From Raw Reviews to Actionable Strategy
How a 1-Week "Agent Discovery Sprint" turned public customer feedback into a validated plan for an AI-powered insights dashboard. We assessed the data, designed the AI agent architecture, and delivered a tangible vision for a tool that acts as a "silent business partner."
"This is exactly what we needed. It's not just charts; it's a silent business partner. The dashboard is our Monday morning check-in, and the deep-dive is perfect for our franchisee calls."
Our Process: The Discovery Sprint
Aligning on Business Needs
Our process began with a collaborative workshop to pinpoint the most valuable problem to solve. We worked with the client to define their core business questions, crystallizing their key needs: identifying red flags early, understanding performance gaps, and generating actionable insights for store managers.
Finding the Gold in the Data
To validate the project's technical feasibility, we analyzed thousands of public reviews for the 25 scoped locations. This data-first approach confirmed the reviews were a rich source for insights, allowing us to identify initial patterns—like the "overheated coffee" issue—and create key data visualizations that immediately demonstrated value.
Visualizing the Solution
To make the abstract solution tangible and exciting, we created high-fidelity, interactive wireframes of the proposed application. By populating these dashboards with real data and insights, we built a prototype that allowed the client to see and feel the final product before the build even began.
From Plan to Proposal
To provide a clear and professional path forward, we consolidated our findings into a comprehensive set of formal documents. We delivered a final Technical Feasibility Report and a detailed Statement of Work (SOW), which gave the client the confidence to grant immediate approval for the pilot project.