Why inVibe Uses LLMs — and Why You Can Trust the Results
As a listening company, our work hinges on the authenticity and humanity of real people’s voices. And we have the responsibility to interpret those voices accurately, consistently, and with empathy. Since 2021, we’ve been using large language models (LLMs) to help us do that work more quickly and at scale by enhancing the expertise of our linguists, not by replacing it. At inVibe, we leverage custom AI tools built on the foundations of language science and validated to help us and our clients to move faster and go deeper without compromising accuracy, clarity, or strategic relevance.
How We Validate Our AI Tools
Using LLMs responsibly means understanding both their strengths and their limits and then testing them iteratively. That’s why every AI-enabled workflow at inVibe is anchored in a simple-yet powerful validation process: compare question, verify, refine.
- Source Data Verification: Our trained linguists review model themes and summaries side‑by‑side with the original data to ensure findings map to what respondents actually said.
- Configuration Stress-testing:We compare prompts and models, then tune for fidelity, scoring outputs across five criteria: completeness, accuracy, integrity, organization, and clarity.
- Iteration and Re-verification: When results fall short, we refine the approach and retest until the outputs align with the voice data.
This continuous evaluation ensures our AI tools produce reliable findings and insights grounded in the real voices in the sample.
How We Use LLMs Today
Across our platform, LLMs accelerate the parts of analysis that benefit from scale while keeping our linguists focused on the elements that require human judgement. Here’s a quick look at some of the tools our clients use most:
- Project Chat and Multi-Project Chat: Allows users to interact directly with their data to generate key findings and question summaries, or to get answers to nuanced, exploratory questions.
- AI Video Presentations: Translates voice data into theme-driven video slideshows with crisp voice narration, making it easy to quickly communicate insights to internal and external stakeholders.
- Automated Topic Tagging: Identifies and annotates key topics and themes in the transcripts and summarizes the content of each across responses, enabling rapid exploration of areas of interest.
- AI-assisted Moderation: Guides respondents via intelligent prompting and real-time content checks to provide richer, more complete responses, reducing outreach days and increasing data quality.
In every case, human oversight is built in. Our analysts review outputs against the raw voice data and refine system prompts and configurations to maintain alignment with respondents’ actual words and emotional signals.
Insight at Strategic Speed
LLMs let us move faster. Our validation-first approach to AI tools avoids common pitfalls. By combining advanced AI with disciplined quality control, inVibe delivers insight that is both fast and trustworthy. If you’re looking to unlock deeper meaning from complex conversations without compromising on rigor, we’re here to help you listen more closely at scale.