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.
Trusted by Startups Across the U.S.
We have delivered products for startups from Anchorage to New York.
Mateo Alexander
Suyo
Most of my favorite service experiences occur when the company foresees my needs and questions before I ask. For example, digital trackers that inform me on the progress of my service (eg Dominos, Amazon, etc). Other service experiences I especially enjoy occur when a company integrates its solution with another solution I already use to create synergies or efficiencies (eg Uber + Expensify), and when a company provides painless returns/discounts when I'm not satisfied with the product's qualities (eg REI).
October 9, 2020
Emily O'Grady
Happyly
Erika and her team have literally brought what is in my head to life - it has been incredible to work together - plus she is SO patient and such a hard worker.
January 7, 2021
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