Community Clubhouse: Telemetry-Driven Dev Building Feedback Loops for Live Games

Community Clubhouse: Telemetry-Driven Dev Building Feedback Loops for Live Games

Stage 14 - Confex Level 2
Panel

Information

In today’s competitive landscape, successful games aren’t just born from creative instincts—they’re shaped by smart, timely data. This panel brings together industry veterans from studios working with titles like Baldur’s Gate 3, Angry Birds, and top-performing hyper-casual hits to explore how data can drive better game design, team performance, and business outcomes.

The session will cover how to structure analytics pipelines early in development, from testing trailers before code is written to using telemetry in playtests to fine-tune first-time player experience. We'll explore real-world case studies that highlight how shifting from feature-based to KPI-based milestone planning leads to higher unit profitability and more sustainable teams. Topics will include what kind of data to collect, how to collect it, and how to ethically leverage it to make informed decisions that balance creative vision with commercial success.

Whether you're launching your first game or optimizing a live title, this panel will provide tactical insights into using data as your superpower - helping your studio build games players truly want while keeping your team aligned, efficient, and future-ready.

Target Audiences
- Game Developers & Producers Looking to incorporate data into their development process to ship better games, faster. - Studio Founders & Executives Interested in optimizing roadmap planning, improving ROI, and building commercially viable but creatively fulfilling products. - Game Designers Wanting to validate and evolve design decisions using real player behavior and feedback. - LiveOps & Product Managers Focused on player engagement, monetization, and long-term game health through metrics and telemetry. - Data Analysts & AI/ML Specialists Working in gaming and looking for use cases of applying analytics pipelines and machine learning in game development. - Anyone exploring how to make more human-centric, data-smart games in a market where stakes are higher than ever.
Experience Level
Intermediate
Key Take Aways
1. Data-Driven Decision Making from Day One Learn how to collect and utilize player data—even before development starts—through trailer testing, A/B experimentation, and early prototypes. 2. Redefining Milestones with KPIs Shift away from traditional Alpha/Beta gates toward development milestones tied to measurable KPIs like retention, engagement, and unit economics. 3. How to Build Ethical, Sustainable Teams with Data Understand how visibility into your team’s operational performance helps avoid burnout, optimize workflows, and align feature delivery with player value. 4. Practical Game Analytics Implementation Gain actionable strategies on building lightweight but powerful analytics pipelines that can scale with your game—no matter the genre or platform. 5. From Telemetry to Traction Discover real-world examples (e.g., BG3, Rovio, Voodoo) of how analytics informed product direction, monetization, and retention strategies at every stage.
Session Type
Panel

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