Harness Completes Split Integration and Adds New Features to Expand Feature Management and Experimentation Offering

The modern software development lifecycle demands speed, reliability, and data-driven decision-making. Yet, many teams struggle with fragmented tools, forcing them to manage feature releases, monitor impact, and run experiments across multiple platforms. With the integration of Split into the Harness platform, that challenge is now a thing of the past.

Harness Feature Management & Experimentation (FME) unifies these critical capabilities into one seamless experience, allowing teams to control rollouts, run structured experiments, and gain real-time insights—all within their existing DevOps workflow. As part of this milestone, we’re also introducing powerful enhancements that make feature experimentation more flexible, scalable, and actionable.

Now available within the Harness dashboard, FME offers:

• Seamless Authentication – Use Harness users and groups to access feature management and experimentation tools.
• Complete Feature Access – Gain full control over feature flags, release monitoring, and experimentation in one platform.
• Enhanced Experimentation – A centralized dashboard, structured workflows, smarter audience targeting, and deeper impact tracking.
• Future Expansion – Laying the groundwork for even more integrations within the Harness ecosystem.

By eliminating complexity and streamlining workflows, Harness FME empowers teams to release faster, experiment smarter, and make confident, data-driven decisions.

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Migrating Split Customers into Harness

‍The migration of Split customers into the Harness platform is underway, and it’s an exciting milestone our team has been building towards over the 7 months post-acquisition.To make this upgrade as simple as possible, we are working closely with users, walking them through a low-touch/no-touch upgrade process, depending on their use case. Upon migrating to the Harness platform, multiple enterprise enhancements will be unlocked and available, including, customizable roles, IP allow listing, login activity tracking, and more.

Enhanced Experimentation Rolling Out

‍Experimentation is essential for delivering high-quality software, allowing teams to test, validate, and refine new functionality before full rollout. Within Harness FME, experimentation is deeply integrated with feature flags, release monitoring, and real-time analytics, giving teams a complete view of how changes impact performance and user experience. This ensures that every release is backed by data, reducing risk and increasing confidence in deployment decisions. By embedding experimentation into feature management, Harness helps teams release smarter and faster. Teams can define clear hypotheses, track key metrics independently from feature flags, and analyze results in a centralized dashboard for better decision-making. Enhanced data controls also provide flexibility, ensuring teams gather meaningful insights while managing costs effectively. To further enhance this, we’re introducing three powerful features for more structured, insightful, and efficient experimentation.

‍Experimentation Design

‍New workflow for designing experiments decouples experimentation analysis from flag monitoring use cases. Formal experiments will now include hypothesis, duration, targeting rule, and treatments relevant for analysis—providing a more intuitive structure that unlocks future experimentation reporting.

Experimentation Dashboard

‍Introduces a separate experimentation dashboard, featuring a consolidated, tabular view of critical metrics while also enabling drill-down capabilities for deeper insights and granular analysis. Added functionality supports the comparison of multiple treatments and sample size visualization providing a better holistic view.

Impression Tracking Toggle

‍Allows impression data to be selectively tracked at the feature flag level using the FME cloud console—enable tracking to debug issues or monitor for impact, disable when feature is fully-ramped. This flexibility provides better cost management without sacrificing insights into critical features or release stages.

Early Access Features In Beta

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Guardrail Metric Insights

‍Enhances insights by plotting guardrail metrics over time, providing a deeper understanding of the impact every feature release has on guardrail metrics – causal insights for percentage releases, correlational for non-percentage rollouts. Added insights make data-driven decisions possible at every stage, even before statistical significance is achieved.

Rule-Based Segments

‍Introduces flexible targeting allowing segments to be defined using rules instead of static lists. Rule-based segments let customers reuse targeting rules across feature flags, streamlining releases to key audiences. This reduces repeated setup, ensures consistency, and speeds delivery of new features.

Coming Later This Year

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Warehouse Native Experimentation

‍Enables experimentation within a customer’s data warehouse while using Harness FME feature flags and SDK. Data storage, processing, attribution, and statistical comparisons happen directly within the customer data warehouse, which reduces data pipeline complexity, lowers costs, improves privacy, and supports large-scale experimentation.

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Harness the Power of Experimentation Today

‍Without the right tools, software releases can be risky, slow, and full of unknowns—and disjointed platforms make it even harder. Harness FME eliminates the guesswork by combining feature management, release monitoring, and experimentation into the industry-leading DevOps platform. Sign up for a demo today to see how.