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Dark Launch

Dark Launch is a technique for introducing a new feature to a limited group of users without public announcement. It allows teams to gather feedback and monitor performance before a full rollout.
Also known as:stealth launch, shadow launch, soft launch, private launch

Definition

Dark Launch refers to the practice of releasing a new feature to a limited group of users without making a public announcement. This allows teams to test the feature in a real-world environment while minimizing the risk of negative user feedback.

This approach is important because it enables product teams to gather data on user interactions and performance before a full rollout. By monitoring how the feature performs with a smaller audience, teams can identify issues and make necessary adjustments. This can lead to improved user satisfaction and a smoother overall launch.

Dark launches are often applied during the development phase of a product, particularly when introducing significant changes or new features. They can be used in various contexts, including web applications, mobile apps, and software updates.

Allows for real-world testing without public exposure.

Facilitates data collection on user behavior.

Reduces the risk of widespread issues at launch.

Enables iterative improvements based on user feedback.

Expanded Definition

# Dark Launch

Dark Launch refers to the practice of releasing a new feature to a limited group of users without making a public announcement.

Variations and Adaptations

Teams often implement dark launches in various ways. Some may choose to release the feature to internal employees first, while others might select a small percentage of external users. This approach allows teams to gather feedback and monitor system performance in a controlled environment. Additionally, teams may use feature flags to toggle the feature on or off for different user segments, allowing for more granular control over who experiences the new functionality.

Different teams may interpret dark launches according to their specific goals. For instance, a product team might focus on usability testing, while a marketing team might use it to refine messaging before a broader release. The flexibility of this method supports experimentation and risk management.

Connection to Related Methods

Dark launching is closely related to A/B testing and phased rollouts. Both methods aim to gather user data and insights before full deployment. While A/B testing compares multiple versions of a feature, dark launching focuses on releasing a single version to a subset of users. Together, these methods help teams make informed decisions that enhance user experience and product performance.

Practical Insights

Define Clear Objectives: Establish what you want to learn from the dark launch before proceeding.

Monitor User Feedback: Collect qualitative and quantitative data to assess how the feature is received.

Communicate Internally: Ensure all team members are aware of the dark launch to align efforts and expectations.

Be Prepared to Iterate: Use insights gained to refine the feature before a larger release.

Key Activities

Dark Launch involves releasing a new feature to a limited group of users without public awareness.

Identify target user segments for the dark launch.

Design the user experience for the new feature.

Implement tracking tools to gather user feedback and behavior data.

Monitor user interactions and performance metrics closely.

Analyze feedback to assess the feature's effectiveness and usability.

Iterate on the design based on insights gathered from the dark launch.

Prepare a communication plan for a broader launch based on the results.

Benefits

Dark Launch allows teams to test new features with a limited user group before a full rollout. This approach helps ensure that the feature meets user needs and performs well, benefiting users, teams, and the business.

Reduces the risk of widespread issues by identifying and fixing problems early.

Enhances user feedback by allowing real-world usage data to inform improvements.

Facilitates smoother workflows by enabling iterative testing and adjustments.

Promotes clearer decision-making based on actual user interactions and behavior.

Increases alignment among teams by providing insights into feature performance before the public launch.

Example

In a digital product team working on a popular fitness app, the product manager identifies a need for a new social sharing feature. This feature would allow users to share workout achievements with friends. Before a full rollout, the team decides to execute a dark launch to test the feature's functionality and gather user feedback without drawing attention to it.

The designer creates a prototype of the social sharing feature and works closely with engineers to integrate it into the app for a small group of users. This group consists of loyal customers who have opted into beta testing. The product manager coordinates with the research team to set up analytics that will track user interaction with the feature, such as how often it is used and any technical issues that arise.

After the dark launch, the research team collects data and conducts interviews with the selected users. They discover that while the feature is used frequently, many users find the sharing process confusing. The designer revises the interface based on this feedback, making it more intuitive. Once the adjustments are made, the product team prepares for a full launch, confident that the feature has been refined to better meet user needs.

Use Cases

Dark Launch is useful for testing new features in a controlled environment. It allows teams to gather feedback and monitor performance without impacting the entire user base.

Delivery: Deploy a new feature to a small percentage of users to identify technical issues before a full rollout.

Optimisation: Collect user data on a feature's performance and usability to make informed improvements based on real user interactions.

Design: Test different variations of a feature with specific user groups to evaluate which design elements are most effective.

Discovery: Validate assumptions about user needs by releasing a feature silently and observing user behavior and engagement.

User Testing: Allow selected users to access a new feature for feedback while keeping it hidden from the broader audience.

Performance Monitoring: Monitor system performance and user experience under real-world conditions without exposing the entire user base to potential issues.

Challenges & Limitations

Dark Launch can be challenging for teams because it involves releasing features to a limited audience without public awareness. This can lead to confusion about user feedback, internal alignment, and data interpretation.

Miscommunication: Team members may not be aware of the dark launch, leading to inconsistent messaging.

Hint: Ensure all stakeholders are informed and have access to documentation about the launch.

Limited Feedback: With only a subset of users experiencing the feature, feedback may not represent the broader user base.

Hint: Consider using surveys or targeted interviews to gather diverse insights.

Data Interpretation: Analyzing data from a small group can lead to misleading conclusions.

Hint: Use caution when interpreting data and clearly label it as representative of a limited audience.

User Experience Discrepancies: Users who receive the feature may have different experiences compared to those who do not, causing confusion.

Hint: Monitor user interactions closely and provide clear communication for any discrepancies.

Organizational Resistance: Team members may be resistant to unannounced changes, causing friction.

Hint: Foster a culture of transparency and explain the purpose and benefits of dark launching.

Technical Issues: Bugs or performance issues might go unnoticed until broader release, impacting user satisfaction.

Hint: Conduct thorough testing and monitoring during the dark launch phase to identify issues early.

Tools & Methods

Dark launching allows teams to test new features with a limited audience, minimizing risk and gathering feedback before a full rollout.

Methods

A/B Testing: Compare user responses between the dark launched feature and the existing version to gauge effectiveness.

User Feedback Sessions: Collect qualitative insights from users who have access to the new feature to inform further development.

Analytics Monitoring: Track user behavior and performance metrics related to the dark launched feature to assess its impact.

Gradual Rollout: Slowly increase the number of users with access to the feature to monitor performance and gather data.

Tools

Feature Flagging Tools: Manage feature access for different user segments without deploying new code.

User Analytics Platforms: Analyze user interactions and engagement metrics to evaluate the dark launched feature.

Feedback Collection Tools: Gather user opinions and suggestions through surveys and feedback forms.

A/B Testing Software: Facilitate experiments to compare different versions of features among users.

How to Cite "Dark Launch" - APA, MLA, and Chicago Citation Formats

UX Glossary. (2025, February 12, 2026). Dark Launch. UX Glossary. https://www.uxglossary.com/glossary/dark-launch

Note: Access date is automatically set to today. Update if needed when using the citation.