New updates and improvements to BetterFeedback.
Over the past few months, our team has dedicated itself to significantly enhancing our application. We are thrilled to unveil some significant updates to provide deeper insights and more control over your data analysis process.
Introducing the Sentiment Analysis feature, a powerful tool designed to help you gauge the emotions behind your users' feedback.
With this addition, you can now effortlessly analyze and understand your audience's sentiments, providing valuable insights into their feelings and perspectives.
We've refined our Topic Analysis feature in response to our valuable feedback.
Our enhanced algorithm now automatically extracts topics from your data upon connection with your data source or through CSV file uploads.
This streamlined process ensures a more efficient and accurate analysis of your data.
Furthermore, we've introduced the capability to customize your topic analysis.
You can now add or remove topics at your discretion, allowing you to tailor your analysis to focus on the information most relevant to your needs.
These updates are part of our ongoing commitment to improve user experience and functionality.
We're excited for you to explore these new features and look forward to your feedback.
We are thrilled to announce the latest update to our platform, which includes the integration of a state-of-the-art conversational AI chatbot powered by cutting-edge GPT-4 technology and Weaviate vector database.
This exciting new feature will revolutionize how users interact with customer feedback data.
Now, users can effortlessly ask questions about their feedback data and get instant answers, just like a personal assistant.
Currently, in the beta version, the chatbot answers questions based on your customer feedback data, allowing it to provide insightful and accurate responses to user queries.
With natural language processing capabilities, users can quickly ask questions in plain language and receive comprehensive responses in a way new Bing or ChatGPT works.
This integration marks a major milestone for our platform and will help our users better understand their customers' needs and preferences.
So why wait? Try our new chatbot feature today, and let us know your feedback!
We are thrilled to announce the release of a completely new version of our platform, including a revamped user interface and significant changes to how we analyze and visualize customer feedback insights.
The updated interface features a cleaner, more modern design, improved navigation, and enhanced data visualization features.
One significant improvement is introducing topics corresponding to the main pain points and categories extracted from customer feedback. These topics will help users quickly identify and prioritize their business's most pressing issues.
Additionally, we have replaced the manual creation of tags with auto-detected topics. All incoming data is analyzed, and the tool extracts the topics automatically, eliminating the need for manual tag creation - You upload the data and get all the insights.
These changes will significantly enhance our platform's value to users, and we are excited to hear your feedback.
We've integrated Slack as a data source. You are now able to pull the existing messages from private or public channels by either fetching them one time from the specific channels or pushing only the messages you want using the Slack Shortcut menu.
The Intercom data source no longer requires tagging conversations with the "betterfeedback" tag. Instead, all the new messages will be automatically sent to BetterFeedback.
Additionally, we've added support for the conversations' replies. Thanks to that, you are able to analyze whole Intercom conversations, including replies. Previously, we were pulling only the first message from the conversation.
We've integrated the vector database with BetterFeedback to make use of the full power of the semantic search to create more accurate feedback analyses.
We've added support for feedback ratings (a star score from 1 to 5 stars) which usually appear in the reviews.
We've added new filters to the Feedback and Analysis. It's sometimes useful to filter out feedback by sentiment or rankings and analyze specific feedback based on the criteria you need.
We've added a chart with the top tags by percent of notes and source to immediately determine which tags outperform the most.
From various data sources (e.g., CSV file, ProductReview, etc.), it's possible to determine the percentage of reviews based on a specific tag (e.g., good delivery).
We've added weekly email digests with the top 3 trending tags and sentiment analytics to better understand the customer feedback week by week.
You can create analyses based on the filtered feedback. You can filter out feedback for a specific tag or source and create an analysis based on that filtered feedback.
We've added filters to the Feedback. It can sometimes be useful to filter out feedback for a specific tag, or source. You can combine, modify, and search filters.
You can change the color of tags and tag groups to better visualize them in charts.
Integrate BetterFeedback with Intercom and determine what your customers think and feel about your products in seconds.
The app will automatically route any conversation that contains the "betterfeedback" tag to your BetterFeedback account.
The BetterFeedback app in Intercom enables your teams to:
It's super useful when you want to see a visual overview of the most important customers' issues and topics.
We've improved the user interface, so it's more intuitive and user-friendly.