"Plugging the Leaks" in LiveOps to Amplify Impact
By identifying and eliminating value chain leakage, we can streamline operations, avoid waste, and deliver more value to players—all while using fewer resources.
Scaling game teams creates inefficiencies that slow workflows, waste resources, and impact player satisfaction. Therefore, proactive solutions are required to maintain speed and quality.
Issues like unplanned updates, approval bottlenecks, and unclear priorities hinder LiveOps productivity and erode value.
Visualising workflows, tracking metrics, and improving processes with tools like Kanban and probabilistic forecasting help teams deliver efficiently at scale.
As game teams grow from nimble startups to enterprise-scale operations managing live services, they often encounter challenges that didn’t exist when they were smaller. The processes and structures that once supported quick decision-making and rapid delivery can become sources of inefficiency as the team scales. These inefficiencies, or "leaks," manifest in various ways—slower workflows, misaligned priorities, and wasted resources—hindering the team’s ability to deliver value to players with the same speed and agility they once enjoyed.
Scaling up often brings new complexities, such as additional layers of approvals, increased coordination across teams, and a higher volume of unplanned work. Without proactive measures to address these issues, the growth that fuels success can also dilute it, creating friction that slows delivery and impacts player satisfaction. Recognising and addressing these leaks is essential for maintaining the speed, efficiency, and quality players expect, even as the organisation evolves.
Value Chain Leakage
Value chain leakage occurs when inefficiencies, wasted effort, or misaligned processes cause resources—such as time, money, or talent—lost at various points in a product-driven studio. These leaks reduce overall productivity, delay delivery, and erode player value. Addressing these issues, from unplanned work and poor communication to outdated tools and redundant efforts, is crucial for optimising workflows and ensuring that every part of the value chain contributes effectively.
Based on my observations of large game service teams, I’ve identified ten common examples of value stream leakage in LiveOps. These leaks often emerge as teams scale up their operations, introducing inefficiencies that can slow delivery, waste resources, or hinder responsiveness to player needs. Here are ten key examples of where value can slip through the cracks in LiveOps:
Unplanned App Updates or Hotfixes: Unexpected updates distract teams and drain resources from planned work, delaying progress on unreleased features.
Excessive Estimation and Re-Estimation: Repeatedly estimating tasks wastes time and creates unnecessary churn in planning.
Poor Hand-offs Between Teams: Inefficient transitions lead to back-and-forth communication, causing delays and wasted effort.
Overproduction of Features or Content: Building features based on assumptions instead of validated player needs wastes development time and resources.
Approval Bottlenecks: Minor changes require multiple layers of approval, creating delays and slowing down the workflow.
Duplication of Effort: Teams unknowingly work on overlapping functionality due to a lack of shared roadmaps or effective communication channels.
Excessive Tool Switching: Using multiple overlapping tools for project tracking creates confusion and wastes time syncing information across platforms.
Unclear Priorities: Teams focus on low-impact tasks because their goals and priorities aren’t well-defined, which leads to missed opportunities to create value.
Inefficient Onboarding: New hires struggle to ramp up due to inadequate training or documentation, resulting in delayed contributions and lower productivity.
Scope Creep: Frequent addition of unplanned features stretches resources and pushes deadlines, reducing overall efficiency.
Root Causes of the Leakage
Root causes of value chain leakage often stem from unclear priorities. When teams don’t know what’s most important, they focus on low-value tasks that don’t contribute to organisational goals.
Poor communication and inadequate planning also play a significant role. Misaligned teams, inaccurate estimates, and missing feedback loops create delays and wasted effort.
Inefficient tools and outdated processes slow workflows and increase the risk of errors. Bottlenecks in decision-making or excessive bureaucracy can further compound delays.
A lack of proper training or onboarding reduces productivity, as team members struggle to perform at their best. Resistance to change and failure to adapt mean inefficiencies often go unaddressed, leading to recurring waste.
Together, these issues create a reactive work culture that drains resources and prevents organisations from focusing on delivering value.
Plugging the Leaks
Integrating principles from lean software development, flow engineering, and Kanban systems can achieve a holistic approach to addressing inefficiencies in a product organisation. The focus should be creating visibility, identifying problem areas early, and enabling data-driven decision-making.
Visualising the Work
Begin with value stream mapping to understand the entire flow of value from start to finish. This involves identifying every step in the process, from idea to delivery, and evaluating how long each step takes. It helps uncover inefficiencies, bottlenecks, and waste across the value chain. By visualising the end-to-end process, you can prioritise improvements that significantly impact delivery and efficiency.
Once the value stream is clear, implement a Kanban system to visualise and manage ongoing work. A Kanban board allows teams to track tasks in real-time, categorise work, and clarify dependencies and bottlenecks. This ensures everyone understands what is in progress, what is blocked, and what is ready to move forward. Combined with insights from value stream mapping, the Kanban board becomes a powerful tool for improving flow and focusing on high-priority work.
Using Flow Metrics to Signal Problems
Flow metrics such as cycle time, throughput, and WIP provide measurable insights into workflow performance. These metrics help highlight constraints and limiting factors that slow progress or create inefficiencies. By addressing these constraints, teams can improve overall throughput and predictably deliver value.
Mapping Dependencies
Dependencies often cause delays and rework. By mapping them explicitly, teams can identify critical paths and potential blockers before they impact delivery. This is especially important for cross-functional teams or complex workflows. Visualising dependencies on the Kanban board helps streamline coordination and prioritise work that unlocks progress for others.
Shifting Left
Incorporating practices like "shift left" ensures potential problems are addressed earlier. Examples include earlier testing, more collaborative planning, and faster feedback loops. This approach reduces rework and waste by catching and resolving issues before they grow.
Probabilistic Forecasting
Traditional deterministic estimates often fail to account for variability, leading to inaccurate plans and excessive re-estimation. Probabilistic forecasting, using techniques like Monte Carlo simulation, leverages historical data and variability to predict likely outcomes. This approach provides a realistic range of delivery dates and helps teams make informed trade-offs between speed and scope.
Incorporating continuous forecasting ensures forecasts remain accurate as conditions change. By frequently updating delivery forecasts with the latest flow metrics, teams can respond proactively to emerging risks, shifting priorities, or unplanned work. Continuous forecasting strengthens decision-making and improves predictability, enabling teams to set realistic expectations with stakeholders and adjust plans dynamically without losing sight of long-term goals.
Improving Training and Onboarding
Effective onboarding ensures new hires can contribute value quickly and confidently. Standardised workflows, such as checklists and structured training plans, provide consistency and clarity. Tracking the onboarding process on a Kanban board highlights progress and identifies any delays or gaps. Feedback from new hires helps refine the process while pairing with experienced team members accelerates learning. Measuring how long it takes new hires to reach full productivity allows for continuous improvement and faster ramp-up times.
Bringing It Together
Combining these principles creates a system that continuously identifies and mitigates inefficiencies. By visualising work, monitoring flow, addressing dependencies, using data-driven forecasting, and improving their onboarding, teams can optimise their workflows and focus on delivering value with minimal waste. This integrated approach enhances predictability and fosters collaboration, agility, and continuous improvement.