What Is Voicepanel?
Voicepanel is a Y Combinator-backed AI-native feedback platform built around a multi-method study: the AI moderator runs voice, video, screen, text and task sessions, and the platform generates thematic summaries with the underlying audio and video clips attached. Languages covered: 35+, with automatic translation handling the boundary between the participant and the synthesis layer. Earlier editions of this review framed Voicepanel as a Slack-first product; its current homepage leads with a broader feedback platform, and its pricing page lists Slack as one integration alongside an MCP server and a REST API.
The way Voicepanel sits in the AI voice research category turns on that breadth. Most adjacent platforms specialize in one method (interviews, surveys or usability tests); Voicepanel’s own pitch is that surveys, interviews and usability tests usually live in separate tools, and it brings them into the same study. Recruiting spans its built-in panel (the homepage cites 30M+ people across dozens of integrated panels, and its pricing FAQ cites more than ten panel partners), your own customers by link, and in-product intercepts. The product is bought two ways: a managed Agent engagement or an Enterprise platform agreement.
The multi-method AI feedback layer. What this methodology produces is mixed-method signal for product and research teams: usability checks, concept tests, in-app feedback, website feedback and market research, delivered as quantified themes with evidence. What gets traded off, on what Voicepanel publishes, is a stated depth profile: it describes depth as voice and video with adaptive follow-up inside structured protocols, rather than a fixed laddering method across 20–30 minute interviews, and it does not describe a cross-study knowledge layer comparable to User Intuition’s Customer Intelligence Hub. The rest of this review evaluates Voicepanel across five buyer-care dimensions (speed, cost, depth, scale, insights), then how User Intuition approaches the same dimensions, then security diligence and a decision framework.
How Fast Does Voicepanel Deliver Results?
Voicepanel-anchored. The speed envelope on Voicepanel is shaped by the offering you buy and where the audience comes from. Those two factors interact differently for each offering, so end-to-end speed is not a single number.
End-to-end question-to-answer time by offering:
- Agent, built-in panel. Voicepanel’s own positioning is first results within 24 hours. The built-in panel handles audience acquisition, which removes the slowest variable in most research programs — finding qualified participants — and Voicepanel’s team executes the study. For a single project where Voicepanel-recruited respondents fit your audience definition, the 24-hour clock is the headline number.
- Enterprise, your own audiences. Once you’re working from your customer list, links or intercepts, the recruiting clock moves to your side of the equation. How quickly Enterprise delivers follows your invite cadence, your respondent reply rate, and how aggressively you incentivize. Voicepanel’s portion of the pipeline (moderation and theme generation) does not gate the timeline; your audience does.
- Enterprise with partner panels. Concrete cycle times move from sales conversations into custom-scoped expectations — they’re a function of your specific audience, expected response volume, and whether you blend partner panels with your own list.
When the speed model fits. Product teams running continuous feedback where a 24-hour first-results cycle matches the sprint cadence and either the built-in panel or a responsive customer list handles the audience. Delivery into the tools the team already uses (a Slack integration, an MCP server) removes one cycle that other tools leave in: stakeholders see themes in their own channel, with no separate readout meeting needed for the team that’s about to act on them.
What Does Voicepanel Cost?
Voicepanel does not publish a rate on either offering. Its pricing page lists Agent, an ad-hoc engagement, and Enterprise, full platform access, and both route through a sales conversation (Get a quote or Get a demo); the page says pricing is tailored to each customer based on specific needs, team size and expected usage. For buyers running parallel evaluations or building procurement spreadsheets, that is a structural fact to plan around — Voicepanel cost figures cannot be obtained without vendor contact.
A second wrinkle in the cost picture: earlier editions of this review described three tiers (Pay-as-you-go, Pro with a 14-day free trial, and Enterprise), and stale third-party rate cards persist on aggregator sites. TrustRadius, SaasWorthy, Cybernews, and opentools all still surface what appears to be a $99/month tier plus a free plan with 50 responses per month. Those numbers no longer appear on Voicepanel’s live pricing page, and any procurement reference based on them is out of date. Treat aggregator dollar amounts as historical artifacts, not current quotes.
The likely reason both offerings are quoted is the recruiting architecture itself. Agent ships built-in panel recruitment only, paid through usage-based recruiting credits, and Enterprise adds the best rates alongside unlimited usage with your own audiences. Per-respondent cost varies by audience, survey length, incentives and screening depth, which makes a single posted rate hard to honor without misleading some segment of buyers. For the full offering-by-offering breakdown and what to ask during the sales call, see the Voicepanel pricing breakdown.
Already evaluating Voicepanel? Run the same research question on User Intuition first — three free interviews that cover the platform rate (panel recruiting is billed separately), no card, panel results in 24 hours. Start free →
How Deep Does Voicepanel Go in Each Interview?
Voicepanel-anchored. Voicepanel describes its depth as voice and video with adaptive follow-up, combined with structured protocols, positioned between typed open-ended survey answers and traditional qualitative research. It publishes no standard interview length, probing depth or laddering method. The implications cascade through three pieces of the methodology — the session format itself, the theme extraction layer, and the ceiling on how far the platform reaches into identity-level driver territory.
Session format. Voice, video, screen, text and task sessions can be mixed in one study, with AI follow-ups and conditional branching, so a session can pair a usability task with a short conversation. The probing pattern is built to surface “what’s the user friction here” — concrete observations about an interface, a concept, a message — and Voicepanel does not describe multi-turn laddering against a single thread to reach “what’s the identity-level driver of this behavior.” Specific session-length expectations and probing behavior are best verified in the Enterprise evaluation, or in a scoped Agent study, against research questions from your own backlog.
Theme extraction. The AI generates thematic summaries and quantified themes with evidence — quotes, audio and video clips — alongside highlight reels and AI-generated reports. That output design suits product-team consumption inside a sprint cadence, because stakeholders can scan the themes and click a clip to verify a specific quote or moment. The trade-off is that a theme-level summary is a different artifact than a deeply analyzed qualitative report; the format compresses for scannability.
Depth ceiling. Periodic 20–30 minute systematic depth research with 5-7 level laddering on every interview is a different commitment than what Voicepanel publishes. Its structured-protocol approach is built for studies where theme synthesis and quantification matter more than the kind of slow, recursive driver discovery that produces positioning insights or pricing-architecture rationale. That distinction is not a bug — it’s a choice about what the research wants. It does mean Voicepanel and a depth-research platform are answering different questions, not different versions of the same question.
When depth is Voicepanel’s strength. Mixed-method product feedback — usability check-ins, concept-test reactions, message-resonance probes, in-app feedback — where themes and quantified evidence in 24 hours fit the operating cadence and the decision space is narrow enough that theme-level synthesis is the right resolution.
How Does Voicepanel Scale to Your Research Volume?
Voicepanel-anchored. Scale on Voicepanel is shaped by three architectural choices in combination: offering-scaled recruiting, delivery into the tools teams already use, and quoted procurement on both offerings. Each surface scales differently, which is more important than treating “scale” as a single dimension.
Audience scaling. The offering controls how the audience funnel widens. Agent ships built-in panel recruitment only — fine for panel-reachable consumer audiences, structurally limiting for B2B buyers whose target list isn’t in any panel unless Voicepanel’s partner panels or niche B2B partners reach them. Enterprise adds unlimited usage with your own lists, links and partner panels, so a buyer with a CSV list of customers can finally reach them at scale, and larger programs that blend the streams usually land there. 35+ languages with automatic translation extend the reach across markets, with the translation layer handling the moderator-to-participant boundary for non-English sessions.
Frequency scaling. Enterprise is an agreement with unlimited usage on your own audiences, which changes the unit economics once you cross the volume threshold. Frequency stops compounding cost the way per-engagement billing does — every additional study on your own audience is captured under the same agreement, while built-in panel recruiting stays usage-based. Agent scales per engagement, so cost is roughly linear in study count. The crossover from Agent to Enterprise likely lands wherever your study cadence makes the agreement cheaper than the per-engagement sum, but the specific math follows rates that are only obtainable through the sales call.
Team scaling. Voicepanel assigns three roles — viewers see study results, editors create and edit their own studies, and admins control publishing, permissions and account settings — and the Slack integration delivers findings into the channels where product teams already work. Enterprise adds study-level permissions, multiple workspaces and governance for larger organizations that need finer-grained controls. Whether additional seats carry a fee is a quote item: ask how viewers, editors and admins are priced on each offering.
When scale is Voicepanel’s strength. Product organizations with established feedback workflows and continuous cadence, where the built-in panel or unlimited own-audience usage handles the audience appropriately and shared outputs handle distribution to stakeholders without per-seat headcount math.
How Useful Are Voicepanel’s Insights — and Do They Compound?
Voicepanel-anchored. The output shape is thematic summaries and quantified themes paired with quotes, audio and video clips, plus highlight reels and AI-generated reports. The interesting question about insight value is not whether the themes are good in isolation — they’re shaped well for sprint-cycle consumption — but whether the model produces compounding intelligence across multiple engagements.
Per-project insight quality. Strong on what the format is built for. Themes are scannable, clips are clickable for stakeholders who want to verify a moment, and highlight reels stitch the per-study evidence into shareable artifacts. There is no separate readout meeting required for stakeholders who receive the output in the tools they already use — Voicepanel lists a Slack integration, and its MCP server and REST API open results to other tools. For a single research question with a defined decision attached, that delivery model removes friction the way a well-built integration is supposed to.
Insight compounding. Voicepanel lists chat with your data, cross-tab analysis, persona segmentation and raw-data export, and its MCP connector gives an AI assistant access to studies, findings and transcripts, so past work is queryable. What Voicepanel does not describe is an ontology-indexed knowledge layer that structures every interview across studies for plain-language questions about how themes shifted over time. A research practice that wants to interrogate the full archive — comparing themes over time, tracing how a problem shifted across consecutive studies, surfacing patterns across studies that no individual session uncovered — should test those workflows on a real 12-month backlog during the Enterprise evaluation, and compare the answer with a corpus built for cross-study querying.
A concrete example: if January’s usability study surfaced friction on the new pricing page, and March’s concept test captured reactions to a redesigned pricing flow, ask Voicepanel “how did the pricing-friction language shift between January and March” against the existing corpus, and judge whether the answer cites the specific verbatim quotes from both studies. That is the test of whether the archive is a queryable asset or a set of records.
When the insight model works. Continuous tactical feedback where the per-study themes are the asset and cumulative cross-study querying isn’t part of the operating model. Teams that consume research per-decision rather than per-archive find the format aligned with their workflow.
How Does User Intuition Approach the Same Dimensions?
User Intuition runs an adjacent lane — AI-led qualitative interviews — but optimized for 20–30 minute systematic depth research with 5-7 level adaptive laddering rather than mixed-method product feedback delivered on a sprint cadence. The research-question pivot is strategic depth vs tactical signal cadence. Both methodologies are legitimate; they answer different questions. The five sub-sections below contrast UI against Voicepanel on speed, cost, depth, scale, and insights — what the operating-model swap actually looks like at each dimension.
Speed
Where Voicepanel’s Agent path targets first results within 24 hours on its built-in panel, User Intuition’s panel studies target decision-grade depth research at the same speed: 200+ interviews in 24 hours from the 4M+ vetted panel. Different speed targets — one is optimized for a managed, scoped engagement, the other is optimized for compressing strategic research that would historically have taken six to eight weeks down to roughly the window a product sprint runs in. With your own participants, interviews run in parallel as they respond; specialist audiences are recruited to order, so timing follows incidence.
The mechanics that produce UI’s clock are the 4M+ vetted panel ready today and the AI moderator that runs every interview in parallel. Audience acquisition does not block the timeline because the panel is already there. Moderation throughput does not block the timeline because an AI agent can run 20, 200, or 2,000 sessions concurrently. The 5-7 level laddering happens inside each session adaptively, which means depth is achieved during the interview itself rather than reconstructed afterward.
Three free interviews are available on signup with no card required, and they cover the platform rate; panel recruiting is billed separately. That is the speed advantage at the front of the funnel — you can have your first depth interview running in the same session you signed up in, with your own participants or against a panel that is queueing immediately. Voicepanel arranges Enterprise evaluation access through a sales conversation, so the front-of-funnel speed comparison is “self-serve in minutes” versus “a scoped conversation, then evaluation access.”
Cost
Where Voicepanel ships two quoted offerings with no rate published on either, User Intuition publishes per-interview rates on the public pricing page and lets buyers model cost in a spreadsheet before any vendor contact. UI’s Starter pricing is $30 per voice interview ($60 video, $15 chat). A standard 10-interview voice study runs $300 in platform fees, or $600 with standard panel recruitment at $30 per participant. Three free interviews on signup cover the platform rate for the first sample; recruiting is billed separately on any study that uses the panel.
The math angle is the cleaner way to read the difference. UI’s cost is computable from the public site — you can build a 12-month research budget against expected study count and modality mix without speaking to anyone. Voicepanel’s cost is only computable after a sales call, and the call gates both offerings including the evaluation. For procurement processes that need a comparison spreadsheet before any vendor process opens, that asymmetry resolves before either platform’s actual rates matter.
Per-interview pricing also means cost scales linearly with research volume. There is no annual commitment to amortize, no minimum, and no upgrade path that triggers a fresh negotiation cycle. A team that runs three studies a year and a team that runs thirty pay the same per-interview rate, with subscription options for teams running continuous research detailed on the pricing page.
Depth
Where Voicepanel combines depth with structured protocols inside mixed-method studies, User Intuition’s interviews run 20–30 minutes with systematic 5-7 level adaptive laddering on every conversation. The methodology gap is upfront and intentional — the platforms are targeting different research questions, not different qualities of the same answer.
Adaptive laddering means the AI moderator probes one level deeper every time a respondent stops at a stated preference. “I switched because it was cheaper” surfaces — the AI asks why cheaper mattered, then why that particular flavor of cost-sensitivity surfaced, then what changed in their context that made it suddenly important, then what they substituted for the previous solution. Five to seven turns of that produces motivational data that surface-level interviews do not reach, because the conversation reconstructs identity-level driver structure rather than capturing only the first observable response.
The research questions where that depth pays off are positioning shifts, win-loss reasoning, churn-driver analysis, brand-perception mapping, pricing-architecture rationale — anywhere the strategic decision depends on understanding why customers do what they do at a level deeper than what they self-report. The research questions where Voicepanel’s mixed-method format pays off are concept tests, in-app feedback, message-resonance probes, usability check-ins — anywhere the decision turns on observable friction rather than identity drivers.
A buyer running both kinds of research can use both. A buyer running primarily one kind should choose against the question their research program actually asks. The 98% participant satisfaction figure on UI reflects the conversation experience that produces depth: long-form participants stay engaged when the AI moderator probes meaningfully rather than running a pre-scripted survey.
Scale
Where Voicepanel’s recruiting architecture splits across offerings — Agent gets the built-in panel only, Enterprise adds unlimited usage with your own audiences at the best rates — User Intuition offers the full 4M+ vetted panel and CRM-integration recruiting on every plan including Starter, with standard panel recruiting at $30 per participant. The architectural difference is that UI does not gate recruiting access behind an offering or subscription tier; the recruiting surface is the same surface across every account.
That changes the scaling math. Voicepanel’s audience expansion follows the offering — a buyer who starts with an Agent engagement on the built-in panel and discovers they need unlimited own-audience usage moves to an Enterprise agreement, which means a sales conversation. UI’s audience expansion happens through study sizing on the same plan — a buyer running 10 interviews this month and 200 next month pays per-interview without procurement involvement, and the panel itself is the same panel available during the free trial.
Hybrid studies that blend customer-list recruiting with panel recruiting in the same project are the structural use case where the available-everywhere architecture matters most. A churn study that wants to compare current customers against former customers, or a brand study that wants to compare customers against market-level respondents, runs as one study with two audience sources on UI. Voicepanel also supports blending sources (its FAQ says many teams do), though unlimited own-audience usage sits on Enterprise, which requires a sales conversation, and Agent engagements use the built-in panel only.
Multilingual reach: UI ships 80+ languages with native AI moderation across North America, Latin America, and Europe. Voicepanel ships 35+ languages with automatic translation. Both work for global programs; the depth of native-language moderation matters more for research questions where linguistic nuance carries content (positioning research in non-English markets) than for usability tests where the question is observable behavior.
Insights
Where Voicepanel’s output is thematic summaries and quantified themes with evidence, optimized for stakeholder distribution through its integrations, User Intuition’s output is the Customer Intelligence Hub — an ontology-indexed cross-study corpus that supports plain-language queries across every study an account has ever run. The unit of value is different: per-study themes on one side, queryable knowledge across the archive on the other.
Practically, that means a UI account can ask “what did we learn about pricing friction across the last 18 months of studies” and get a synthesized answer assembled from every interview that touched the question, with citations back to the specific verbatim quotes. Past research becomes a current asset rather than a folder of completed reports. The Hub is structured around an ontology that lets the model traverse concepts across studies — pricing friction in January’s usability study, pricing reactions in March’s concept test, churn rationale in June’s exit interviews — and assemble a cross-study answer to the standing question.
That model has a different operating implication. A UI account that has run 24 studies has a research asset; a Voicepanel account that has run 24 studies holds 24 studies in a workspace, searchable through its chat-with-your-data and cross-tab tools. Both are legitimate. The asset-shaped output matters more for research programs where past learnings need to inform future decisions, executive readouts need to draw on cross-study evidence, and the research team is building toward institutional knowledge rather than per-project deliverables.
Side-by-side at a glance
| Dimension | Voicepanel | User Intuition |
|---|---|---|
| Speed | First results within 24h on the Agent offering (built-in panel) | 200+ panel interviews in 24h with 20–30 min depth |
| Cost | Quoted on both offerings, no published rates | $30/voice interview, $300/10-interview study, published |
| Depth | Voice and video with adaptive follow-up inside structured protocols; no published length or laddering depth | 20–30 min with 5-7 level adaptive laddering |
| Scale (audience) | Agent: built-in panel; Enterprise: unlimited own-audience usage and partner panels | 4M+ vetted panel + CRM-integration on every plan |
| Scale (frequency) | Agent: per engagement; Enterprise: unlimited usage on your own audiences | Per-interview rate; subscription options for bulk on the pricing page |
| Scale (team) | Viewer, editor and admin roles; Slack integration; governance on Enterprise | Included in study cost; no per-seat fees |
| Insights (quality) | Thematic summaries and quantified themes + audio/video clips | Verbatim transcripts + ontology-indexed extraction |
| Insights (persistence) | Chat with your data, cross-tab analysis and MCP access; no ontology-indexed corpus described | Customer Intelligence Hub, plain-language cross-study queries |
| Public ratings | Not displayed on voicepanel.com | 4.9/5 on G2 and 5/5 on Capterra |
| Free trial | Evaluation access arranged through sales for Enterprise buyers | 3 free interviews on signup, no card (they cover the platform rate) |
How Do Voicepanel and User Intuition Compare on Security and Compliance Posture?
Security has two distinct surfaces: certification posture (SOC 2, ISO 27001, HIPAA — the cert checklist your procurement team will ask for) and data risk posture (where customer data actually flows — recruitment human touchpoints, export footprint, retention defaults, AI training policy). A buyer’s security review needs answers on both surfaces, and the two platforms answer them differently.
| Surface | Voicepanel | User Intuition |
|---|---|---|
| Certification posture | States SOC 2 Type II, GDPR and HIPAA compliance on its homepage and lists a SOC 2 Type II report among its Enterprise controls | SOC 2 Type II examination underway (no report issued yet); GDPR and CCPA compliant; HIPAA assessment underway; ISO 27001 planned for 2026 |
| Sub-processor disclosure | Trust Center lists controls, subprocessors and agreements | Covered in the security overview |
| Participant PII surface | No PII required by default; email or opaque identifiers optional; recruiting through built-in panel partners (Agent) or your own audiences (Enterprise) | 4M+ vetted panel with multi-layer fraud prevention plus CRM-integration on every plan; consistent surface across plans |
| Customer data export footprint | Raw data export and analysis export; MCP and REST API access on Enterprise | Verbatim transcript export, structured JSON, and Customer Intelligence Hub access; documented retention defaults |
| AI training and retention | States it does not train on customer data; confirm retention defaults in the Trust Center or DPA before signing | Customer data precluded from AI training by policy; retention defaults documented in the security overview |
Different certification profiles. Voicepanel states SOC 2 Type II, GDPR and HIPAA compliance on its homepage, lists a SOC 2 Type II report among its Enterprise controls, and points to a Trust Center for controls, subprocessors and agreements, so its security review can start from public documents. On certification posture today that is ahead of User Intuition, whose SOC 2 Type II examination is underway and has not produced a report. User Intuition’s posture is published in the public security overview with retention defaults documented and an AI-training-precluded policy stated, which lets a security review start before the procurement team enters the loop. Buyers whose procurement gates require a completed SOC 2 Type II report this quarter should weigh that difference directly.
How to Choose Between Voicepanel and User Intuition
The choice between Voicepanel and User Intuition is a choice between continuous tactical product feedback and decision-grade strategic depth research. Three lenses to orient.
By research-question type:
| Research question | Best fit | Why |
|---|---|---|
| Usability testing on a new interface | Voicepanel | Screen and task capture plus AI follow-ups in one study; results delivered into team tools |
| Churn-driver analysis | User Intuition | 5-7 level laddering reaches identity-level motivations; cross-study corpus |
| Concept tests during design sprints | Voicepanel | Stimuli, quantified themes and mixed-method studies sized for product-team consumption |
| Win-loss reasoning behind enterprise deals | User Intuition | 20–30 min depth surfaces decision rationale that surface-level interviews miss |
| In-app feedback on a feature release | Voicepanel | In-product intercepts and Slack integration; first results within 24 hours on the Agent offering |
| Brand-perception mapping | User Intuition | Ontology-indexed corpus supports cross-study positioning analysis |
By research-frequency profile:
| Cadence | Best fit | Why |
|---|---|---|
| Continuous lightweight studies, tied to sprint cycle | Voicepanel | Enterprise unlimited usage on your own audiences; results delivered through its Slack integration |
| Periodic strategic studies, 4-12 per year | User Intuition | Per-interview pricing; published rates support spreadsheet budgeting |
| Single decision-grade study before a major launch | User Intuition | Three free interviews cover the platform rate; depth in 24 hours on the panel |
| Always-on product pulse | Voicepanel | Enterprise agreement fits always-on cadence economically |
| Hybrid program (some tactical, some strategic) | Both | Two-platform answer is common; see closing paragraph |
By operating-model fit:
| Procurement profile | Best fit | Why |
|---|---|---|
| Comfortable with sales-quoted procurement on every vendor | Voicepanel acceptable | Two quoted offerings fit a procurement-led workflow |
| Need published pricing before any sales call | User Intuition | Per-interview rates on public site; spreadsheet-modelable |
| Product organization that wants results delivered into Slack and AI assistants | Voicepanel | Slack integration, MCP server and REST API deliver results into existing surfaces |
| Research team building cross-study institutional knowledge | User Intuition | Customer Intelligence Hub structures the corpus |
| Procurement gates require a completed SOC 2 Type II report today | Voicepanel | States SOC 2 Type II compliance; User Intuition’s examination is underway |
| Procurement review can start from a public security overview | User Intuition | Retention defaults and AI-training policy published; SOC 2 Type II examination underway |
Two-platform answer. Some orgs want both: UI for strategic depth research where motivational drivers change positioning; Voicepanel for tactical mixed-method product feedback. Most teams reading this review don’t need both — they need decision-grade depth research at published rates with a panel available on demand, not quoted procurement.
Evaluation Questions for Your Voicepanel Demo
Use these questions in the scoping call before committing to either offering.
Speed
- What is the realistic end-to-end clock from project kickoff to themes delivered on each offering, given a panel-reachable consumer audience?
- On Enterprise with your own audiences, how does Voicepanel coach customers to optimize invite cadence and reply rate so the recruiting clock doesn’t dominate the timeline?
Cost
- Provide an itemized rate for our specific expected research volume across both offerings, including per-respondent recruiting cost, minimum commitment, auto-renewal terms, and cancellation terms.
- What is the typical crossover point from Agent engagements to an Enterprise agreement for accounts with our profile, and what triggers the recommendation to move?
Depth
- Walk us through a 25-minute Voicepanel transcript from a real customer engagement. Does the AI sustain probing depth at minute 12 when a participant gives a vague answer, or does it move on?
- For research questions where identity-level drivers matter — pricing rationale, churn motivation — how does Voicepanel’s session format compare to a long-form depth interview?
Scale
- Show recruit fit on our specific audience type on each offering. Sample respondent demographics, screener pass rates, and time-to-recruit on Agent (built-in panel) and Enterprise (own audiences, links and partner panels).
- How does the Slack integration handle a 40-person product organization with multiple business units that need scoped access? What do study-level permissions and multiple workspaces on Enterprise look like in practice?
Insights
- Show us a customer using Voicepanel as their primary research surface across 12+ months. What does cross-study querying look like for them in practice?
- Walk through how a research team consumes Voicepanel output alongside a separate research repository, if that pattern is common in your customer base.
Security
- Provide the SOC 2 Type II report, DPA terms, subprocessor list and data retention policy in writing before signing. Confirm in the contract the homepage statement that Voicepanel does not train on customer data, including participant recordings.
- Detail the recruiting human touchpoint on each offering, including which Voicepanel personnel can see participant PII at which stage of the funnel.
- Confirm SSO options (Okta, Azure AD, Google Workspace), role-based access controls, and audit log availability on the Enterprise offering.
Run these questions in parallel against three free User Intuition interviews, which cover the platform rate; panel recruiting is billed separately. Comparative output is the cheapest way to know which model fits your team.
Three free interviews cover the platform rate; panel recruiting is billed separately. No card. 5 minutes to launch. 4.9/5 on G2 and 5/5 on Capterra. Try User Intuition → · Compare Voicepanel vs User Intuition → · Voicepanel pricing reference → · 7 Voicepanel alternatives compared → · Migration guide →