Why Every Product Manager Needs a Feedback Analysis Tool

Why Every Product Manager Needs a Feedback Analysis Tool

Have you ever been in a situation when you are going through hundreds of user feedback at once which are all cramped inside a clumsy Excel sheet? That’s an inevitable nightmare for every product person who wants to build a product led company.

This is exactly where a feedback analysis tools comes to play however many don’t even know these exist.

Understanding Feedback Analysis

Before we go ahead and start talking about feedback analysis tools, it’s important to understand feedback analysis first. In simple words, feedback analysis is the process of analyzing user feedback and converting it into something meaningful and insightful.

This is like being a detective with a magnifying glass, looking closely at clues (aka feedback) from various sources — surveys, online reviews, social media, and more. It helps you spot patterns, understand user behavior, and understand overall product sentiment.

Here’s how feedback analysis helps:

  • Enhance Product Development: Tailor your product to meet (and exceed) customer expectations.
  • Boost Customer Satisfaction: Happy customers = loyal customers, and the statements speaks for itself.
  • Stay Ahead of the Competition: Your customers are always trying to speak, and feedback analysis is the communication bridge.
  • Making Data-Driven Decisions: Taking product decisions are much easier if you can use data to drive it. Skimming through feedback helps you understand needs and issues which need to be prioritized.

Feedback Analysis Tool - what and why

We already know the basics of what is a feedback analysis tool, but what we don’t in the in-depth idea of its capacities and the pain point it solves. Let’s go through then one by one.

Reduces Turnaround time

Collecting, separating, and analyzing user feedback manually takes a lot of time. This is why most organizations only stick to surveys and support tickets as a source of feedback and ignore platforms like social media and review sites where meaningful user inputs can be found.


By leveraging a feedback analysis tool, product teams can significantly reduce the turnaround time to collect and analyze feedback. These tools directly integrate with your feedback sources like your social media, Slack community, Intercom and various other platforms from where user inputs are collected with minimal user intervention. This makes the time to collect user feedback near zero.

Better and Insightful Analysis

The bigger problem that a feedback analysis tool like Olvy solves is its ability to generate accurate analysis which can be used in various places.


For example; in just 1 click you can get a complete summary of all user feedback with neat segregation of exactly what they are based on various categories.

Integration for Feedback Flow

The purpose of feedback analysis is to find meaning patterns. These patterns can be feedback requests or bug reports that affect a large user base. Hence, it’s important that the outcome of a feedback analysis should be passed to respective teams.


Feedback analysis tools like Olvy integrate with tools like Jira and Linear, from where this data can be passed and further processed.

Feedback Loop Closure

Last but not the least, closing the feedback loop is yet another important feature of any feedback analysis tools.


Once you have shipped the requested feature or have fixed the reported bug, it’s important to notify the user(s) about the same. Tracking back all the feedback related to each fix or launch can be hard, tools like Olvy make it easier by showing all the feedback as a group which can be replied to all at once.

Features to Look For in a Feedback Analysis Tool

Not all tools are created equal, so here's what to look for:

  • Integration capabilities
  • Accurate analysis
  • Ability to respond to user feedback
  • Multi-user dashboard

Olvy - best feedback analysis & management tool

Olvy is built to help product teams manage the complete feedback loop; here's everything you can do:

Collect user feedback: Need a feedback widget? Or do you need a tool to listen to user feedback on your Slack/Discord community? No matter where the feedback is, Olvy is there to collect it.

Reply to user feedback: Are your users finding out their issue was fixed through your tweets or newsletters? Why not reply to them right where the feedback came from, like directly on Slack? It's impossible to do it manually, but what if you can do it directly in one single dashboard? That's exactly what Olvy can help you with.

Keep your dev team in the loop: It's essential to pass on the complete context of user feedback, including feature requests or bugs, to your development team. Olvy lets you pass the complete context of what the users said and also creates issues directly into your issue tracker. Isn't it cool?

Analyze user feedback with AI: Analyzing hundreds, if not thousands, of user feedback at once can be hard. Olvy ingests all your user feedback, runs it through AI and lets you know what users are talking about in simple, easy-to-read pointers.

Announce changes: Fixed a bug or shipped a new feature? It's time to notify users; Olvy lets you notify the user directly at the source and publish your changelog that everyone can read.


Feedback analysis is a crucial aspect of product development and customer satisfaction. By understanding and analyzing user feedback, businesses can tailor their products to meet customer expectations, enhance satisfaction, and stay ahead of the competition. Feedback analysis tools like Olvy play a vital role in streamlining this process, reducing turnaround time, providing insightful analysis, integrating with other tools for seamless workflow, and facilitating feedback loop closure.

When choosing a feedback analysis tool, it's essential to look for features such as integration capabilities, accurate analysis, the ability to reply and notify about urgent feedback, and a multi-user dashboard. Olvy stands out as one of the best feedback analysis and management tools, offering features like collecting user feedback from various sources, replying to feedback directly, keeping development teams informed, analyzing feedback with AI, and announcing changes to users.

In conclusion, investing in a feedback analysis tool like Olvy can significantly benefit businesses by helping them make data-driven decisions, improve product quality, and enhance customer satisfaction, ultimately leading to business growth and success.

About the author
Arnob Mukherjee

Arnob Mukherjee

Building Olvy

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