How Much Can You Make with Procedural Generation?

How Much Can You Make with Procedural Generation? An Indie Dev Experiment

Procedural generation (PG) promises infinite content. But can it actually translate to more revenue for your indie game? Let’s treat this as an experiment, dissecting the potential impact of PG on your development time, budget, and ultimately, your game’s success.

The Procedural Generation Hypothesis

Our hypothesis is: strategic, limited use of procedural generation can significantly reduce development time and cost, leading to a higher potential for profit, but only if player engagement is maintained through careful design and testing.

Stage 1: The Allure and the Abyss

PG seems like a silver bullet. Imagine endless levels, items, or quests generated automatically. The reality? Many developers fall into the “PG abyss.” They over-rely on algorithms, creating repetitive, uninspired content that quickly bores players.

Pitfalls to avoid:

• Uncontrolled Randomness: Pure randomness isn’t interesting. Curate the generation process.
• Lack of Cohesion: Elements generated separately might not fit together aesthetically or thematically.
• Poor Gameplay Integration: Content needs to be meaningful and serve the game’s core mechanics.

Indie developer example: No Man’s Sky initially faced criticism for its procedurally generated universe feeling vast but empty. This shows that scale alone doesn’t equal engaging gameplay.

Stage 2: Strategic Implementation

The key is strategic PG. Don’t generate everything. Focus on aspects where variation is valuable and doesn’t require hand-crafted precision.

Consider these areas:

• Level Design: Generate layouts with pre-designed rooms or sections.
• Content Variation: Create variations of existing assets (e.g., enemy stats, item properties).
• World Building: Generate terrain, foliage, and environmental details.

Actionable Advice:

1. Identify repetitive tasks in your development pipeline.
2. Determine if PG can automate or expedite these tasks without sacrificing quality.
3. Prioritize areas where PG offers the most significant return on investment (time saved vs. player enjoyment).

Stage 3: Prototyping and Testing

Before committing to a full PG system, prototype its core functionality. Create a small, vertical slice of your game showcasing the procedurally generated elements.

Testing is crucial:

• Gameplay Tests: Observe players interacting with the generated content. Do they find it engaging? Repetitive?
• Usability Tests: Is the generated content easy to navigate and understand?
• A/B Testing: Compare player retention and monetization metrics between hand-crafted content and procedurally generated content.

Indie developer example: Dead Cells uses procedural generation for level layouts, but it carefully controls the elements within those levels, creating a balanced and challenging experience.

Stage 4: Data-Driven Refinement

Collect data on player behavior. Track metrics like:

• Playtime: How long do players engage with procedurally generated content?
• Retention Rate: Do players return after encountering procedurally generated elements?
• Monetization: Does PG affect in-app purchases or DLC sales?

Analyze this data to identify areas for improvement. Refine your PG algorithms based on player feedback and performance metrics.

Actionable Advice:

1. Implement analytics tools to track player behavior within your game.
2. Regularly review your data and identify trends.
3. Iterate on your PG algorithms based on your findings.

Stage 5: Documenting the Experiment: The Game Dev Journal

Throughout this process, meticulously document your findings in a game dev journal. A game development log isn’t just for remembering what you did, it’s a critical tool for analyzing the impact of your decisions.

What to include in your game dev journal:

• Daily/Weekly Entries: Record your progress, challenges, and solutions.
• Code Snippets: Save important code segments for future reference.
• Design Decisions: Explain your design choices and their rationale.
• Test Results: Document your testing procedures and their outcomes.
• Data Analysis: Summarize your data findings and their implications.

Staying consistent with your devlog allows you to track game development progress effectively. It lets you see the direct impact of PG on your project. It also helps you avoid repeating mistakes.

Many indie developers share their game development logs publicly (devlogs) to build community and get feedback. This is a great way to get external perspectives on your design decisions. It can also help boost visibility for your game.

Conclusion: The Variable of Procedural Generation

PG isn’t a magic money printer. It’s a variable in your game development experiment. By understanding its strengths and weaknesses, implementing it strategically, and tracking its impact through data and a detailed game dev journal, you can maximize its potential for boosting your game’s success.

If you’re ready to take your game development documentation seriously and start meticulously tracking your progress, try our game development journal today and elevate your workflow. Start Tracking Your Progress Now