How GN turned app reviews into actionable insights

See how GN brought together global app feedback, uncovered hidden issues, and turned scattered data into clear insights that guide product improvements.

analyze customer feedback with ai deepdots and gn case study

Who is GN?

GN is a global industry leader headquartered in Denmark with a mission to bring people closer through intelligent hearing, audio, video, and gaming solutions. Our collaboration is with GN’s Hearing division: the division dedicated to delivering technology that helps people with hearing loss overcome real-life challenges. At the heart of this work is GN’s strong focus on customer centricity: they listen closely to users, understand their needs, and design solutions that genuinely improve their everyday lives.

The challenge

GN Hearing Division gets user feedback across 10 apps in two global app stores, spanning 154 countries and 46 languages. Feedback was scattered and unstructured, making it time-consuming to translate, analyze, and act on. This meant issues were often identified too late, with valuable insights at risk of being lost. GN needed a platform consolidating the feedback in one overview enabling them to monitor and flag bugs and issues as input to product developments and ongoing improvements.

The solution

Deepdots introduced automated analysis of app store reviews, enabling GN to detect bugs before they escalated and to monitor customer sentiment during hyper-care phases. Monthly reports were created and shared across the organization, ensuring teams had full visibility into customer insights. By transforming a manual process into an automated workflow, GN could stay ahead of potential issues and prioritize product development efforts more effectively.

“Deepdots has helped us analyzing all the user feedback and made it easier to prioritize our efforts in terms of product development and post-launch activities”

– Clemens Byager, Senior Product Manager

The results

Customer feedback insights are now automatically collected, analyzed, and shared across GN’s Hearing division. The company can monitor and track bugs after each app store release, confirming whether updates have resolved existing issues or introduced new ones. In total, feedback from 10 apps across Google Play and the Apple App Store is monitored in real time. Since implementation, Deepdots has automatically identified and proactively flagged 46 bugs, making all of the customer feedback actionable through full automation.

“Everyone knows the issues baseline, the real value comes from understanding when there is a spike.”

– Clemens Byager, Senior Product Manager

Unified

All app reviews stored in one place

100%

Translated, analyzed and categorized by AI

Actionable

Insight reports ready to act on

How GN turned app reviews into actionable insights

See how GN brought together global app feedback, uncovered hidden issues, and turned scattered data into clear insights that guide product improvements.

analyze customer feedback with ai deepdots and gn case study

Who is GN?

GN is a global industry leader headquartered in Denmark with a mission to bring people closer through intelligent hearing, audio, video, and gaming solutions. Our collaboration is with GN’s Hearing division: the division dedicated to delivering technology that helps people with hearing loss overcome real-life challenges. At the heart of this work is GN’s strong focus on customer centricity: they listen closely to users, understand their needs, and design solutions that genuinely improve their everyday lives.

The challenge

GN Hearing Division gets user feedback across 10 apps in two global app stores, spanning 154 countries and 46 languages. Feedback was scattered and unstructured, making it time-consuming to translate, analyze, and act on. This meant issues were often identified too late, with valuable insights at risk of being lost. GN needed a platform consolidating the feedback in one overview enabling them to monitor and flag bugs and issues as input to product developments and ongoing improvements.

The solution

Deepdots introduced automated analysis of app store reviews, enabling GN to detect bugs before they escalated and to monitor customer sentiment during hyper-care phases. Monthly reports were created and shared across the organization, ensuring teams had full visibility into customer insights. By transforming a manual process into an automated workflow, GN could stay ahead of potential issues and prioritize product development efforts more effectively.

“Deepdots has helped us analyzing all the user feedback and made it easier to prioritize our efforts in terms of product development and post-launch activities”

– Clemens Byager, Senior Product Manager

The results

Customer feedback insights are now automatically collected, analyzed, and shared across GN’s Hearing division. The company can monitor and track bugs after each app store release, confirming whether updates have resolved existing issues or introduced new ones. In total, feedback from 10 apps across Google Play and the Apple App Store is monitored in real time. Since implementation, Deepdots has automatically identified and proactively flagged 46 bugs, making all of the customer feedback actionable through full automation.

“Everyone knows the issues baseline, the real value comes from understanding when there is a spike.”

– Clemens Byager, Senior Product Manager

Unified

All app reviews stored in one place

100%

Translated, analyzed and categorized by AI

Actionable

Insight reports ready to act on