2026 EDITION

Selected Work

Jasper is an AI platform for marketing teams to plan, create, and scale content.

On the Growth team, I focus on activation and adoption. I designed Jasper's first agent-led onboarding for Jasper IQ, the system powering brand knowledge and personalization.

I also designed the first-time experiences for Canvas and Grid, and led the UX strategy for Jasper's credit-based consumption system. Recently, I've been exploring agent-first product patterns as Jasper evolves toward a more agent-native platform.

PROJECT 01

IQ AGENT

Agents that power Brand IQ creation, refinement, and governance.

IQ Agent
  • Designed an opinionated, agent-led setup flow with human-in-the-loop decisions
  • Agents research company context by synthesizing public information
  • Reduced upfront configuration through lightweight review and refinement
  • Extended beyond setup into IQ editing and ongoing management
  • Introduced governance patterns to support trust, ownership, and scale
PROJECT 02

Canvas
SAMPLE PROJECT

First-time Canvas experience through example-led learning

Sample Canvas Project
  • Designed a Sample Project—a pre-built Canvas demonstrating a realistic, multi-channel marketing campaign
  • Paired with an optional guided tour for step-by-step learning
  • Shows how Apps, Chat, project settings, and bulk editing work together
  • Allows users to explore freely or opt into guidance based on their learning style
  • Used coded prototypes to demonstrate interactive tour flows and canvas pan behavior for engineering alignment
PROJECT 03

Grid TEST MODE

Safe experimentation for consumption-based AI credits

Grid Test Mode
  • Designed Test Mode for Grid—a clearly defined, non-billable state for safe experimentation
  • Enabled free generation for designated test rows, visually distinct from billable usage
  • Clearly communicated when actions would consume credits, reducing pricing anxiety
  • Designed the broader consumption-based pricing system across the app, aligning Test Mode with credit logic and usage models
  • Used coded prototypes to make pricing mechanics tangible, helping stakeholders quickly grasp edge cases and tradeoffs
+15

experiments shipped

EXPERIMENTS ARCHIVE
Progressive Signup
Ask Jasper
Suggestion Chip
Get started hero
Zero to Project

Progressive Signup

A progressive, chat-based signup designed to reduce friction and guide users into the right first experience.

CONTROL (A)
Baseline signup
VARIANT (B)
HYPOTHESIS

A guided signup will reduce friction and drive more intentional user input, improving trial quality.

SURVEY COMPLETION
+10%
TRIAL SIGNUP
+8%

Ask Jasper

Improving discoverability of Ask Jasper by simplifying how users add and edit content in the Editor.

CONTROL (A)
Baseline Ask Jasper
VARIANT (B)
HYPOTHESIS

Making Ask Jasper visible at content entry points will clarify create vs. edit actions and drive more intentional AI usage.

ASK JASPER USAGE
+22%
EDITOR COMPLETION
+31%

Suggestion Chip

Improving early activation and habit formation by surfacing contextual suggestions in the Editor that guide users to research, remix content, and refine Brand Voice.

CONTROL (A)
Control Suggestion Chip
VARIANT (B)
HYPOTHESIS

Contextual suggestion chips will prompt more intentional in-Editor actions, increasing early activation and deeper adoption of Jasper's core features.

COPILOT / CHAT USAGE
+24%
CONTENT REMIX
+18%

Get Started Hero

Redesigned hero section to improve first-time user activation.

CONTROL (A)
Control Get Started
VARIANT (B)
HYPOTHESIS

Replacing an open-ended welcome with use-case guidance will reduce ambiguity and help users reach value faster.

FIRST CONTENT GENERATED
+8%

Zero to Project

Streamlined onboarding to help users create their first project faster.

CONTROL (A)
Control Zero to Project
VARIANT (B)
HYPOTHESIS

Reducing steps to first project will improve trial conversion and early retention.

BRAND VOICE ACTIVATION
+12%
TIME TO FIRST PROJECT
-32%
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