Mira

Product Introduction

1. Definition: Mira is an AI-powered qualitative research platform, specifically an AI moderator and automated qualitative research tool. It is a full-stack solution that automates the end-to-end research process, from study design and global participant recruitment to conducting dynamic interviews and synthesizing insights.
2. Core Value Proposition: It exists to solve the critical bottlenecks of traditional qualitative research—inconsistency, slowness, and the inability to systematically capture non-verbal emotional data. Mira delivers consistent, adaptive, and emotion-aware AI-moderated interviews at scale, generating structured insights 5x faster than human-led methods.

Main Features

1. Stimuli-Aware AI Question Planning: The platform automatically translates research goals into a structured interview guide. It organizes questions around uploaded stimuli (e.g., ad concepts, packaging images) and allows researchers to set parameters for conversation depth. This feature uses AI to ensure coverage of emotional, functional, and perceptual metrics from the outset.
2. AI-Driven Adaptive Moderation with Emotion AI: During live sessions, Mira's AI moderator conducts the interview. It uses real-time speech recognition and natural language processing (NLP) to understand participant responses. Crucially, it integrates proprietary Emotion AI technologies—including facial coding (via webcam), voice emotion analysis, and webcam-based eye tracking—to detect emotional and behavioral cues. The AI uses this multimodal data to probe deeper, simplify questions, or transition topics dynamically, mimicking a skilled human moderator.
3. Automated Synthesis & Question-Level Analytics: Immediately after a session, the platform provides instant analysis. This includes automated summaries, highlight clips tagged to key insights, and sentiment/emotional tone scoring for each question. It offers stimulus performance scores, measuring emotional intensity, engagement, and comprehension. This eliminates weeks of manual video review and tagging.
4. Integrated Global Recruitment Panel: Unlike standalone moderation tools, Mira provides access to an integrated panel of over 100 million participants across 120 countries. This feature allows researchers to launch studies with targeted demographics without sourcing participants externally, significantly accelerating the research timeline.
5. Multilingual & Enterprise-Grade Operation: The platform supports AI-moderated interviews in 70+ languages, ensuring consistent research quality across global markets. It is built to enterprise security standards (with 17 patents) and offers compliance documentation for regulations like GDPR, making it suitable for large organizations like Unilever and Nestlé.

Problems Solved

1. Pain Point: The high cost, inconsistency, and slow speed of human-moderated qualitative research. Traditional methods suffer from moderator bias, rigid scripts, and manual analysis that delays insights for weeks, often missing critical market windows.
2. Target Audience: User personas include Market Research Managers, Consumer Insights Leads, Product Managers, UX Researchers, and Brand Strategists in CPG, technology, retail, and healthcare sectors who require rapid, high-volume qualitative feedback.
3. Use Cases: The platform is essential for: Ad & Creative Testing to gauge emotional resonance pre-launch; Concept & Packaging Evaluation for real reaction validation; UX/Usability Research to pinpoint moments of friction and delight; Brand Perception Studies across diverse segments; and Shopper & Customer Journey Research to map emotional highs and lows at scale.

Unique Advantages

1. Differentiation: While many AI tools offer interview transcription or simple chatbots, Mira is a "full AI researcher." It combines adaptive AI moderation with integrated recruitment and, most distinctly, real-time multimodal emotion detection (face, voice, gaze). Competitors typically analyze only what is said; Mira analyzes how it is felt and expressed.
2. Key Innovation: The integration of its patented Emotion AI (facial coding, voice emotion AI, webcam eye tracking) directly into the live moderation loop. This allows the AI to probe based on emotional incongruence or peaks, a capability absent in script-based or text-only AI platforms. Its 17 patents underscore this technological moat.

Frequently Asked Questions (FAQ)

1. What is an AI moderated interview and how does it work? An AI moderated interview is a qualitative research session conducted entirely by artificial intelligence. Mira's AI builds a discussion guide from your goals, asks questions via video/audio, and uses speech recognition, NLP, and real-time emotion detection (facial/voice analysis) to adapt its probing dynamically. It then automatically generates transcripts, summaries, and emotional analytics.
2. Is AI moderated qualitative research as reliable as human-led research? For scale, consistency, and eliminating moderator bias, AI moderation is often superior. Mira provides identical interview quality across hundreds of simultaneous sessions in multiple languages. It is highly reliable for discovery, concept testing, and usability studies. For deeply sensitive or exploratory therapeutic interviews, human moderators are still recommended, making the two approaches complementary.
3. How does Mira ensure participant data privacy and security? Mira is designed for enterprise security. Participant data is handled under strict protocols; by default, participants join without creating accounts and no personally identifiable information (PII) is collected. The company states its AI providers do not use session data to train their models, and full compliance documentation (including GDPR) is available upon request.
4. Can I use Mira to test advertisements and marketing concepts? Yes, ad and creative testing is a primary use case. Mira's stimuli-aware planning and stimulus performance scoring are built for this. You can upload ad variants, and the platform will measure emotional response, engagement, recall, and comprehension, providing comparative data to identify the most effective creative before budget is spent.
5. What languages and countries does Mira support for global research? The Mira platform supports AI-moderated interviews in over 70 languages. It also provides integrated access to a global panel of potential participants spanning 120 countries, enabling truly multinational qualitative research studies with consistent methodology and rapid turnaround.