Decode vs Conveo

Conveo is an AI-moderated interview platform. Decode's AI Moderator (Mira) covers that use case — and it is one of five products within Decode's unified research platform. The other four are Consumer Insights, User Research, AI Creative Insights, and Insights Hub. When teams evaluate this comparison, they are often comparing a specialist interview tool against a single component of a broader platform that also covers creative testing, usability research, consumer insights, and knowledge management. 

That said, the AI Moderator comparison is worth making carefully. Both platforms run AI-moderated qualitative interviews. The difference is in what each measures beyond the conversation, and how far beyond the interview each platform goes. 

Conveo is video-first: participants record asynchronous responses, and Conveo's AI analyzes the recording for tone, expression signals, and conversation patterns. Decode's AI Moderator runs the same qualitative interview layer, but adds dedicated measurement technology — facial coding, eye tracking, voice emotion analysis, and attention measurement — in the same session, across interviews, creative tests, concept tests, and usability studies. 

The distinction that matters most: Conveo extracts behavioral signals from video recordings. Decode measures them directly as dedicated research technology. For interview-only research programs, that gap may not matter. For teams running packaging tests, ad creative evaluations, or concept testing where what participants look at is part of the finding, it does. 

What is Conveo? 

Conveo is an end-to-end AI qualitative research platform launched in 2024 and backed by Y Combinator. It handles study design, participant recruitment through multiple panel partners, AI-moderated asynchronous video and voice interviews, automated analysis, and a compounding insight library that gets more valuable as research accumulates. 

Key strengths: video-first evidence traceability, SOC 2 and GDPR compliance with EU data hosting, ESOMAR-informed methodology, support for 50+ languages, and a structured approach to building institutional research knowledge over time. 

Typical buyer: enterprise and mid-market insights teams running recurring qualitative research programs that need to pass security review and produce documented evidence trails. 

What is Decode by Entropik? 

Decode is a unified human insights platform that covers consumer insights, user research, AI creative testing, Insights Hub, and AI-moderated interviews under one platform. It was built on Emotion AI and Behavioral AI technology developed over nine years, with 17 patents and deployments across 150+ global brands.  

The core distinction from an interview-focused platform: Decode was designed from the ground up to measure what participants do and feel, not only what they say. That means facial coding (90%+ accuracy across 62 expressions), eye gaze tracking (96% accuracy), voice emotion AI, and attention measurement — applied not just to interviews but across concept tests, ad creative evaluations, packaging research, and usability studies. 

Typical buyer: consumer insights, research, and CPG teams that need behavioral depth and the ability to run multiple research methods in one platform, without stitching together separate tools. 

Decode vs Conveo: feature-by-feature 

AI moderation and interview execution 

Both platforms run adaptive AI-moderated interviews. Conveo's design is video-first — participants record responses asynchronously, and the AI probes based on what it hears and observes in the recording. Decode's AI Moderator (Mira) runs text, voice, or video sessions, adapting follow-up questions in real time across 70+ languages. 

For straightforward qualitative interview programs, both handle the core job well. 

Behavioral and emotional signal depth 

 This is where the platforms diverge most clearly. 

Conveo analyzes signals extracted from the video recording — tone, vocal patterns, and facial expression signals picked up from the footage. This approach is built into the interview evidence trail and adds a layer of signal beyond the transcript.  

Decode measures behavioral and emotional signals as dedicated research technology, applied at the moment of exposure rather than extracted afterward. Facial coding at 90%+ accuracy tracks 62 discrete expressions. Eye gaze tracking at 96% accuracy captures exactly where attention lands during an interview, a concept board, or a creative stimulus. Voice Emotion AI analyzes tone and arousal patterns. These signals exist separately from the transcript and can be cross-referenced against it. 

For research where the gap between what someone says and what they actually feel is the finding — which is the core problem in brand research, packaging design, and ad testing — the measurement approach matters. 

Eye tracking and attention measurement 

Conveo does not offer eye tracking or attention measurement. Decode does. 

Why this matters: if your research involves any visual stimulus — a packaging design, an ad creative, a shelf mock-up, a concept board — knowing where participants actually look before they explain their reaction is often more informative than the explanation itself. A participant can say a pack "looks clean and premium" while never fixating on the brand logo. That contradiction is the finding, and a transcript-only platform can't see it. 

Platform breadth and method range 

Conveo is built around qualitative interviews. It handles that well. 

Decode spans AI-moderated interviews (AI Moderator / Mira), consumer insights research, AI creative and ad testing (AI Creative Insights), usability research, and a searchable insights repository (Insights Hub). Teams that run multiple research types — qual interviews alongside concept tests, creative pre-tests, and usability studies — can run all of them in one platform rather than using separate tools for each. 

Recruitment and panel 

Both platforms support bring-your-own-participant research. Conveo integrates with multiple external panel partners. Decode connects to a panel of 103M+ profiled participants across 120 countries via Cint and Dynata, with the ability to use your own participant lists. 

Compliance and governance 

Conveo: SOC 2, GDPR, EU data hosting, ESOMAR-informed methodology. 

Decode: SOC 2 Type II, ISO 27001, GDPR, ESOMAR. For full compliance documentation, verify current status directly at entropik.io before procurement decisions. 

Both platforms are built for enterprise compliance requirements. Conveo's EU data hosting is a specific advantage for organizations with EU data residency mandates. 

Repository and insight reuse 

Conveo's compounding insight library is a genuine strength — it's designed to accumulate knowledge over time, making past research discoverable and reusable. 

Decode's Insights Hub is a searchable research repository that stores findings, clips, and themes across all research types run on the platform — including behavioral and emotional signal data, not only interview transcripts. 

Pricing 

Conveo operates on two models: a pay-as-you-go option for project-based work, and an enterprise plan. Based on buyer-reported information, enterprise pricing runs approximately $45,000 per year with prepaid credits billed by interview minutes. Verify directly with Conveo before budgeting — pricing structures change. 

Decode is enterprise-priced with custom contracts based on research scope, platform access, and team size. Contact Decode for current pricing: entropik.io/book-demo. 

The comparison that matters in pricing: Conveo is priced around interviews. If your research program also involves creative testing, concept testing, or packaging research, those methods would require additional tools — or would fit within Decode's single-platform model. What looks like a higher per-interview cost on one side can look different across a full annual research budget. 

Conveo alternatives and competitors 

If you're evaluating Conveo, you're likely also looking at the broader AI qualitative research landscape: 

• Decode by Entropik — measured Emotion AI and behavioral signal depth across interviews, creative testing, and concept research. Best for teams needing multi-method research with behavioral data. 

• ListenLabs — AI interview platform with strong synthesis. Backed by significant Series B funding. Interview-focused. 

• Outset.ai — AI moderated interview platform built for product and UX research teams. Strong on scale and synthesis speed. 

• Strella — AI interview platform focused on consumer research. Qualitative-only. 

• Discuss.io — live and async video research platform. Strong on video evidence and global reach. 

• dscout — mobile diary and live research. Best for longitudinal and contextual studies. 

• Voxpopme — video feedback at scale. Suited for high-volume consumer video response collection. 

The right fit depends on whether you need interview-only depth, video evidence traceability, behavioral signal measurement, or coverage across multiple research methods. 

When to choose Conveo vs when to choose Decode

One framing before the framework: Conveo competes with Decode's AI Moderator — one of five Decode products. Teams that choose Decode aren't just choosing a better interview tool; they're choosing a platform that also handles concept testing, creative pre-testing, usability research, consumer insights, and a cross-study repository. If your team currently runs multiple tools for those research types, that consolidation is part of the Decode value proposition. 

The interview-to-interview comparison: 

 Choose Conveo when: 

• Your research program is built around async video interviews and video-first evidence traceability 

• EU data residency is a hard procurement requirement 

• You need a compounding insight library that grows more valuable with repeated use 

• Interview-based research is your primary (or only) method 

Choose Decode when: 

• Your research questions require measured emotion, attention, and eye-gaze data — not only extracted signals 

• Your team runs multiple research types: interviews alongside creative testing, concept testing, or usability research 

• You need a longer enterprise deployment record in CPG and consumer insights contexts 

• You want behavioral and emotional signal data from the same session as the interview, in one platform 

Neither platform is universally the stronger choice. The decision comes down to what you need to measure and how many research methods your team runs. 

How Decode helps 

Understanding what participants say is the starting point. What they look at, how they react before they compose an answer, and whether their stated opinion matches their behavioral and emotional response — that's what Decode measures. 

Decode's AI Moderator (Mira) runs the interview and captures the verbal layer. Facial Emotion AI, Eye Gaze Tracking, Voice Emotion AI, and Attention Measurement instrument the behavioral and emotional layers in the same session. Consumer Insights and AI Creative Insights extend the same signal capture to consumer research and creative testing. Insights Hub stores and surfaces findings across all methods. 

For teams whose research questions depend on what participants actually do and feel — not only what they tell you — that combination is what Decode is built for. 

Frequently asked questions 

1. Is Decode a good Conveo alternative? 

Yes, for teams that need measured behavioral and emotional signal data (facial coding, eye tracking, attention measurement) alongside AI-moderated interviews. Decode also covers creative testing and concept research that Conveo doesn't. For interview-only programs with EU data residency requirements, Conveo may be the stronger fit.  

2.  What is the main difference between Decode and Conveo? 

Conveo extracts behavioral signals from video recordings. Decode measures emotion, attention, and gaze as dedicated research technology applied during the study. Decode also covers more research methods: creative testing, usability, and concept research in addition to qualitative interviews. 

3. Does Conveo have eye tracking or attention measurement?  

No. Conveo analyzes signals from video recordings but does not offer dedicated eye tracking or attention measurement. Decode offers both — eye tracking at 96% accuracy and attention measurement across studies.  

4. Does Conveo have Emotion AI? 

Conveo extracts facial expression and tone signals from video recordings as part of its analysis layer. Decode's Facial Emotion AI measures 62 facial expressions at 90%+ accuracy as a dedicated measurement technology. 

5. How much does Conveo cost? 

Based on buyer-reported information, Conveo's enterprise plan runs approximately $45,000 per year with prepaid credits billed by interview minutes. A pay-as-you-go option is also available for project-based work. Verify directly with Conveo — pricing changes. 

6. Is Conveo suitable for enterprise research? 

Yes. Conveo holds SOC 2 certification, is GDPR compliant, offers EU data hosting, and uses ESOMAR-informed methodology. It's designed for enterprise teams running recurring qualitative programs. 

7. Can Decode replace Conveo entirely? 

For most research programs, yes. Decode's AI Moderator covers the AI interview use case, and Decode adds behavioral measurement and broader research method coverage. The one area where Conveo has a specific advantage is EU data residency — if that's a hard procurement requirement, verify Decode's current EU hosting options before switching. 

Try Decode 

See how Decode measures where attention goes and how participants truly feel — across interviews, creative tests, and concept research — in one platform.