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.
Conveo
ReclamarConveo is an AI-led qualitative research platform for study design, respondent recruitment, async voice or video interviews, and evidence-backed insights.
Overview
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.
Features
AI-led interviews
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.
Flexible recruitment
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.
Multimodal analysis and evidence
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.
Shareable outputs and research memory
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.
Quant and qual in one study
The product page says Conveo mixes surveys with AI-driven qualitative probes, letting teams capture quantitative structure and qualitative depth in one workflow.
Use Cases
Concept and creative optimization
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.
Product usage and experience research
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.
Brand positioning and equity insight
Collect qualitative evidence for positioning, messaging, and brand equity questions. Conveo’s evidence-linked outputs help teams connect themes and quotes to stakeholder discussions.
Ongoing insights programs
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.
Hybrid quant and qual 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.
Pros and Cons
Pros
- Covers the full qualitative workflow from study setup to sharing outputs in one platform.
- Uses AI moderation to run asynchronous interviews and follow up on answers in context.
- Analyzes more than text by combining voice, video, audio, and text signals.
- Supports flexible recruitment methods, including CSVs, links, QR codes, WhatsApp, and panels.
- Provides evidence-linked outputs such as quotes, themes, emotion charts, transcripts, and reels.
Cons
- The collected sources do not include pricing, so buyers cannot compare plans or costs from the evidence provided.
- Some product areas are only described at a high level in the collected pages, so integration details and security specifics require checking the trust center or docs.
FAQ
How does Conveo run interviews?
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.
What does the workflow look like from setup to analysis?
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.
How can participants be recruited?
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.
Does Conveo address security and privacy?
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.
Is pricing available on the site?
The pricing URL in the collected sources returns a 404, so no pricing, plan, or trial details are available from the evidence provided.
Quick Facts
- Category
- AI-led qualitative research platform
- Primary users
- Researchers, insights teams, and cross-functional teams working on marketing, product, CX, and innovation
- Core workflow
- Design study, recruit respondents, run async interviews, analyze signals, share outputs
- Interview modes
- Voice and video, asynchronous
- Evidence domain
- conveo.ai
- Use-case focus
- Concept and creative optimization, usage and experience, consumer behavior, brand positioning and equity
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