Sentiment Intelligence MVP for Data-Rich Dashboards
Case Study: Minipeg
Melt Studio partnered with Minipeg.ai to build a functional MVP centered on sentiment-driven dashboards. Over five weeks, we delivered a data visualization platform capable of extracting, categorizing, and displaying insights from public sources—empowering Minipeg’s team to test real use cases and validate product direction.
THE CHALLENGE
Turning Raw Data Into Actionable Insight
Minipeg.ai needed to validate a concept: can we extract and classify public user opinions into digestible insights? The client envisioned dashboards that display categorized topics, sentiment, and summaries—pulled from various sources and prepped for business decisions. They needed a flexible, fast MVP to test this idea.
INITIAL STATE
OUR SOLUTION
Fast MVP Delivery for Sentiment Visualization
Requirements
Simplification
We defined the MVP scope using story mapping and user flows. Focus areas included topic filtering, sentiment tagging, source segmentation, and summarization—all without overcomplicating the backend stack.
Application
Building
Using Vue.js on the frontend and a modern backend stack, our team built dashboards capable of filtering data by source and time, with visuals like graphs and summaries. Slack and Linear supported agile sprint delivery.
Prototype
Release
In just over one month, Minipeg had a working MVP that could query real-time data sources and display topic summaries. Advanced features like chatbot integration were scoped for future releases.
DELIVER STATE
CUSTOMER FEEDBACK
Insight-Ready MVP Delivered With Speed
The Minipeg.ai team received a working product on time, with core dashboard functions validated and room to scale into NLP and chatbot integrations. Feedback confirmed the platform’s readiness for real-world use cases.
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We have delivered products for startups from Anchorage to New York.
Alex Vans
Choros
October 29, 2025
I was crawling; I’m walking now. I finally have the peace of mind to stop worrying about crashes and start listening to my users.
October 29, 2025
Avani Kanubaddi
Brandtuit
December 30, 2025
Thanks, everyone, for the hard work that went into this first beta client. We have now officially released our first Zena report to a client. We will meet with him on Monday to review his candid feedback on what is working well and what needs improvement.
This was a significant step, so we should take a moment to commemorate and celebrate it. We will have two more beta tests in the new year, so the work continues. As we turn the calendar, I wanted to take a moment to appreciate this team. I wish everyone a fantastic start to 2026, and I hope we can continue to build on this promising start.
December 30, 2025
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