Exploring the patterns, systems, and decision-making logic that power modern mobile games. We share practical breakdowns and real testing results from Barcelona's game development scene.
We spent six weeks testing different progression models in casual puzzle games. The sweet spot isn't what most developers assume. Linear scaling creates early dropoff, but exponential curves frustrate players around level 40.
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Player perception matters more than raw numbers. Our matchmaking tests revealed that perfectly balanced matches sometimes created worse experiences than slightly uneven ones. Psychology beats pure math here.
Continue reading →How our approach to game systems has changed since we started working with Barcelona studios in 2019.
We began consulting with three small studios, focusing on basic difficulty curves and reward timing. Most mobile games were still using straightforward linear systems that worked fine for shorter play sessions.
As multiplayer games grew, we shifted toward matchmaking and competitive balance. This meant dealing with player skill ratings, session length optimization, and preventing early-game frustration while maintaining long-term challenge.
Started experimenting with algorithms that respond to individual player behavior. Not machine learning in the strict sense, but conditional logic that adjusts challenge based on performance patterns and engagement signals.
Now working on retention mechanics that don't feel manipulative, economy balancing for free-to-play models, and creating challenge systems that adapt without becoming predictable. The goal is player satisfaction over pure engagement metrics.
I joined Optimaton Prime in 2020 after working on player progression systems for a mid-sized studio in Zagreb. What drew me to this work was the gap between what developers think players want and what actually keeps them engaged.
Most of my time goes into testing variations of difficulty curves and reward schedules. We run controlled experiments with small player groups, then analyze retention and satisfaction data. The trick is finding patterns that hold across different game genres.
Game algorithm design isn't about making things harder or easier. It's about creating rhythm and pacing that feels natural. When we get it right, players don't notice the systems at all. They're just enjoying the experience.
These are the algorithm challenges we're actively working on with development teams across Spain. Each one represents months of testing and iteration.
Finding sustainable resource generation rates that support free players while maintaining appeal for paying customers. We're testing models that avoid pay-to-win dynamics without sacrificing revenue potential.
Creating systems that respond to individual skill levels without feeling artificial. The challenge is maintaining consistency while allowing meaningful difficulty adjustments based on player performance patterns.
Exploring daily reward structures and comeback mechanics that encourage regular play without creating obligation or guilt. Early results suggest timing matters more than reward size for most player segments.