Miravoice: AI Voice Agents for Phone Surveys and Interviews

What Miravoice Actually Does

Miravoice is a voice-agent platform built for one specific job: collecting survey and interview data over the phone. Instead of staffing a call center with human interviewers, you design a survey and Miravoice's AI agent dials respondents, conducts the conversation, and records the answers.

The platform uses natural language processing to handle the messiness of real speech. It can interpret vague or imprecise responses, categorize them, and gracefully deal with interruptions, pauses, and respondent questions. It supports 14 languages, including English, Spanish, French, Portuguese, German, Chinese, Japanese, Hindi, Italian, Korean, Dutch, Polish, Russian, and Swedish. Critically, the output is structured: you get transcripts, audio recordings, and clean data exportable to CSV, Microsoft Excel, Qualtrics, Forsta Decipher, Voxco, or other analysis tools.

Survey design is configurable in the ways research teams expect: branching logic, skip patterns, follow-up questions, answer-choice randomization, and multiple question types (multiple choice, open-ended, rating scales). Note that Surveybot AI rebranded to Miravoice; it is the same team and platform.

Who It's For and Why It Helps

The clearest fit is quantitative survey research. Miravoice lists use cases across research surveys (consumer, market, public opinion, political polling), evaluations (customer feedback, employee experience), and screening (intake interviews, applicant screening, panel recruitment).

The value proposition is concrete. Speed: it can call thousands of people at once and answer inbound callbacks at any hour, so fielding finishes in days rather than weeks. Reach: an AI interviewer is "infinitely patient" and multilingual, which helps with hard-to-reach groups like non-English speakers and elderly respondents. Cost: the company claims 70-90% savings versus a traditional call center, with usage-based pricing tied to call geography, volume, and length.

What sets Miravoice apart from typical vendor claims is published, third-party-adjacent research. The company has presented at AAPOR 2025 (with SSRS), MAPOR 2025 (with NORC at the University of Chicago), and NLPOR 2025 (with Professor Trent D. Buskirk). The findings are refreshingly measured: respondents report positive experiences and some even prefer the AI to traditional CATI, but the NLPOR work concludes AI interviewers currently fit quantitative work better than qualitative. That honesty is worth more than a glossy testimonial.

Where It Fits Versus Alternatives

There are three reference points. Traditional CATI phone banks and call centers are the incumbent Miravoice is displacing on cost and speed. Legacy IVR systems ("press 1 for yes") are the older automated approach; Miravoice's own research argues AI interviewers outperform IVR by handling open speech rather than rigid menu trees. And general-purpose voice-AI builders are an adjacent category.

If you wanted to assemble something similar yourself, you'd reach for a voice-agent framework and a language model like OpenAI or Claude, then wire telephony, retries, and data export through automation tools such as Zapier, Make, or n8n. The reason most research teams won't do that is the survey-specific machinery: branching logic at scale, answer randomization, structured coding of open-ended responses, and direct export to Qualtrics or Voxco. That research-methodology layer, plus the published validation studies, is what Miravoice is selling.

The honest caveats: pricing is custom and contact-gated, so you can't comparison-shop without a demo. The platform is purpose-built for phone surveys, not a general voice assistant, sales caller, or support bot, so look elsewhere if that's your need. And by the company's own research, qualitative depth interviews remain a weaker fit than structured quantitative surveys for now.

For research organizations, pollsters, and screening teams already paying for phone fieldwork, Miravoice is a credible way to cut cost and turnaround while keeping clean, exportable data. If you want help scoping a voice-survey or data-collection workflow, browse the provider directory to find someone who can implement it.