Product Workspace
A product operations workspace for the GS SEA publishing team.
Each game has its own workspace. There the LiveOps team assigns tasks, plans events, generates event content with AI, values in-game items, listens to the community and tracks growth, all behind a single sign-in. Three permission levels, in Vietnamese and English.
10 tabs, every one in the context of your game.
Pick a game once and every tab follows its context. Share a link and colleagues land in the right place.
To Do List
A Kanban board for each game's tasks.
Event Studio
AI reads source documents, suggests angles, drafts a plan and writes the posts. Results stream in, can be regenerated, and are logged.
Event Plan
Event planning sheets the whole team edits, updated in real time.
Item Value Tracker
Value gifts and rewards in the game. Import and export spreadsheets.
Patch Note Translator
Translate patch notes with AI, following each game's shared glossary.
Social Listening
Community sentiment across social networks, forums, chat channels and app store reviews.
Competitor Social Listening
The same view, applied to games in the same genre.
Market Data
Downloads, active users, retention and demographics in the market.
Measurement
Measurement dashboards and Q&A on the numbers with AI.
Performance board
Spend, creatives and KPIs by cohort, ROAS, budget and target.
What the community said yesterday.
- Collect from 15 sourcesSocial networks, video, forums, community chats and app store reviews.
- Score sentimentA language model labels each comment positive, neutral or negative.
- Write a recapA daily recap, configured separately for weekdays and weekends for each game.
- Store in the feedback storeA dedicated store for community data, separate from operational data.
- Show in Social ListeningLiveOps opens the tab and it is there, no manual gathering.
Layered performance data
At the same time, spend, creative and measurement data sync through three layers: raw, cleaned and report-ready, then feed the Performance board.
19 analysis skills
Playbooks that let AI run standard analyses: cohort, CLV, attribution, A/B test plans, KPI dashboards, conversion funnels, sentiment analysis.
Checked before release
Automated browser tests, a guard against pushing secrets by mistake, and safety checks on every data query.
Technology
Interface
- SPA TypeScript
- Interactive charts
- Drag and drop
- Motion effects
Server
- Node.js
- Modular API
- Scheduled jobs
Data
- Operational database
- Dedicated feedback store
- Row-level permissions
- Layered data warehouse
AI
- Language models
- Sentiment classification
- Automatic summaries
Integrations
- Market data
- Measurement
- Ad channels
- Community sources
Operations
- Cloud containers
- Morning sync
- Browser testing