Increasing agentic adoption by 150%
Role
Senior Product Designer
TIMELINE
Jan 2026 to May 2026
Enabling team members to build their own agents
Context
Catalyst was designed to help anyone at Rocket create AI agents to automate their work. But it was so complex that most employees never adopted it, and it ended up being used almost exclusively by developers.
my role
As the Senior Product Designer, I led the end-to-end redesign of Catalyst over four months. Working closely with research, product, and engineering, I focused on simplifying agent creation to make the platform approachable for every Rocket team member
Creating an agent to help create agents
Our research showed that most team members didn’t know how to build an agent. Instead of expecting users to learn a complex process, we designed an AI-powered chat experience that guided them through creation step by step.
Showing what agents can do
To help users overcome the uncertainty of starting from scratch, we created a community agent library. By showing real examples, team members could use existing solutions, understand different agent types, and find inspiration for building their own.
Building confidence before launching
We redesigned the testing experience to make it easier for anyone to validate their agents before launching. AI provides recommendations on what to test, while users could run multiple tests and quickly review results in one place to ensure their agents are working as expected.
hours saved
m+
task automated
agents in first 60 days
%
more users
Increasing agentic adoption by 150%
Role
Senior Product Designer
TIMELINE
Jan 2026 to May 2026
Enabling team members to build their own agents
Context
Catalyst was designed to help anyone at Rocket create AI agents to automate their work. But it was so complex that most employees never adopted it, and it ended up being used almost exclusively by developers.
my role
As the Senior Product Designer, I led the end-to-end redesign of Catalyst over four months. Working closely with research, product, and engineering, I focused on simplifying agent creation to make the platform approachable for every Rocket team member
Creating an agent to help create agents
Our research showed that most team members didn’t know how to build an agent. Instead of expecting users to learn a complex process, we designed an AI-powered chat experience that guided them through creation step by step.
Showing what agents can do
To help users overcome the uncertainty of starting from scratch, we created a community agent library. By showing real examples, team members could use existing solutions, understand different agent types, and find inspiration for building their own.
Building confidence before launching
We redesigned the testing experience to make it easier for anyone to validate their agents before launching. AI provides recommendations on what to test, while users could run multiple tests and quickly review results in one place to ensure their agents are working as expected.
hours saved
m+
task automated
agents in first 60 days
%
more users
Increasing agentic adoption by 150%
Role
Senior Product Designer
TIMELINE
Jan 2026 to May 2026
Enabling team members to build their own agents
Context
Catalyst was designed to help anyone at Rocket create AI agents to automate their work. But it was so complex that most employees never adopted it, and it ended up being used almost exclusively by developers.
my role
As the Senior Product Designer, I led the end-to-end redesign of Catalyst over four months. Working closely with research, product, and engineering, I focused on simplifying agent creation to make the platform approachable for every Rocket team member
Creating an agent to help create agents
Our research showed that most team members didn’t know how to build an agent. Instead of expecting users to learn a complex process, we designed an AI-powered chat experience that guided them through creation step by step.
Showing what agents can do
To help users overcome the uncertainty of starting from scratch, we created a community agent library. By showing real examples, team members could use existing solutions, understand different agent types, and find inspiration for building their own.
Building confidence before launching
We redesigned the testing experience to make it easier for anyone to validate their agents before launching. AI provides recommendations on what to test, while users could run multiple tests and quickly review results in one place to ensure their agents are working as expected.
hours saved
m+
task automated
agents in first 60 days
%
more users
Increasing agentic adoption by 150%
Role
Senior Product Designer
TIMELINE
Jan 2026 to May 2026
Enabling team members to build their own agents
Context
Catalyst was designed to help anyone at Rocket create AI agents to automate their work. But it was so complex that most employees never adopted it, and it ended up being used almost exclusively by developers.
my role
As the Senior Product Designer, I led the end-to-end redesign of Catalyst over four months. Working closely with research, product, and engineering, I focused on simplifying agent creation to make the platform approachable for every Rocket team member
Creating an agent to help create agents
Our research showed that most team members didn’t know how to build an agent. Instead of expecting users to learn a complex process, we designed an AI-powered chat experience that guided them through creation step by step.
Showing what agents can do
To help users overcome the uncertainty of starting from scratch, we created a community agent library. By showing real examples, team members could use existing solutions, understand different agent types, and find inspiration for building their own.
Building confidence before launching
We redesigned the testing experience to make it easier for anyone to validate their agents before launching. AI provides recommendations on what to test, while users could run multiple tests and quickly review results in one place to ensure their agents are working as expected.