Gaming
Player insights, live ops intelligence, studio knowledge
Gaming studios generate enormous volumes of player data, community feedback, and operational context — but it lives in silos. Loam connects your analytics, community channels, design docs, and post-mortems into a compounding intelligence layer that makes every decision better informed.
How gaming studios use Loam
Every patch, every season, every community interaction compounds into deeper understanding of your game and your players.
Player Intelligence
Unify behavioural telemetry, support tickets, forum posts, and cohort analysis into a single queryable context. Ask "Why are day-7 retention rates dropping for players who start in the tutorial rework?" and get an answer that connects gameplay data with community sentiment and QA reports.
Live Ops Context
Every event, season pass, balance patch, and economy change generates ripple effects. Loam tracks what happened, what players said, what the metrics showed, and what the team decided afterwards — so your next live ops call is informed by the full history of what worked.
Studio Knowledge
Design decisions, post-mortems, cancelled features, engine migration notes — the institutional memory that takes years to accumulate. Loam makes it searchable, connected, and available to every team member, not just the veterans who were there.
Community Signals
Discord threads, Reddit posts, Steam reviews, and support tickets are a firehose of signal. Loam distils community sentiment into actionable context: which issues are escalating, what features players actually want, and how sentiment is trending after each update.
Institutional memory for studios that ship fast
Game development moves in sprints, seasons, and crunch cycles. Context gets lost between milestones, team rotations, and studio reorganisations. Loam captures the decisions, outcomes, and learnings that would otherwise vanish.
Ask “What happened last time we adjusted the energy economy curve?” and get the design rationale, the player response, the revenue impact, and the follow-up changes — all from one query.
"What balance changes have we reverted in the past year, and what was the player response each time?"
Loam surfaces
7 balance changes reverted across 3 patches. Common pattern: weapon nerfs with >15% DPS reduction triggered immediate community backlash (avg. 2.4k negative posts within 48hrs). Incremental adjustments (<8% per patch) received 60% less negative sentiment. Design team post-mortem from S3 recommended “graduated rebalancing” — only partially adopted in S4.
The compounding advantage
Every season makes your studio smarter. Every player interaction deepens your understanding. The longer you use Loam, the sharper your decisions become.
60%
faster post-mortem insights
Teams stop re-learning old lessons. Loam surfaces relevant history from previous seasons, launches, and incidents before decisions are made.
2x
more context per live ops decision
Every event, sale, and balance change is evaluated against the full history of what worked, what didn't, and what players actually said.
5hrs
saved per sprint cycle
New team members, cross-discipline handoffs, and executive updates all draw from the same compounding context — no more hunting through Confluence.
Your players are telling you what they want. Loam helps you hear it.
Start compounding player intelligence and studio knowledge today.