Martin Franc

Martin Franc

Building AI for Customer Conversations
#1010396013 followers1 following
>10,000All time
270 KP

About

I spent years building chatbots. Then I realized nobody could clearly see what they were getting wrong. So I built Inquio and the Bot Report Card - AI that analyzes customer conversations, finds hidden issues, and shows exactly where your bot needs improvement.

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Tastemaker
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Maker History

  • Inquio
    InquioSee what your bot is getting wrong
    Aug 2026
    • 🎉
    Joined Product HuntAugust 5th, 2026

Forums

Inquiop/inquio•

1mo ago

How do you measure chatbot quality?

We ve just published an article about a question we've been thinking about a lot while building Inquio:

Can you really describe chatbot quality with one number?

Traditional chatbot analytics give you plenty of metrics volume, containment, response time, CSAT, and more.

But these metrics don't necessarily tell you whether the conversations were actually good.

Inquiop/inquio•

2mo ago

What's the last thing your chatbot got wrong that no dashboard caught?

We've been building chatbots for years, and the same gap keeps showing up: dashboards tell you how much your bot did, not how well it did.

Conversations handled. Containment rate. CSAT. Response time.

All green. Meanwhile the bot spent last Tuesday confidently quoting a refund policy that changed in March to eleven people, none of whom filled out a survey.

That kind of thing only surfaces when someone happens to read transcripts, which mostly nobody has time to do.

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2mo ago

Inquio - See what your bot is getting wrong

Most chatbot analytics tell you how many conversations happened. Bot Report Card tells you what actually went wrong. Upload your chatbot conversations and get an AI-powered audit that uncovers hidden issues, hallucinations, customer frustration, missed sales opportunities, and risky responses. Every finding is backed by real conversations and includes practical recommendations, so you know exactly what to fix first.
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