In what ways can Krafton improve the anti-cheat measures in TERA to create a fairer gaming experience for all players?

Introduction

I'm excited to dive into the challenge of improving anti-cheat measures in TERA to create a fairer gaming experience. As we explore this, we'll focus on understanding the current landscape, identifying key user segments, analyzing pain points, and developing innovative solutions. Let's begin by clarifying some crucial aspects of the situation.

Step 1

Clarifying Questions (5 mins)

• Looking at TERA's position in the MMORPG market, I'm thinking about its competitive landscape. Could you share insights on how TERA's anti-cheat measures compare to those of its main competitors?

Why it matters: Helps determine if we need to catch up or innovate beyond the industry standard. Expected answer: TERA's measures are average compared to competitors. Impact on approach: Would focus on both quick wins and innovative long-term solutions.

• Considering the game's lifecycle, I'm curious about the current player base trends. Are we seeing a stable, growing, or declining player base, and how does this relate to cheating issues?

Why it matters: Influences whether we prioritize retention or acquisition in our anti-cheat strategy. Expected answer: Slight decline in player base, with cheating cited as a factor. Impact on approach: Would emphasize retention-focused solutions and community trust-building.

• Thinking about Krafton's data capabilities, I'm wondering about the current detection and analysis methods for cheating. What types of data are we collecting, and how sophisticated is our current analysis?

Why it matters: Determines the foundation we're building upon and potential quick wins. Expected answer: Basic telemetry data collected, limited real-time analysis. Impact on approach: Would suggest improvements in data collection and analysis as part of the solution.

• Considering the various types of cheating in MMORPGs, I'm curious about the most prevalent forms in TERA. What are the top 3 cheating methods we're currently facing?

Why it matters: Helps prioritize specific anti-cheat measures. Expected answer: Bot farming, speed hacks, and damage modification are most common. Impact on approach: Would tailor solutions to address these specific cheating methods first.