In this article
TL;DR
This guide compares eight platforms: Conveo, Outset, Discuss, Pollfish, Attest, Qualtrics Strategy & Research, UserTesting, and Maze.
The Suzy competitors in this comparison divide between survey-first tools built for speed and qualitative-first platforms built for depth. The two serve different research needs and rarely overlap.
Five criteria determine whether a platform can support a research-grade qualitative program: methodology type, AI moderation depth, evidence traceability, compliance, and multi-market capability.
Fit matters more than features. A platform that doesn't match how your team works leaves findings in individual study reports, used once and rarely revisited.
Traditional market research was built around agency timelines of six to twelve weeks, designed for an era when strategic decisions moved at the same pace. Most organizations now move faster than that.
Suzy was built to address part of that problem. Its DIY survey tools, built-in consumer panel, and real-time trend monitoring make it a common starting point for insights teams that need to move quickly. If you're evaluating alternatives to Suzy, you might be looking for additional qualitative research capabilities or more comprehensive compliance.
This guide compares eight alternatives to Suzy for teams evaluating where to take their research program next. By the end, you'll have a clear view of how each platform fits different research needs and which is the right fit for your business.
4 Reasons Teams Evaluate Suzy Alternatives
Teams typically consult competitors on Suzy.com when survey-based research no longer provides sufficient depth or flexibility to support decisions. In practice, this manifests as four recurring operational problems.
1. The Numbers Come Back, But The "Why" Doesn't
Stakeholders can see patterns and scores from survey responses, but they still ask what’s driving them. Without open-ended questions or follow-up, teams are left explaining the meaning after the study instead of capturing it during it. This leaves gaps in understanding that slow down decision-making or lead to assumptions being used as evidence.
2. Multi-Market Research Breaks Down At Execution
Running research across regions often introduces inconsistencies in language quality, participant access, and moderation standards. In practice, this means results from different markets may not yield reliable data and may require additional work before they can be compared or trusted side by side.
3. The Pricing Model Doesn’t Scale
Many survey platforms charge per individual study, which works well for occasional research. But when teams run research continuously, costs repeat each time instead of scaling with ongoing use.
4. Findings Aren't Ready For The Room
Research teams often still need to turn results into slides or summaries because outputs aren’t designed for direct use in meetings. This adds extra steps between analysis and decision-making, slowing how quickly research influences action.
Suzy has added conversational AI features to its survey platform. The key difference is structural: those features extend a survey-first system, while qual-native platforms like Conveo are built around adaptive interviews and qualitative research workflows from the start.
Top 8 Suzy Competitors Compared
Finding the best alternative to Suzy means going beyond feature lists and asking whether a platform can meet the needs of the enterprise market research market.
The platforms in this comparison are assessed against seven criteria: methodology type, participant authenticity, AI moderation depth, evidence traceability, compliance, multi-market capability, and pricing model. Use the table below for a quick overview.
| Platform | Methodology type | Participant type | AI moderation depth | Evidence traceability | Compliance | Multi-market support | Pricing model |
|---|---|---|---|---|---|---|---|
| Conveo | Video-first | Real participants | Adaptive probing | Video clips + verbatim quotes | SOC 2: ✓ | 50+ languages, 50+ markets | Custom enterprise |
| Outset | Hybrid | Real participants | Adaptive probing | Video clips + verbatim quotes | SOC 2: ✓ | 40+ languages, 85+ countries | Custom enterprise |
| Discuss | Hybrid | Real participants | Adaptive probing | Video clips + verbatim quotes | SOC 2: Not confirmed | 80+ languages | Custom enterprise |
| Pollfish | Survey-first | Real participants | Scripted survey | Text summary only | SOC 2: Not confirme | 160+ countries(translation on enterprise plan only) | Credits-based from $0.95/response |
| Attest | Survey-first | Real participants | Scripted survey | Text summaries. Video + verbatim beta only | SOC 2: Not confirmed | 59 countries, 70 languages | Custom enterprise |
| Qualtrics Strategy & Research | Hybrid | Real participants + synthetic participants | Limited | Dashboard/text summary | SOC 2: ✓ | 200+ markets, 76 survey languages | Custom enterprise |
| UserTesting | Usability testing | Real participants | Human-moderated | Video clips + verbatim quotes | SOC 2: ✓ | 22 languages, 60+ countries | Custom enterprise |
| Maze | Hybrid | Real participants | Adaptive probing | Video clips + transcripts | SOC 2: ✓ | 150+ countries, 30+ transcript languages | Custom (credits-based for panel) |
Conveo
Conveo is a video-first qualitative research platform for insights teams running recurring research programs at enterprise scale. It covers recruitment, AI-moderated interviewing, multimodal analysis, and a compounding insight library within a single system.
Conveo was designed to solve a common problem for enterprise research. Most CMI and CX teams run with one to five researchers, but their research feeds decision-making across the entire business. Running every brief through an agency isn't realistic when the business can't wait six to twelve weeks for an answer.
Conveo runs AI-moderated, in-depth interviews at scale, with findings that trace back to stakeholder-ready, timestamped clips and compound into a shared insight library across all studies.
| Methodology type | Conveo is qualitative-first, running AI-moderated video and voice interviews where the AI follows up on what participants say rather than following a fixed script. Analysis captures speech, tone, and nonverbal cues alongside transcripts, providing researchers with qualitative depth at the pace business decisions require. |
|---|---|
| Participant type | Conveo recruits real participants from a vetted panel across 50+ markets, with fraud screening applied before fieldwork begins. BYOP is also supported, and teams can blend panel and own-audience recruitment in a single study. |
| AI moderation depth | The AI moderator adapts its questions based on participant responses, following unexpected threads rather than a fixed script. More than 70% of insights come from AI-moderator follow-up probes. Participants share three to four times as much content in AI-moderated interviews as in standard surveys, and 93% rate their experience 4 out of 5 or higher. |
| Evidence traceability | Every finding links directly to the timestamped video clip and verbatim quote it came from, so stakeholders can verify the source of any insight themselves. Every study feeds a searchable insight library, meaning findings compound across the research program rather than resetting with each new brief. |
| Compliance | SOC 2: ✓ |
| Multi-market support | Conveo supports 50+ languages with parallel interview capacity across time zones. Studies can run simultaneously across markets without scheduling coordination. |
| Pricing | Enterprise pricing on request. Pilot programs are available for teams evaluating the platform before committing to a full contract. |
More than 400 enterprise teams, including Google, Reddit, FOX, and Bosch, run qualitative research on Conveo at the pace their stakeholders expect.
Outset
Outset is an AI-moderated research platform for product and UX teams running continuous async interviews at scale.
| Research methodology type | Outset is qualitative-first, running async AI-moderated interviews across video, voice, and text formats. |
|---|---|
| Participant type | Outset recruits real participants via native integrations with Prolific and User Interviews. BYOP is also supported. |
| AI moderation depth | The platform uses adaptive probing, generating follow-up questions based on participant responses rather than following a fixed script. |
| Evidence traceability | Researchers can trace themes back to video clips and verbatim quotes. Cross-study analysis isn't built in and requires a separate Dovetail integration. |
| Compliance | • SOC 2 Type II: ✓ |
| Multi-market support | Outset supports 40+ languages, with automatic translation of transcripts and synthesis. Recruitment covers 85+ countries. |
| Pricing | Outset uses a custom enterprise pricing model. No pricing is publicly available. |
Discuss
Discuss is an enterprise research platform that supports both human-moderated and AI-moderated interviews across global markets.
| Methodology type | Discuss is qualitative-first, running in-depth interviews in both live and self-paced async formats, with video and voice options. |
|---|---|
| Participant type | Discuss recruits, real participants via a global panel network, and agency partners. BYOP is also supported. |
| AI moderation depth | Discuss uses adaptive probing through its Interview Agent, which conducts voice or text conversations following a discussion guide while adjusting questions based on participant responses. |
| Evidence traceability | Transcripts sync with recorded video, and researchers can highlight any quote to generate a timestamped clip. A cross-study repository with a GenAI assistant is also available for analysis across multiple projects. |
| Compliance | • SOC 2: Not confirmed |
| Multi-market support | Discuss supports 80+ languages for transcription, split across three accuracy tiers. Translation works in one direction only, from the session language into English. |
| Pricing | Discuss offers two pricing tiers, both on request. No self-serve pricing is available. |
Pollfish
Pollfish is a global DIY market research platform and online survey software for fast-turn, B2C research.
| Methodology type | Survey-first. Pollfish runs quantitative surveys, with a Conversational AI feature that adds an adaptive dialogue layer to individual questions. |
|---|---|
| Participant type | Pollfish recruits real participants from Prodege's first-party panel. BYOP is also supported via a shareable link. |
| AI moderation depth | The Conversational AI feature adapts follow-up questions based on participant responses, but this operates within a structured survey framework rather than an open-ended interview format. |
| Evidence traceability | Results are delivered through a real-time dashboard, AI-generated reports, and an insights builder. Open-ended responses are text-based; there are no video or audio clips. |
| Compliance | • SOC 2: Not confirmed |
| Multi-market support | Pollfish covers 160+ countries. Language translation is available as an enterprise feature, though the number of supported languages isn't confirmed publicly. |
| Pricing | Pollfish uses variable pricing starting at $0.95 per response, with no extra costs such as seat or license fees. Full-service projects and enterprise packages are also available on request. |
Attest
Attest is an enterprise survey platform for B2C consumer research, in which every customer is paired with a dedicated research manager.
| Methodology type | Survey-first. The core platform runs quantitative surveys, and Attest Explore (beta, launched May 2026) adds qualitative AI-moderated interviews. |
|---|---|
| Participant type | Attest sources real participants via third-party panel providers. BYOP is also supported. |
| AI moderation depth | The core survey product uses scripted questions. Attest Explore uses adaptive probing, in which the AI moderator responds to participants' answers and asks additional questions based on what they say. |
| Evidence traceability | Survey results are delivered via a dashboard with AI summaries and charts. Attest Explore links findings to audio and video snippets, with reviewable transcripts and recordings. |
| Compliance | • SOC 2: Not confirmed |
| Multi-market support | Surveys cover 59 countries across 70 languages, with fully localized and translated content. Attest Explore’s panel is currently limited to the UK and the US. |
| Pricing | Attest uses a flat-fee-per-audience cost model for surveys, regardless of audience location. Full pricing isn't publicly listed. |
Qualtrics Strategy & Research
Qualtrics Strategy & Research is Qualtrics' dedicated market research tool for enterprise companies, integrated into its broader XM platform alongside customer experience and employee experience programs.
| Methodology type | Quantitative and qualitative. Qualtrics runs surveys and video feedback studies. |
|---|---|
| Participant type | Qualtrics offers access to global markets via third-party panels, AI-powered synthetic participants, or its own customer communities. BYOP is also supported. |
| AI moderation depth | Current AI features focus on post-study analysis, recommendations, and synthetic panel generation. Agentic Research, in which AI handles routine research under human oversight, is listed as coming soon. |
| Evidence traceability | Research Hub provides a searchable, cross-study library spanning all surveys and dashboards under a Qualtrics license. |
| Compliance | SOC 2 Type II: ✓ |
| Multi-market support | Qualtrics covers 200+ markets and supports surveys in 76 languages. Professional translation services and Google Translate API integration are both available. |
| Pricing | Pricing isn’t publicly listed. |
UserTesting
UserTesting is an enterprise human insights platform for product, UX, design, and CX teams, continuously embedding user feedback throughout the product development cycle.
| Methodology type | Qualitative. UserTesting runs unmoderated usability tests, think-aloud studies, and live moderated sessions. |
|---|---|
| Participant type | Real participants sourced via UserTesting's own panel, covering 60+ countries. |
| AI moderation depth | Sessions are either human-moderated or self-guided by participants. AI is applied in post-session analysis rather than during moderation. |
| Evidence traceability | Findings trace to session recordings and verbatim quotes. An AI-powered natural-language query feature also lets you search for video clips across studies, but it's only available on the Ultimate tier and doesn't cover live moderated sessions. |
| Compliance | • SOC 2 Type II: ✓ |
| Multi-market support | UserTesting supports 22 study languages with no automated translation. Recruitment covers 60+ countries. |
| Pricing | UserTesting uses custom enterprise pricing. No pricing is publicly listed. |
Maze
Maze is a research platform for product and UX teams doing continuous discovery tied to product development cycles.
| Methodology type | Quantitative and qualitative. Maze runs unmoderated usability tests, prototype tests, and surveys alongside AI-moderated interviews. |
|---|---|
| Participant type | Real participants sourced via a panel marketplace, including Prolific and Respondent, with 400+ targeting filters. BYOP is also supported via a shareable link. |
| AI moderation depth | The AI moderator conducts adaptive interviews with follow-up questions mapped to research goals. Researchers set how structured or open the conversation gets. The AI moderator is an Enterprise add-on and isn't included in all plans. |
| Evidence traceability | Session recordings include audio, video, and screen capture with transcripts automatically synced. Highlights, themes, and shareable reels can be built from any session. |
| Compliance | SOC 2 Type II: ✓ |
| Multi-market support | Transcripts available in 30+ languages. Recruitment covers 150+ countries. |
| Pricing | Not publicly listed. Panel recruitment uses a credit-based model with all-in pricing that covers incentives and demographic targeting. |
Decision Guidance by Research Need
The right platform depends on what your team primarily needs from a research program.
Concept Testing With Tight Timelines
When validating a creative concept against a tight deadline, Conveo delivers credible qualitative findings fast, and every output links to the source video so stakeholders can verify what they're acting on. Teams running lighter-weight async discovery without a need for video evidence should also evaluate Outset.
Multi-Market Research With Compliance Requirements
Conveo holds SOC 2 certification, is GDPR-compliant with EU hosting, and runs consistent AI moderation across 50+ languages, making it the strongest option for teams whose research needs to clear procurement. Teams running survey-based multi-market programs should also evaluate Attest.
Continuous Consumer Understanding Programs
The Conveo insight library compounds across every study, with each finding linked back to the source video, so your understanding of consumer behavior grows rather than resets with each new brief. Teams running product-focused continuous discovery should also evaluate Maze.
Brand Tracking With Qualitative Evidence
Conveo captures tone, facial expression, and unscripted participant reasoning that survey-based brand tracking misses, with outputs that link to video clips stakeholders can watch. Teams that prefer human-moderated brand research should also evaluate Discuss.
Conveo: Video-First Qualitative Research at Enterprise Scale
The platform comparison in this article evaluates each option across five areas: research method, AI moderation quality, evidence traceability, compliance support, and multi-market capability. Conveo ranks highly across all five, making it a strong alternative to Suzy for video-first qualitative research.
Who Conveo Is Built For
Conveo is built for insights teams, consumer research leads, and CMI directors at enterprise and mid-market companies. These teams are often small, but responsible for delivering research that brand and product teams use to make high-stakes decisions.
Many teams run multiple studies every year and need research that keeps pace with business decisions. Traditional agency timelines of six to twelve weeks may work for annual planning, but they are often too slow for quarterly campaigns or product launches.
Conveo solves the problem by enabling teams to conduct more research internally. This reduces reliance on agencies while producing findings that are traceable and sufficiently detailed for stakeholders to use.
How Conveo Works
Conveo covers the full qualitative research workflow in one platform, without handoffs between tools or vendors:
Recruitment and screening: Conveo handles recruitment directly, with built-in panel access across 50+ markets, fraud filtering, and incentive management. What takes two to three weeks of panel sourcing and scheduling in a manual workflow is compressed into hours.
Conducting interviews: The AI moderator runs asynchronous video conversations across time zones simultaneously, following up on each participant's remarks rather than working from a fixed script. Studies can run from 10 conversations to 1,000+ without scheduling coordination.
Transcription: Real-time transcription runs in 50+ languages as interviews are completed. Multilingual studies don't require specialist vendors or manual processing.
Coding and synthesis: AI-assisted coding surfaces themes, quotes, and clips automatically as data comes in. Researchers review and validate rather than spending weeks on manual thematic analysis.
Discover how to build a study on Conveo from scratch:
The full cycle from study launch to stakeholder-ready report takes days. Every finding links to the timestamped video it came from, verbatim, so speed doesn't come at the cost of traceability.
Why Stakeholders Trust Conveo Outputs
Stakeholders trust research more when they can verify the source of the findings. Conveo links every insight directly to the supporting video clip and verbatim quote so stakeholders can review the original response themselves.
Conveo reports that 93% of participants rate their experience 4 out of 5 or higher, and that participants share 3 to 4 times as much content in AI-led interviews as in standard survey formats. Human researchers also review AI-generated themes before findings are shared, combining automated analysis with researcher oversight.
Conveo also holds SOC 2 certification, is GDPR compliant, and supports EU regional data hosting. These are common procurement requirements for enterprise research teams.
Compounding Insight Library
Every study completed in Conveo adds to a searchable library of themes, video clips, and verbatim quotes across past research.
Teams can search this library using plain-language questions and retrieve sourced answers linked back to the original evidence. Over time, the value of the system grows because each new study adds to the organization’s accumulated research knowledge rather than existing as a standalone project.
For teams running ongoing research programs, this creates a shared institutional memory that becomes more useful with each new study.
When Conveo Isn't the Right Fit
The best Suzy alternative depends on your research goals, and Conveo isn’t the right fit for everyone:
Teams focused entirely on quantitative surveys or large-scale tracking studies may find the platform too specialized for their needs.
Organizations running one-off projects without plans for ongoing research may also see less value from the insight library over time.
Teams looking for a fully outsourced replacement for an agency may also find a mismatch. Conveo supports in-house research teams, but those teams still need to manage and run the research themselves.
Buyers whose main need is usability testing for digital products may find more specialized tools elsewhere in this comparison.
Teams that fit any of those descriptions will find a closer match in other platforms on this list.
Frequently Asked Questions
How do qualitative research platforms differ from survey tools like Suzy?
Survey tools capture what participants think: scaled responses, multiple choice selections, and structured survey responses that can be processed at scale. Qualitative research platforms address a different question: why people think what they think. The output from a survey is a data set; the output from a qualitative platform is a set of reasoned, evidenced findings that include the emotional register, hesitation, and unscripted reasoning that structured questions can't surface. For research programs in which consumer behavior needs to be explained rather than merely measured, qualitative platforms yield findings that are more defensible and more useful for decision-making.
What should I look for in a methodologically rigorous AI research platform?
Five criteria define a methodologically rigorous AI market research platform. First, adaptive probing: the AI should generate follow-up questions based on what participants actually say, not a scripted sequence. Second, real participants: synthetic or avatar-based responses aren't a substitute for authentic feedback from verified humans. Third, evidence traceability: every theme should link to source video clips and verbatim quotes, not just an AI-generated summary. Fourth, compliance infrastructure: SOC 2 certification, GDPR compliance, and EU data hosting are the baseline for enterprise research programs. Fifth, multi-market consistency: the platform should deliver the same moderation quality across languages and geographies, not just in primary markets.
How do I verify that a platform's findings trace back to real participant responses?
The most direct test is to ask whether every theme links to a specific source clip, and whether verbatim quotes are accessible alongside AI-generated findings. If the answer is "we provide a summary report," that's worth probing further: ask whether the platform generated the summary from actual participant video or only from a transcript. Text-summary outputs are harder to defend to skeptical stakeholders because there's no way to verify the AI's interpretation without returning to the source. Platforms that provide genuine evidence traceability let researchers navigate from any insight directly to the participant response it came from, whether that's a video clip, audio recording, or verbatim quote.
Which platforms are best for concept testing on a tight timeline?
Platforms with AI-moderated video interviews consistently compress concept testing timelines the most. Because the AI moderator doesn't need to be scheduled, studies can launch same-day and return findings within 24 to 48 hours for most audience segments. Traditional moderated research, including focus groups and human-led depth interviews, typically takes several weeks to complete, including recruitment, scheduling, and analysis. When speed is a constraint, the quality signals to look for are adaptive probing and source traceability: findings should link to video evidence rather than just a text summary. Speed and rigor don't have to trade off if the moderation is genuinely adaptive.
How do research platforms handle sample quality and fraud prevention?
When evaluating a research platform, ask specifically about panel provenance: does the platform own its panel, or does it source from third-party providers? Ask about fraud-detection layers, particularly if your research targets niche audiences with shallower panel depth, and whether the platform uses video confirmation to verify participant identity.
What should I expect from a pilot or proof of concept with a new research platform?
A well-structured pilot should return actionable insights within days, not weeks. The most useful pilot runs a real research question against a live audience, not a demo scenario with pre-selected participants. Three red flags to watch for: AI probing that follows the same sequence regardless of what participants say, themes that arrive without linked source evidence, and long turnaround times that mirror the agency research cycle.
About the author
Florian Hendrickx
Head of Growth
Florian is Conveo’s Chief Growth Officer, leading growth strategy and go-to-market execution as the company scales. He’s held growth leadership roles at companies like Deliverect, Robovision, and Aikido Security, and brings hands-on experience across marketing, sales, and product.
More by Florian →Qualitative insights at the speed of your business.
Conveo runs AI-moderated video interviews and structures everything they say.
