We’re thrilled to share that our AI Recommendations feature has now generated over 500 valuable product recommendations, all derived from customer feedback and reviews. Below, we present some real-life examples showcasing what our customers encounter. Each recommendation not only identifies the issue but also suggests fixes, explains the importance of addressing it, and highlights the underlying themes prompting the suggestion.
(Note: AI Recommendations are available on our Silver Plan and above. Remember our Bronze plan is FREE)
Product Enhancements
Upon examining our customers’ app with this context they could easily see the excessive brightness and minimal contrast, and how that is hindering user experience.
Opportunities for Technical Improvement
both of the above insights were gleaned from our live demo (not an actual customer), where invaluable feedback not captured by application logs surfaces. Such feedback is vital for Product Managers and teams, providing a rich source of actionable issues.
For instance, a customer with a streaming app, our analysis identified the playback stability issues and the Customer added alerts for terms like ‘crash’ and ‘buffer,’ enabling proactive response to customer-reported issues.
There are even Business Opportunities
Customers’ reviews serve as a conduit for expressing their pain points, enabling businesses to address and resolve them effectively. Recognizing and acting upon these insights not only improves product quality but also fosters stronger customer relationships.
In essence, understanding and acting upon customer feedback is pivotal for continual product enhancement and business growth.
Review Analytics 