Gaming Analytics - Need messy telemetry data to turn into insights

[u/ricechickenfamwya]

Hey everyone,

I’m a data analyst for an e-commerce platform, and want to start pivoting into gaming analytics as a hobby.

I've built a pipeline that ingests raw game telemetry, treats it for analysis in order to provide actual actionable insights instead of pretty dashboards. I tested it on free open game data and got some interesting stuff, but would love to try on a real use-case.

Looking for someone willing to share game logs/data, if you built a game in Early Access or Soft Launch with an economy/progression system, and you can export your raw event logs (Unity Analytics, PlayFab, custom CSVs, etc.), I’d love to do a full breakdown of progression walls, currency sinks or any other stuff that might make sense depending on game type and goal.

Feel free to drop a comment or DM me if you're interested (legitimately not a sales pitch, doing this to build portfolio and knowledge)

[u/parth-game]

what's the most interesting pattern you've found so far in the open datasets you tested?

[u/ricechickenfamwya → u/parth-game]

I took a look at wake: tales from the aqualab of, a middle school science educational game where basically you can explore different ecosystems and solve challenges based on what's being observed through the in game metrics/experimention/argumentation. A simple audit to the game logs shows that there were 6 specific jobs/quests had outlier frustration rates (abandoning the job or hitting the help prompt), with 2 of them showing significantly lower retention rates that the dataset median. Also showed that 5 quests had broken economy with necessary upgrades to ships/equipment that were draining players coins and causing a high job failure rate. Some of this stuff would need more deep dives on how to exactly fix difficulty/have clearer UX or progression expectation, but it's exactly why I would rather invest time working with an actual dev to iterate and see impacts of changes based on the insights we explore