Kollect Voice Agent
AI that feels human
126 followers
AI that feels human
126 followers
Kollect turns boring forms into real-time AI conversations. Users speak naturally, AI listens and dynamically guides the survey. You can even create forms by simply describing them.
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@admildo_manuel What makes your voice agent sound more human than typical TTS/Ai voice agents? What open‑source frameworks did you build on?
@curiouskitty Awesome question.
Yes, importing existing questions from tools like Typeform, Tally, Jotform, and Google Forms will soon be supported. That’s an important switching wedge because teams shouldn’t have to rebuild everything from scratch just to experiment with a new approach.
The clearest path to adoption is simple: A/B test it. Run the existing form flow alongside Kollect and compare completion rates, engagement, and depth of insight. Let the results speak for themselves. I think a voice solution would do pretty well when the scope of questions is long and deep. Users can even ask the agent to explain a question and how to answer it correctly in real-time.
Kollect might also support non-voice interactions in the future, but with AI dynamically steering the experience in real time. That means the interaction isn’t just a static sequence of questions. It adapts based on user responses.
The real differentiator is the richness of insights. Instead of just structured form responses, you get interview-style transcripts. From those, teams can extract deeper signals, such as:
Where users struggled or hesitated
Themes emerging across multiple submissions
Hidden objections or unexpected feedback
Patterns across the collective body of responses
That combination of migration support, low-risk testing, and significantly richer insights is what should give teams confidence to replace an existing form flow.
There are many powerful use cases here. I’ll probably write a full blog post about it soon.
Hey there!!
Congrats on your launch :)
We just shipped something yesterday, it's an embeddable voice/video messaging widget that lets site visitors leave natural voice notes/messages right on your page and I gotta say that it feels super complementary to Kollect!!
Quick questions since I'm deep in voice AI integrations and real-time interactions these days ahahah :
How does the AI handle dynamic guidance in real-time? Like, does it branch logic based on answers (e.g., skip/follow-up questions), detect sentiment/hesitation, or clarify ambiguities on the fly? Any favorite examples of how it reduces abandonment vs. traditional forms?
Does it pull from natural language to auto-create questions, logic, validations? How accurate has it been for complex/multi-step surveys, and do users get to iterate visually after generation?
Is it handling accents/multiple languages out the gate? Any cool privacy features (e.g., on-device processing options, no audio storage) since voice data is sensitive?
I'd love to chat about your product and ours so we can help each other out!
Let me know if you're open to it :)
@cathcorm Great questions. 1) Yes, it has all of that. It reduces abandonment because it feels more natural, it's essentially real-time, like talking to a person. 2 It can do both. The surveyed users can't interact with the submitted answers yet. 3 Multi-language support is coming soon. No audio is stored. We can chat a bit more. You can DM me on X or LinkedIn
@admildo_manuel Thanks Admildo!
DMing you on LinkedIn right now to keep the convo going 😊
@admildo_manuel That's cool, congratulations on the launch. I just want to ask you if there is something to analyze the answers or not.
@diegodau Thank you. Working on it
Would love to see it with PersonaPlex beneath it
Congratulations on the launch! Can you set the survey goal? So the AI investigates something specific?
Forms are genuinely broken for anything more than 5 fields - completion rates drop hard and most people just abandon. The conversational angle makes sense for that.
The dynamic guidance piece is what I want to dig into. Traditional conditional logic forms become a nightmare to maintain once you have 3+ branches. Is that handled through an LLM deciding the next question based on context, or do you define the flow explicitly?