AI-moderated interviews support three modalities: voice, video, and chat. Each produces different data characteristics and suits different research contexts. Choosing the right modality is a study design decision that affects data quality, participant experience, and completion rates.
Voice Interviews
Best for: Deep emotional exploration, churn diagnosis, win-loss research, brand perception studies.
Why it works: Participants speak more naturally than they type. Verbal communication enables faster expression, more spontaneous responses, and prosodic cues (tone, pace, hesitation) that provide additional signal. When a participant’s voice drops when discussing a professional embarrassment, that signal enriches the data even if the transcript doesn’t capture it.
Considerations: Participants need a quiet environment. Non-native speakers may be less comfortable in voice format. Some participants find voice recording more intimidating than text.
Typical conversation length: 25-35 minutes. Voice conversations tend to be longer because speaking is faster than typing and conversational flow is more natural.
Video Interviews
Best for: UX research, prototype testing, screen-share walkthroughs, concept testing with visual stimuli.
Why it works: Video adds visual observation — facial expressions, body language, and screen interaction — that enriches the qualitative data. For UX research, watching a participant navigate a prototype while discussing their experience produces richer insight than either observation or conversation alone.
Considerations: Requires camera and decent internet connection. Some participants decline video. Higher technical friction than voice or chat.
Typical conversation length: 25-40 minutes. Screen-share sessions may run longer as participants navigate prototypes.
Chat Interviews
Best for: Mobile-first audiences, asynchronous research across time zones, sensitive topics, international studies.
Why it works: Participants can engage on any device, at any time, from any location. No scheduling, no recording anxiety, no technical requirements beyond a browser. For sensitive topics, the text format reduces social desirability bias — participants share more candidly when not speaking aloud.
Considerations: Written responses tend to be shorter than verbal ones. The conversational rhythm is slower. Participants who are poor writers may underperform relative to their depth of experience.
Typical conversation length: 20-30 minutes of active engagement, though elapsed time may span hours as participants engage asynchronously.
Modality Selection Framework
| Research Context | Recommended Modality | Rationale |
|---|---|---|
| Churn diagnosis | Voice | Emotional depth, natural flow |
| Win-loss analysis | Voice | Candid, narrative-driven |
| UX research | Video | Screen observation essential |
| Concept testing | Video or Voice | Visual stimuli + verbal reaction |
| Brand perception | Voice | Emotional, associative responses |
| Sensitive topics | Chat | Reduced social desirability |
| Global/multilingual | Chat | Any timezone, 50+ languages |
| Mobile-first audience | Chat | No app or equipment needed |
| Maximum depth | Voice | Fastest path to level 5-7 |
| Maximum reach | Chat | Highest completion rates |
Multi-Modality Studies
User Intuition supports offering participants their choice of modality within a single study. This maximizes both reach (participants engage in their preferred format) and completion rates (no one is excluded by modality requirements). The 98% satisfaction rate reflects this flexibility — participants feel respected when given the choice.