Redesigning Market Research AI Agent for Stealth AI Startup

B2B/SaaS

AI Workflow Automation

Solutions & Product

Desktop

This pre-seed AI startup created a platform simulating human behavior with synthetic AI respondents for faster, cost-effective causal market research. Despite technical innovation, user acquisition and engagement were low. I was brought on to address this.

Timeline

Jul 2024 - Nov 2024

Owned

Led technical discovery, redesigned LLM workflows, and created the enterprise demo/POC.

Team

Cross-functional team across engineering, product, and marketing.

Impact (Directional)

~3x Enterprise Demo Calls

~2-3x Workflow Completion

Shaped Product Roadmap

TL; DR

Problem

Enterprise users struggled to turn ambiguous research questions into reliable, decision-ready insights. Outputs were inconsistent, and workflows didn’t match how teams actually run research.

Approach

Led structured discovery → redesigned the end-to-end workflow, adding clearer system logic, guardrails, and human-in-the-loop review points.

Result

Higher clarity and trust in outputs, faster time-to-insight, and stronger adoption in demos (directional).

Timeline

Jul 2024 - Nov 2024

Owned

Led technical discovery, redesigned LLM workflows, and created the enterprise demo/POC.

Team

Cross-functional team across engineering, product, and marketing.

Impact (Directional)

~3x Enterprise Demo Calls

~2-3x Workflow Completion

Shaped Product Roadmap

Timeline

Jul 2024 - Nov 2024

My Role

Solution Engineer & PM

Led technical discovery, redesigned LLM workflows, and created the enterprise demo/POC.

Team

Cross-functional team across engineering, product, and marketing.

Impact

3x Enterprise Demo Calls

2.4x User Engagement

Shaped Company Roadmap

TL; DR

Problem

Enterprise users struggled to turn ambiguous research questions into reliable, decision-ready insights. Outputs were inconsistent, and workflows didn’t match how teams actually run research.

Approach

Led structured discovery → redesigned the end-to-end workflow, adding clearer system logic, guardrails, and human-in-the-loop review points.

Result

Higher clarity and trust in outputs, faster time-to-insight, and stronger adoption in demos (directional).

TL; DR

Problem

Enterprise users struggled to turn ambiguous research questions into reliable, decision-ready insights. Outputs were inconsistent, and workflows didn’t match how teams actually run research.

Approach

Led structured discovery → redesigned the end-to-end workflow, adding clearer system logic, guardrails, and human-in-the-loop review points.

Result

Higher clarity and trust in outputs, faster time-to-insight, and stronger adoption in demos (directional).

Full case study available upon request

Solution: A casual market research AI tool for product managers to pre-test product questions with AI synthetic personas

Impact

By narrowing the target audience and use case, I increased workflow completion ~2–3x

Directional impact (sanitized)

~3x

Enterprise Demo Calls

~2-3x

Workflow Completion

20+

Prioritized Roadmap Items

Shape company's strategy

Supported product–market fit discovery in an ambiguous 0→1 stage; partnered cross-functionally to deliver investor-ready narrative (VC deck + demo) and QA validation for launch readiness.