LaunchDarkly

Selected product design work across LaunchDarkly’s experimentation platform

The Product

LaunchDarkly is a feature management and experimentation platform used by product and engineering teams to release features, run experiments, and make data-driven decisions at scale.

During my time collaborating with LaunchDarkly, I contributed to multiple initiatives across experimentation workflows, audience targeting, approvals, visualization systems, and decision-making experiences.

Designing for experimentation at scale

Experimentation platforms introduce unique UX challenges:

  • Large volumes of statistical data
  • Complex audience segmentation
  • Multi-step decision-making workflows
  • Collaboration between technical and non-technical teams

The projects focused on improving clarity, reducing friction, and helping teams make more confident product decisions.

Experiment Analysis & Decision Making

Several initiatives focused on improving how experiment results are analyzed, interpreted, and acted upon.

  • A/A testing workflows
  • Iteration decision improvements
  • Flag impact analysis
  • Holdouts experimentation

The goal was to simplify complex experimentation data into actionable interfaces that support faster and more confident decision-making.

Audience Targeting & Segmentation

Audience management experiences were redesigned to improve flexibility, discoverability, and scalability for enterprise experimentation use cases.

  • Flag audiences
  • Advanced filtering systems
  • Query builder components

These tools enabled teams to create and manage increasingly sophisticated targeting conditions while maintaining usability and clarity.

Collaboration & Governance

Additional work focused on collaboration and operational workflows across experimentation teams.

  • Experiment approvals
  • Shareable PDF reporting

These improvements helped teams communicate results more effectively and introduced additional structure into experimentation processes.

Behavior Visualization & Journey Mapping

Exploration work around heatmaps and journey mapping investigated new ways of visualizing user behavior and product interaction flows.

The objective was to surface behavioral insights in a more visual and accessible way for product teams.

Outcome

Across these initiatives, the work contributed to improving usability, scalability, and clarity across LaunchDarkly’s experimentation ecosystem, supporting teams making product decisions at enterprise scale.