• 

  IdeaMirror

• 

  entry screen

• 

  selection customer type

• 

  report preview

IdeaMirror

Inspiration

• Product Managers in highly regulated industries like banking often face massive bottlenecks because real user testing takes weeks due to strict privacy and compliance rules.
• We were inspired to build a "stress test" sandbox that allows PMs to get instant feedback from 1,000 "synthetic personas" without any risk of leaking real customer data.

What it does

• IdeaMirror is an AI Shadow Customer Simulator where PMs can paste a feature plan (PRD) and instantly see how different customers would react.
• The system simulates diverse personas—such as a skeptical retiree or a tech-savvy freelancer—to provide immediate feedback on user experience.
• It generates a "Launch Readiness" report that quantifies frustration levels, trust scores, and potential compliance risks.

How we built it

• Ｗe focused on building a high-fidelity frontend prototype in Figma to demonstrate the full interactive user journey.
• We designed a theoretical system architecture featuring Amazon S3, Redis queues, and Serverless functions to ensure the platform is industrially scalable for an enterprise environment.
• We mapped out the logic for a specific use case—the "Annual Spending Summary Story"—to show how AI can catch nuanced human emotions like privacy anxiety.

Challenges we ran into

• Persona Nuance: It was difficult to make AI personas act like truly anxious banking customers rather than just generic chatbots.
• Time Management: With only 12 hours, we had to make the difficult choice to prioritize a polished, interactive frontend demo over a backend that might have been buggy.

Accomplishments that we're proud of

• We successfully designed an enterprise-grade B2B SaaS interface that looks and feels like a professional tool used at a bank.
• A Figma protoype!

What we learned

• Completion > Perfection: We learned that a clear, visual story is often more effective for a hackathon pitch than a half-working technical implementation.
• Compliance vs. Fun: Designing for the "Sarah" (Compliance Officer) persona taught us how hard it is to balance engaging "gamified" features with strict financial regulations.

What's next for IdeaMirror

• Backend Integration: Moving from a Figma prototype to a live Python/Streamlit application using parallel API orchestration.
• A/B Simulation: Enabling PMs to compare two different versions of a PRD to see which one "Martha" or "Kevin" prefers in real-time.

Built With

• discord
• figma
• github