70% Faster Discovery with an AI-Powered Synthetic User Agent
Services & Leadership
AI Product Design Strategy | |Synthetic User Agent Development | Research Insight Integration | Prompt Framework Creation | AI Adoption & Team Enablement
Cross-Functional Team
Lead Product Designer Lead Researcher Lead Product Manager VP/D Digital Analytics
Category
Timeframe
Problem
Research existed across reports, personas, and behavioral studies, but it was trapped in static documents and disconnected from day-to-day product discovery. As a result, teams relied on assumptions or waited on new research cycles, slowing decision-making and creating friction between insight gathering and product action.
Solution
I identified an opportunity to operationalize existing research instead of relying on static repositories. To bridge the gap between research insights and real-time product decisions, I designed and built a Synthetic Users AI Agent that brought our existing research to life.
The agent was trained on our internal research repository, including personas, behavioral insights, usability findings, and journey data. Product teams could present a hypothesis, product idea, or design concept to the agent, which would then analyze the idea through the lens of our synthetic user profiles.
Rather than providing generic AI feedback, the agent responded with reasoning grounded in our research and cited the specific sources it referenced. This allowed teams to pressure-test ideas quickly, explore potential user reactions, and uncover risks or blind spots early in the discovery process.
To ensure consistent and responsible use, I also introduced AI-enabled discovery workflows, created prompt libraries for designers and product managers, and led internal demonstrations to help teams adopt the tool as part of their everyday product development process.
This initiative turned research into reusable product infrastructure. Instead of living in static reports, customer insight became something teams could actively use in real time to test ideas, reduce guesswork, and make faster, more confident product decisions across the organization.
My Role
I led the strategy, design, and rollout of the synthetic user agent, including research integration, prompt framework creation, adoption planning, and internal enablement across product and design.
Impact
70% faster discovery-to-design cycle
Teams evaluated ideas and tested hypotheses in minutes instead of waiting for new research cycles.
Reduced research bottlenecks
Existing insights became accessible during day-to-day product work rather than buried in static reports.
More confident product decisions
Teams moved forward with concepts grounded in research rather than assumptions.
Established a repeatable AI-enabled workflow
Prompt frameworks and team enablement helped operationalize the approach beyond a one-off experiment.
