Syncly collects customer feedback and uses AI to analyze and identify important customer issues. In this update, we have added a model that automatically categorizes feedback data into 5 different categories. This feature allows for a quicker understanding of the types of issues customers are experiencing based on their feedback.

🎉 New Release 🎉

Automatic categorization of feedback into 5 categories

We have added a model that automatically categorizes feedback into 5 categories: Feature request, Bug, Churn, Pricing & Payment, and How To. Each feedback will be assigned to a category as it is automatically pulled from different platforms.

Categories :

• Feature request : Suggestions or requests for a new feature or a service.

• Bug : An unexpected issue regarding a product/service/feature.

• Churn : Inquiries to suspend, cancel, or downsize current subscription.

• Pricing & Payment : Suggestions or inquiries about pricing. Also including questions about billing and payment.

• How to : Questions or help requests regarding a service or a specific feature.

• Others : All other questions and inquiries.

Use Cases

1. Track trend of each category weekly

   
   

   

   
   

   On the Insight list page, you can see the weekly trend of the categories with the most feedback count. You can quickly view the trend graph to see if there are any abnormalities for the current week.

   
   

2. Real time visibility on customer feedback at a glance

   
   

   

   
   

   On the Insight detail page, you can view the weekly summary of feedback for each category. This allows to quickly identify the issues that require attention for each category.

   
   

3. Basic level of data segmentation

   
   

   

   
   

   You can filter the feedback by categories and by specific customer groups. For example, you can filter the feedback to only show ‘feature requests’ from a specific account by using a filters of the Category and Account.

   *Integrate your CRM to analyze by different cohort.