Helvia.ai Release 5.67.0
04 December 2024
Last updated
04 December 2024
Last updated
With this release we're introducing a new feature that allows you to create a personalized user interface for collecting Customer Satisfaction (CSAT) ratings from webchat users. Tailor the look and feel of feedback prompts to align with your brand and capture more insightful feedback from your customers, boosting engagement and improving service quality.
To create a CSAT survey, go to the bot's flow editor and add the 'CSAT' node.
Click the 'Edit' button of the CSAT node and fill out the required information:
Question: type the question you would like the bot to ask the user
Rating Type Scale: select the rating type, i.e. Numbers from 1 to 5, star rating or emotions
Rating section: You can add up to 3 separate rating sections to present the information to the user
The Customer Satisfaction (CSAT) survey will appear as a pop-up message over the chatbot interface for the webchat user.
You will be able to access detailed analytics related to Customer Satisfaction in the newly designated CSAT section within the Analytics platform.
If multiple CSAT surveys are submitted by a user in one session, only the most recent submission will be saved.
Admins can now customize and set the width of webchat deployments directly from the deployment setting. The width settings range from 350px to 500px, with a default width of 376px, allowing you to create a unique chat experience that aligns perfectly with your brand's look and feel.
To better safeguard chatbot deployments, we have moved the option to delete a deployment in the newly introduced "Danger Zone" within the deployment settings. This change will prevent accidental deletions by requiring bot admins to type 'DELETE' before removing a deployment, ensuring intentional actions. The streamlined process eliminates the bulk delete option and the delete icon from the deployment table, adding an extra layer of security to keep your chatbot running smoothly and avoid disruptions.
The Knowledge Bases have been updated to support uploading HTML files, in addition to PowerPoint, Markdown, CSV, DOC, TXT and PDF documents. This new feature converts HTML files directly into accessible articles, enhancing your content management and saving you time.
We've revamped the date picker component in our console, to provide additional selection criteria and improving UX for console editors.
We have enhanced the NLP testing in the console to assist editors to efficiently manage NLP tests with an intuitive interface. Editors can now easily edit, run, and review test results with improved UI elements, offering clear visibility of test cases and actionable insights.
The revamped Run Test side modal simplifies results navigation with dropdowns for easy access to historical data and classification report. The feature also offers analytical insights by focusing on discrepancies with a streamlined display in the model performance analysis and confusion matrix. Editors can download detailed results with a single click to CSV.
The 'Carousel' node has been updated ensuring uniform carousel card heights. Regardless of the content, all cards now maintain the same height, enhancing user experience and keeping your communications looking neat and organized.
To streamline your chatbot configurations, we now prevent duplicate keyword entries across different Automated Answer (AA) instances. If you attempt to reuse a keyword already assigned to another AA, an error message will notify you, ensuring keywords remain unique to each Automated Answer. This enhancement eliminates confusion and enhances the precision of chatbot responses, leading to more efficient and organized content management.
Improved user experience in our Priority Keywords feature makes managing automated responses simpler and more intuitive. A consistently visible dropdown for selecting automated answers ensures effortless navigation and keyword management, while the new sticky "Add Keyword" option streamlines the addition of new terms, enhancing efficiency in customizing your chatbot's responses.
When previewing a specific missed question, the bot author can now view the number of times it occurred during the selected period, as well as the total number of occurrences since the bot's inception.
Please note that with this update, missed questions from before November 20, 2024, will no longer be accessible in the bot's Missed Questions view. If you require data on missed questions from before this date, please contact us directly.
File Upload fix on Slack deployments: the file upload node has been updated to function seamlessly on Slack deployments.
Improved 'Disable Send Box' action: We've enhanced the stability of the "disable send box" feature to ensure when users are redirected to a specific flow from a button, the send box remains disabled consistently, even when users type their responses instead of clicking options.
