Most teams migrating from Conveo in 2026 are not unhappy with the platform. They have outgrown the multimodal signal extraction model and need adaptive laddering depth plus a knowledge layer that compounds across studies. Conveo is built around async AI-moderated video interviews with multimodal analysis (voice, video, tone, facial expressions, emotional nuance, objects on camera) — the strength is signal breadth, surfacing patterns that audio-only interviewing misses. The platform integrates eight panel partners and recently raised $5.3M to extend that multimodal approach. It fits structurally well for concept testing, creative validation, and global benchmarking with multimodal data. It fits less well when the research object shifts from multimodal signal extraction to systematic motivational depth — why customers churn, why positioning fails, what brand identity drivers exist. This guide is the operational playbook for that switch: a two-week cutover, a four-week parallel pilot, four stakeholder communication scripts, and a section on when to stay.
Why Do Teams Switch from Conveo?
Per buyer-reported references, three drivers come up consistently in 2026.
1. Enterprise floor mismatched to research cadence. Conveo runs ~$45K+/yr Enterprise per buyer-reported references, with PAYG available for agencies and project-based work but sales-led rather than self-serve. The credit-bundle architecture rewards continuous high-cadence multimodal research and structurally penalizes teams running 1-5 studies per year. At five studies per year against a $45K floor, the per-study unit economics get poor; at twenty, they get better. Teams whose research cadence is variable or whose budget needs to convert from fixed annual commitment to per-study line item find the Enterprise model mismatched.
2. Multimodal extraction versus adaptive-laddering methodology. Conveo’s multimodal analysis engine extracts wider — voice + video + tone + facial + emotional + objects — and synthesizes themes from that broader signal surface. Native-AI peers built around adaptive 5-7 level laddering go deeper into one signal type (audio conversation) via systematic methodology embedded in the AI moderator’s structure. For research deliverables that depend on motivational architecture (why customers behave as they do), the adaptive-laddering structure surfaces depth that multimodal extraction applied after the fact does not match. Different research instruments for different research objects.
3. Sales-led procurement at both tiers. Conveo has no published self-serve signup or free trial; both PAYG and Enterprise tiers go through a sales conversation. Teams that want to validate the platform inside a quarter without scoping conversations and contract execution typically find the procurement runway too long. The architectural choice (sales-led at all tiers) creates friction for departments adopting research incrementally.
What Should You Extract from Conveo Before You Switch?
Phase 1 of the migration is data extraction. Conveo customers retain access to their data inside the contract period, but extraction is easier before the renewal date than after. Pull the following:
- Discussion guides and study designs — every active study’s interview guide, screener, and adaptive question routing logic. These translate into User Intuition’s guided study setup with minimal rework.
- Audience criteria — every active study’s screening criteria (job title, industry, demographics, panel-partner specifications). These map cleanly to User Intuition’s panel screening UI plus BYOC integration.
- Multimodal analysis outputs and themes — exported insights from each study, ideally as structured summaries that can be ingested into the User Intuition Customer Intelligence Hub for cross-study querying after migration.
- Video archives — for studies where multimodal video is part of the historical record (concept tests, creative validation), export and archive the recordings separately. User Intuition delivers themed transcripts and audio passages rather than video reels as the primary deliverable.
- Panel-partner records — for studies that used Respondent, User Interviews, Norstat, or other Conveo-integrated panels, the participant IDs and screening responses for any future panel-partner direct engagements outside Conveo.
Treat data extraction as a 2-3 day operational task with a dedicated researcher running it. Do not wait until 30 days before contract end — extraction under deadline pressure creates gaps.
Mapping Conveo Studies to User Intuition
Phase 2 is study recreation. Conveo’s study primitives map to User Intuition’s study primitives along the following correspondence:
| Conveo primitive | User Intuition equivalent |
|---|---|
| Async video AI interview | AI-moderated audio interview (30+ min, adaptive 5-7 level laddering); video on Pro plan at $40/interview |
| Multimodal analysis (voice + video + tone + facial) | Audio-first analysis with adaptive laddering depth; multimodal not the primary instrument |
| Discussion guide with question routing | Guided study setup with adaptive AI laddering |
| Eight panel partners (Respondent, User Interviews, etc.) | 4M+ vetted panel built into the platform + BYOC recruitment via CRM in same study |
| ESOMAR-informed structured methodology | Adaptive laddering methodology embedded in AI moderator |
| Theme extraction across multimodal signals | Ontology-based extraction across audio conversation, queryable in Customer Intelligence Hub |
| Slack/PDF/PPT exports | Customer Intelligence Hub for cross-study querying + standard exports |
The mapping is cleanest for motivational research studies (interviews about why customers choose, stay, churn, or respond to positioning). It is worst for concept testing and creative validation where multimodal video signal extraction is the explicit deliverable — for those studies, the right answer is often to keep Conveo on hand for that workflow rather than force-fitting User Intuition to a use case it isn’t structurally fit for. Many enterprise teams run both platforms in parallel after migration: Conveo for concept testing, User Intuition for motivational research.
Communicating the Switch to Stakeholders
Phase 3 is stakeholder communication. Four audience scripts:
Research consumers (PM, design, marketing). Lead with the research-question framing: “We are adding adaptive 5-7 level laddering for motivational research questions — why customers churn, why positioning fails, what brand identity drivers matter. We are keeping Conveo on hand for concept testing and creative validation where multimodal video signal extraction is the deliverable. Both instruments stay available, but the default for motivational research shifts to the new platform.”
Research team. Lead with the operating model: “The cutover is two weeks of effort plus a four-week parallel pilot. During the pilot, we run motivational studies on both platforms and compare the depth of insight surfaced. After the pilot, we sunset Conveo credit consumption for motivational research and concentrate it on multimodal concept testing where the architecture is the right fit.”
Finance / procurement. Lead with the operating-model conversion. The pricing shifts from a fixed annual Conveo Enterprise commitment to a variable per-study User Intuition line item that scales with research cadence. The migration investment (two weeks of ops time + parallel pilot) pays back within the first study cycle for most cadences. Conveo renewal can be reduced or kept on hand for multimodal concept testing where signal-extraction architecture is the right fit. For the full cost-by-frequency math at 1, 5, 10, 20, and 50 studies per year, see the Conveo pricing reference guide.
Executive sponsors. Lead with the strategic outcome: “Our research operating model now includes native-AI adaptive laddering for motivational research questions and continues multimodal video extraction for concept testing. The cost reduction on motivational research goes from $45K+/yr against an Enterprise floor to a variable line item at $200/study, which lets us run 5-10x more strategic research at the same total spend.”
How Does the Migration Math Work?
The migration investment is roughly two weeks of operational time including the parallel pilot. The cost difference between a Conveo Enterprise contract floor and User Intuition’s variable per-study pricing typically pays the migration investment back within the first study cycle of the new contract year — at higher volumes (10-20 studies per year) the payback compresses to weeks; at lower volumes (1-3 studies per year) the payback is immediate because the Conveo Enterprise floor is far above what variable per-study spend would have cost on User Intuition. The pricing converts from a fixed annual commitment to a variable line item that scales with how often the team runs research, which fits most research operating models better than a contract floor sized to expected cadence at procurement time. For the full cost-by-frequency math at 1, 5, 10, 20, and 50 studies per year, see the Conveo pricing reference guide.
Migration Timeline (Two Weeks of Effort + 4-Week Parallel Pilot)
| Week | Phase | Activities |
|---|---|---|
| Week 1 (Phase 1+2) | Extract + Recreate | Pull discussion guides, audience criteria, themes, video archives. Recreate 1-2 active studies in User Intuition guided setup. |
| Week 2 (Phase 3) | Stakeholder comms | Four audience scripts (research consumers, research team, finance, executive sponsors). Procurement engagement for invoicing/DPA/SSO if needed. |
| Weeks 3-6 (Phase 4) | Parallel pilot | Run 1-2 motivational studies on both Conveo and User Intuition. Compare depth of insight surfaced. Document delta. |
| Week 7+ | Cutover | Sunset Conveo consumption for motivational research. Concentrate remaining credit pool on multimodal concept testing if keeping the platform on hand. |
Risks and Mitigation
Risk: Stakeholders expect multimodal video clips. Mitigation: confirm in Phase 3 stakeholder comms that audio quotes + themed insight passages will replace multimodal video for motivational research. Keep Conveo on hand for studies where multimodal video signal is the explicit deliverable.
Risk: Existing Conveo Enterprise contract still has months remaining. Mitigation: run parallel pilot during contract overlap, sunset consumption gradually, target reduced renewal at next contract cycle rather than mid-cycle exit. Mid-cycle exits typically forfeit unused credits.
Risk: ESOMAR alignment is a procurement requirement. Mitigation: User Intuition’s adaptive-laddering methodology is rigorous (5-7 level systematic laddering, ontology-based extraction) but does not carry the explicit ESOMAR-informed branding Conveo uses. For research procurement teams where ESOMAR alignment is a strict gate, either keep Conveo on hand for ESOMAR-required studies or document the methodological equivalence in vendor review.
Risk: Specialized panel-partner geographies. Mitigation: User Intuition’s 4M+ vetted panel covers 50+ languages and most B2C and standard B2B audiences; for research that requires Conveo’s specific panel-partner geographies (some Norstat / Bilendi / Sago coverage), keep Conveo + the specific partner on hand for those studies.
When to Stay with Conveo
Stay with Conveo when the research operating model is structured around multimodal video signal extraction, when concept testing and creative validation are primary research deliverables, when ESOMAR-informed academic methodology is a procurement gate, when the eight integrated panel partners reach geographies User Intuition’s panel does not cover well, and when the team runs continuous high-cadence multimodal research that amortizes the Enterprise credit pool well. The migration math favors native-AI adaptive-laddering peers for motivational research; for multimodal video signal extraction, Conveo remains the structural fit. Many enterprise teams keep Conveo on a reduced contract for multimodal concept testing and add a native-AI peer for motivational research.
What to Do Today
Three steps for teams in active migration evaluation:
- Audit your last 12 months of Conveo studies. Categorize each as motivational research (why customers behave) or multimodal concept testing (where signal breadth matters). The migration economics depend on what share of research falls into each bucket.
- Pilot User Intuition with three free AI-moderated interviews. No card required, no procurement cycle, full Customer Intelligence Hub access. Validate adaptive 5-7 level laddering depth against your motivational research baseline before any commitment.
- Map your contract renewal date. The optimal cutover lands 30-60 days before renewal, which gives the parallel pilot enough runway to inform whether to renew, reduce, or sunset the Conveo Enterprise contract.