PHSDAI TRANSFORMATION
OUR WORK
OUR WORK / VOID INTERACTIVE / PRODUCT INTELLIGENCEGames

Finding the signal in the conversation.

Using AI-assisted classification to find product issues and trends in gaming community conversations and feedback channels.

01 FIND02 CONNECT03 BUILD04 PROVE
[ CS -5 ]
Sentiment and social listening dashboard for player feedback
[ FIG. 01 ] VOID INTERACTIVE

The challenge

A highly engaged gaming community produces enormous amounts of feedback. Some of it is repeated, some reflects isolated incidents and some points to issues a development team needs to prioritise.

Our approach

We developed feedback-intelligence capabilities to collect and organise information from relevant community channels, helping teams identify recurring topics and emerging signals.

Why engineering matters

The challenge isn’t simply labelling comments as positive or negative. The system needs to recognise related issues, preserve evidence, handle noisy language and present findings in a form that fits product work.

What this illustrates

A well-designed intelligence layer can help product teams use the voices they already hear more systematically.

Overview and insights with comments broken down by platform
[ FIG. 02 ]
Backlog analysis with AI-tagged and prioritised player feedback
[ FIG. 03 ]
Comparison of feedback volume and tone across platforms
[ FIG. 04 ]
Development milestones plotted against player sentiment over time
[ FIG. 05 ]
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