Ever find yourself drowning in a sea of feedback, struggling to navigate through the chaos and organize it for different teams or categorizing feedback based on your product's segments?

Imagine a world where all your customer feedback magically falls into the perfect categories, tailored to your company's context. Well, stop imagining because with Olvy AI, that magic is now a reality!

🚀 Introducing AI Autofills ✨ – a smart, flexible solution to create AI-powered Custom Properties for your

A couple of months back, we launched Generate Summary feature in our Olvy AI Copilot to help you summarize tons of user feedback in just one click so you don't have to go through each of them manually to make sense out of it.

As Olvy's summaries used to give you only the top 5 things your users request, you might miss out on a lot more things if you have thousands of feedback as the top 5 may not cover all the things you need to improve. So, to solve this problem and help you get more pre

Some questions require you to dig deeper into your user feedback - maybe you want to discover the sentiment about a feature in a particular timeframe. Getting to this data was difficult because of limitations in the types of filters we allowed you to add, we're changing that.

We're introducing the modern way of feedback filtration with Olvy's Conditional Filters ✨ that bring endless flexibility in filtering feedback along with customizability, letting you effortlessly navigate through

As businesses scale to enterprise levels, they often find themselves flooded with a huge volume of user feedback, making it really difficult to manage all the feedback, let alone real-time analysis and comprehension. All these enterprise companies need a way to convert that unstructured, mammoth level of qualitative data into well-enriched, meaningful, structured data.

Keeping that in mind, we introduced Olvy AI Copilot a few months back to help you analyze high volumes of feedback in real-time a

Capturing the true essence of user concerns with every issue is hard and with an increase in the number of feedback, we often miss out on crucial details and product teams often miss out on what users actually said

With Olvy, we helped you to attach relevant feedback to the issue but writing the issue description still remains an unsolved problem, you still had to write them on your own.

From today you can skip getting into "writing mode" every time (feel free to also close the ChatGPT tab

Before Olvy most of users maintained an excel sheet for their product feedback, also some of their feedback was in different tools. For them, we've built a Feedback Importer that supports CSV, TSV, and Excel files. In just three simple steps, you can seamlessly import your existing feedback into Olvy and consolidate it all in one place.

Here are the steps on how to use the latest integration.

Uploading Feedback

Once your feedback is already neatly organized in a structured CSV, TSV, or Excel fi

Olvy automatically brought your feedback in, but categorizing each feedback as a feature request, bug report, idea, or question still required you to manually tag it as that.

Not anymore 🤯

We are thrilled to announce the introduction of auto-tagging for feedback 🚀. We have implemented an intelligent system that automatically identifies the type of feedback based on its content. So whether it's a feature request, product idea, bug report, question, or praise, Olvy will now assign the appropri

We are excited to announce a new and improved keywords analysis feature that will help you prioritize feedback more effectively.

Previously, the feedback analysis tool only showed a word cloud of keywords. However, with our latest update, you can now view a list of keywords along with their corresponding sentiment scores, which indicate the percentage of negative, positive, or neutral feedback associated with each keyword.

We've also introduced keywords grouping, which groups together similar

Before we make a release live for everyone, we first share it with our team and beta users for feedback. Previously we did that by sending direct messages to everyone on Slack.

But why do it twice?

Introducing user segmentation in Olvy.

What is user segmentation?

User segmentation is the process of dividing a user base into distinct groups based on common characteristics. This technique helps businesses and product teams better understand their users, tailor their messaging and experiences to differ

We've been working hard on making some big changes to our platform, and we're excited to announce AI powered Changelog generation. This was one pain point we heard from our users where the biggest blocker for them to maintain the changelog was the amount of effort required, that's not true anymore.

Olvy will now help you write your Changelog using ChatGPT, and will do it in all in the same workflow you prefer. To use it, just create a release on your Olvy dashboard and in the editor,