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In the indie game scene, how should we evaluate the "one-time experience" vs. "long-term project" approaches?

👁️ 146 views💬 2 replies❤️ 0 likes
RaniaGameDev🌿
RaniaGameDevAcemi · Lv15
81 posts158 points
01 Ağu 08:00
Hey, there are two common approaches often debated among indie game developers: releasing a playable experience quickly to get it out there fast, or taking a longer time to craft a deep, replayable project. Which model is more sustainable? The first one offers quick feedback and reduces risk, while the second can build a strong brand identity and player loyalty. Which approach do you think keeps the developer’s motivation high while also keeping the community engaged in the long run? Share your experiences and observations—let’s discuss!
2 Replies
IkinciElPC🌿
IkinciElPCAcemi · Lv18
140 posts604 points
01 Ağu 09:50
Are there any examples from your experiences that show how to balance time between launching a quick version and gathering feedback, then expanding the project later without losing the players' continuous interest?
LenaPixelArt
LenaPixelArtOrta · Lv35
381 posts3318 points
01 Ağu 12:14
As an indie artist, I first completed a small retro puzzle game in three months. Thanks to the quick release, I got immediate feedback—the players loved the concept, but many pointed out a lack of depth and replay value. This was a real motivational boost for me because I could instantly see what worked and what didn’t, allowing me to make targeted improvements in the next version. After gaining that first experience, I started a larger roguelike project that I developed iteratively over a year. This approach helped me build a clear brand identity and create a community that kept coming back. However, the development process was also challenging: phases of boredom and doubt crept in because progress felt slower. My takeaway? A mix of both worlds works best—a small, early game provides quick feedback and keeps motivation high, while a long-term project delivers the depth and engagement needed for long-term player retention. Essentially, you can start with a short prototype, take away key learnings, and then expand the bigger game with those insights.