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Written by

Ashwin Singhania

Published on

December 24, 2024

A light grey twirl with the Unwrap logo in the middle.

Your customers are talking—here’s how to use Unwrap’s machine learning to really listen

Customer feedback can feel like a never-ending deluge. Emails, surveys, app reviews, social media comments, customer service calls—it all piles up faster than you can say “analysis paralysis.” 

And yet, within that tidal wave of feedback lies pure gold: the insights you need to build a better product, improve customer satisfaction, and edge out the competition. The problem? Mining that gold is no easy feat.

That’s where Unwrap comes in. Using cutting-edge machine learning and natural language processing, our platform transforms mountains of raw customer feedback into actionable insights. Think of it as your secret weapon for understanding what your customers really want—without breaking a sweat.

In this post, we’ll explain at a high-level how it all works, why it matters, and what sets Unwrap apart. TL;DR? It’s all about making your life easier while delivering incredible value.

Looking for a more technical explanation? We’d love to chat.

Breaking down the tech: machine learning and NLP, simplified

Before diving into the magic behind Unwrap, let’s break down two key concepts: machine learning and natural language processing

Machine learning (ML) 

Machine learning is a type of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed. 

At its core, ML relies on algorithms that identify patterns within data, enabling predictions and decisions based on those patterns. For instance, in the context of customer feedback, ML can recognize recurring themes like "late delivery" or "excellent support" across vast amounts of data. 

Natural language processing (NLP)

NLP  is a subset of machine learning and it focuses on the interaction between computers and human language. This kind of tech helps machines process and analyze large amounts of natural language data, such as customer feedback, to extract meaningful insights. Think of it as the bridge between what customers say and what businesses need to know. 

Techniques like tokenization (breaking text into words or phrases), sentiment analysis (determining positive, neutral, or negative tones), and topic modeling (grouping similar content) are essential components of NLP.

NLP forms the backbone of Unwrap, making it possible to process massive amounts of feedback quickly and accurately.

Automating the feedback avalanche

We know how overwhelming customer feedback can be. That’s why Unwrap does the heavy lifting for you. Here’s how it works:

  • Centralize your feedback: First, connect all your feedback sources through our simple integrations page. Whether it’s a one-time sync or continuous data flow, we’ve got you covered.
  • Analyze at scale: Once your data is connected, Unwrap’s algorithms sift through every piece of feedback, identifying key themes, trends, and anomalies. We surface what matters most so you don’t have to waste time sorting through noise.
  • Act on insights: Our platform doesn’t just tell you what’s happening; it shows you why it matters. From uncovering recurring issues to spotting opportunities for growth, Unwrap ensures you’re always one step ahead.

Going deeper: Search for the insights that matter most 

So, you’ve centralized your feedback and surfaced actionable patterns. What’s next? Dive deeper with our powerful search capabilities.

Need to investigate a specific issue? Just type in your query—like “shipping delays” or “payment errors”—and our platform instantly retrieves all relevant feedback. Better yet, it quantifies trends over time, giving you a clear picture of what’s gaining traction or fading away.

This feature is a game-changer for uncovering those hard-to-find insights that can lead to breakthroughs. It’s like having a flashlight in the dark corners of your feedback.

Sentiment analysis: The emotional pulse of your customers

Numbers are great, but emotions can help tell the story too. That’s why Unwrap includes sentiment analysis. Our AI categorizes feedback as positive, negative, or neutral, helping you quickly gauge how customers feel about specific topics or features.

For example:

  • Positive feedback: Celebrate your wins and double down on what’s working.
  • Negative feedback: Identify areas for improvement and address issues before they escalate.
  • Neutral feedback: Uncover untapped opportunities by diving into these overlooked comments.

With sentiment analysis, you get a comprehensive view of customer sentiment over time, enabling data-driven decisions that improve user experience and satisfaction.

What sets Unwrap apart

Plenty of tools promise to help you manage customer feedback, but Unwrap takes it to the next level.

  • Speed and scalability: Our platform processes massive volumes of data in real-time, delivering insights faster than you can say, “what is our customer’s top complaint this month?”
  • Precision and accuracy: Thanks to advanced NLP, we go beyond surface-level patterns to uncover nuanced insights. Plus, how we group feedback anecdotes is incredibly accurate, meaning you can work worry free knowing nothing’s been left out.
  • Ease of use: No technical expertise required. If you can type a search query, you can use Unwrap.
  • Actionable results: We don’t just highlight problems; we empower you to solve them. You can connect feedback patterns to your project management tools like Jira and Asana through Linked Actions.

Customer feedback drives real business impact

At the end of the day, customer feedback is only as valuable as what you do with it. Unwrap turns feedback into fuel for innovation, helping you prioritize the right actions and make meaningful progress.

By centralizing, analyzing, and surfacing actionable insights, our platform frees you from the grind of manual analysis and lets you focus on what really matters: building a product your customers love.

So why wait? Join the companies that are already using their customer feedback to build the best products on the market. After all, what’s the point of collecting feedback if you’re not using it to drive results? It’s time to unwrap the potential of your data.

Start your journey today.