Turn sessions
into one shared record.
Speak AI runs the same analysis on listening sessions and focus groups: full transcripts, themes, and sentiment, so you can pick the right method for the moment without losing the substance to hand-written notes. We build it with you.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring one session. Leave with it coded.
A working session, not a sales pitch. No obligation.
You bring a real session
A listening session recording, a focus group discussion, or an interview. Whatever your team reviews by hand today.
We map your coding scheme
The themes in your discussion guide, your screener criteria, your analysis framework. Your words, your categories. Not a template.
You see it coded, live
Your own session, transcribed and themed on your own criteria, with a rollout plan for the whole team.
Listening sessions and focus groups for every kind of team.
The same engine, pointed at the research your team actually runs.
Client research programs
Listening sessions and focus groups from every project land in one library, transcribed and themed the same way, so client reports draw on the full record, not scattered notes.
Usability & feedback sessions
One-on-one usability sessions and group feedback panels analyzed side by side, so product teams see which format actually surfaced the insight that shipped a fix.
Employee listening programs
Skip-level conversations and team listening sessions transcribed and sentiment-scored, so people teams track morale trends without relying on survey scores alone.
Public listening sessions
Town halls, public comment sessions, and community focus groups captured and summarized, so planners can show what residents actually said, not a paraphrase.
Interview & focus group coding
Apply a coding framework consistently across one-on-one interviews and focus groups, with quoted evidence for every theme instead of a spreadsheet built by hand.
Agencies & white label
Run listening sessions and focus groups for clients on a branded workspace, with exports and the API, billed on usage instead of per seat.
A different approach to listening sessions and focus groups.
Most teams don’t actually choose between a listening session and a focus group. They run whatever they ran last time, book a room or a call, take notes by hand, and write up impressions from memory a week later. The real distinctions, size, structure, and how deep you can go with any one person, get flattened into “we did some research.” By the time someone asks what people actually said, the detail is gone and only the vibe survives.
Why the choice gets made by default, not by design
A listening session is typically a one-on-one or small conversation, unstructured enough that a participant can take it somewhere you didn’t plan. A focus group is a group setting with a moderator guiding several people through the same questions. The first goes deep with one person; the second surfaces how a room of people react to each other in real time. Neither is better, they answer different questions, but most teams default to whichever format they already know how to book, not the one the research question actually needs.
Reading either format the same way
Speak AI runs the same analysis engine over both formats. Every session, one-on-one conversations or full focus groups, is transcribed in your language, with 100+ supported, and then read on a second layer: the tone and energy in the room, not just the words on the page. Ask across your entire session history with AI chat, the same high-quality prompt workflows teams once stitched together manually, now running natively over your recordings with ChatGPT, Claude, and Gemini built in through the MCP server. Themes are tracked across the whole project, so a comment made in week one and again in week six show up as the same trend line, not two unrelated notes.
Questions researchers ask across the two formats
- “Which listening sessions surfaced ideas we haven’t heard in a focus group yet?”
- “Where did focus group participants seem to agree with the loudest voice in the room just to move on?”
- “Show me every session, either format, where pricing came up unprompted.”
- “Which one-on-one conversations went deepest on the return process complaint, and what did people actually say?”
From two separate write-ups to one comparable record
The result is a record where a listening session and a focus group sit side by side instead of living in two different note-taking habits. Customizable, white-label dashboards track theme frequency and sentiment across both formats over time, so this quarter’s sessions are measured against last quarter’s, not just described. One global market research firm, Olson Zaltman research, ran its studies through this workflow and saved $60K and 950 hours. And because the same engine scores interviews, calls, and meetings on the same criteria, listening sessions and focus groups connect to interview coding and coaching across every other conversation your team runs.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the fields, themes, and coding scheme around how your team runs listening sessions and focus groups: screener criteria, session length, discussion guide. Then we prime the application on your existing sessions so it is useful from the first file. You get structured data back, not just a transcript.
- We design the context, fields, and coding framework around your listening sessions and focus groups, not a template.
- Your past sessions and transcripts prime the knowledge base before your next study.
- Structured themes on every session, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Bring your applications into Claude, ChatGPT, and Cursor.
No terminal. No npm. No config. Speak AI's MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.
One platform. Not one model.
A generic AI tool locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each session, format, and team, so your applications are never locked to a single vendor.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
100+ languages
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
A listening session is built to surface open-ended feedback in a low-pressure, one-on-one or small-group setting, usually to hear how people genuinely feel about a product, service, or decision before you have settled on the questions to ask. It works best early, when you are exploring rather than confirming.
Skip a focus group when you need someone’s honest individual opinion, group settings tend to surface the loudest or most confident view, or when the topic is sensitive enough that people will not say it in front of others. It also is not the right format for statistically representative results.
The structured, group format can flatten dissenting opinions. Quieter participants often defer to whoever spoke first, and a skilled moderator has to actively counter that or the transcript ends up reflecting one or two loud voices instead of the group.
Ask open-ended questions, resist the urge to fill silence, and let the conversation go where the participant takes it. The facilitator’s job is mostly listening and following up, not running a fixed script. Speak AI transcribes and analyzes the session afterward, so you can focus on the conversation instead of note-taking.
Your first coded session runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing sessions.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.
Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
From a full session queue to a coded record.
Book a free consult, bring a real listening session or focus group recording, and watch it transcribed, themed, and coded before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.