findings without handling every step manually.
The site positions Conveo for research, marketing, product, CX, innovation, and related insights teams that need to collect human conversation at scale. It also highlights a use case for concept and creative optimization, where teams can test and iterate on ideas using real reactions from participants.
Conveo can draft interview guides from a research brief or business objectives, using built-in sequencing, quotas, and projective techniques. That helps teams start with a structured study design instead of a blank page.
The platform supports global, asynchronous voice or video interviews moderated by AI. The interview flow listens to prior answers, probes for depth, and follows the conversation where it needs to go.
Recruit respondents through CSV uploads, external panels, QR codes, WhatsApp invites, public links, or an existing panel. The source also mentions integration with Respondent.io.
Analysis combines audio, video, and text signals to surface themes, emotion charts, personas, and quote-based evidence. The product page also says users can click from high-level stats down to verbatim quotes.
Study outputs include CSVs, transcripts, reels, and insight cards, plus a conversations tab for searching across historical studies. That supports both sharing results and reusing prior research.
The product page says Conveo mixes surveys with AI-driven qualitative probes, letting teams capture quantitative structure and qualitative depth in one workflow.
Test ads, moodboards, logos, packaging, and other creative assets with real participant reactions. The site says this use case is built for iterative concept testing, so teams can learn what to improve and test again.
Run asynchronous interviews to understand why people behave the way they do when using a product or service. The product pages frame this as a fit for usage and experience research that needs richer context than a survey alone.
Collect qualitative evidence for positioning, messaging, and brand equity questions. Conveo’s evidence-linked outputs help teams connect themes and quotes to stakeholder discussions.
Support customer insights, CX, UX, and innovation teams that need a repeatable workflow for gathering feedback, analyzing it, and reusing it across projects. The product page also mentions a conversations tab for searching historical studies.
Combine survey structure with qualitative probing when you need both numbers and explanation in one study. The source explicitly says Conveo supports quant plus qual in one workflow.
Conveo is designed for AI-led qualitative interviews that can run asynchronously, so teams can collect conversations without scheduling every session live. The source also says it supports voice or video interviews across languages, and you can combine quantitative questions with qualitative probes.
The product pages describe a research workflow that includes study design, respondent recruitment, async interviewing, analysis, and sharing outputs. The product page also says you can search across transcripts, quotes, and themes after studies are complete.
The source lists CSV lists, external panels, QR codes, WhatsApp invites, public links, and a partner panel such as Respondent.io as recruitment options. It also says teams can use their own participant panel or recruiter.
Conveo’s FAQ list and product copy indicate security, GDPR, privacy, and data-deletion topics are part of the product documentation. The page does not provide detailed policy terms in the collected text, so readers should review the trust center and privacy pages for specifics.
The pricing URL in the collected sources returns a 404, so no pricing, plan, or trial details are available from the evidence provided.
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