Suzy Signals | 2025
0→1, AI PRODUCT INNOVATION, PLAYER-COACH
Turning fragmented research workflows into a connected insight system
Role: Director of Product Experience, IC Designer
Suzy is a market research platform that helps companies create studies and make better business decisions from consumer feedback, while Crowdtap is the consumer community where people answer surveys and share their opinions.
Suzy Signals explored a mobile experience for continuous insight discovery — helping teams move from signal discovery, to AI probing, to study creation, to insight synthesis in one integrated workflow.
This 0→1 initiative focused on using AI to make research feel more fluid, actionable, and always connected to the next decision.
Outcome
~60%
Faster time-to-insight
Reduced researcher cognitive load
Enabled continuous insight engagement for decision makers
Business Goal & Context
Improve slow study planning and credit usage.
Our CEO wanted to introduce a chat-first AI experience
The Problem
Market research is episodic and reactive.
Fragmented AI Workflow
Interviews with 9 market researchers revealed a consistent frustration.
AI accelerated tasks but workflow remained fragmented across tools to:
• transcribe
• cluster
• summarize
• interpret findings
• build studies
• synthesize insights
These resulted in:
slow study planning
low credit usage
By showing where users were struggling and connecting those problems to our business metrics, I was able to get our CEO aligned on a broader product direction rather than limiting the experience to chat.
STAKEHOLDER MANAGEMENT
STRATEGIC OPPORTUNITY
How might Suzy help leaders continuously act on consumer insights?
Product Hypothesis
By simplifying study planning and connecting fragmented AI workflows, we hypothesized that users would create more studies and increase research credit utilization.
My Role
Problem Framing
Reframed the opportunity from adding AI features to solving a fragmented research workflow.
Workflow Design
Defined the end-to-end system connecting signal discovery → study creation → insight synthesis → storytelling.
AI Prompt Design
Designed prompts that produced credible insights and contextual imagery aligned with each signal.
Rapid Prototyping & Usability Research
Prototyped the system and conducted usability testing to validate the end-to-end insight workflow.
The Vision & Solution
Integrated Research Workflow + Continuous Insight Discovery
Instead of adding AI to individual tasks, I reframed the opportunity:
From AI-accelerated tasks→ to an integrated insight system
A workflow connecting:
Signal discovery → AI probing → Study creation → Insight synthesis.
Initial Prototype:
Traditional Research
Signals System
Tradeoffs
In a 0→1 environment, prioritization was critical. These decisions reflect how we balanced speed, trust, and validation before scaling.
Impact
Validation
In moderated usability sessions:Participants completed the signal → study → summary workflow without facilitator support
Researchers reported lower cognitive load compared to their current multi-tool process
Stakeholders described the outputs as clear and decision-ready
~60%
Reduction in Time-to-Insight
Directional finding from workflow comparisons; pending live platform validation
Executive Alignment
The usability findings strengthened our CEO's confidence in the broader product vision, giving our team the support to develop a phased roadmap for improving the end-to-end research experience beyond a standalone chat solution.
STAKEHOLDER MANAGEMENT
Reflection
The real shift wasn’t manual → AI.
It was:
fragmented tools → integrated systems.
When AI becomes part of a product, UX shifts from interface design to trust architecture.
Success isn’t measured by how quickly AI produces answers.
It’s measured by whether people trust those answers enough to act on them.