import { Card, CardContent } from "@/components/ui/card";
import { Button } from "@/components/ui/button";
import { Sparkles, FileText, Layers, Users } from "lucide-react";
export default function ConversationInsightsDeck() {
return (
);
}
From Conversation to Insight
Embedding equity into real estate strategy by turning unstructured community conversations into actionable, structured data.
Why It Matters
- Decisions on zoning, design, and finance often ignore community voice.
- Qualitative insights are rich but hard to structure or map.
- Regal.ia bridges that gap—automatically tagging transcripts for scenario modeling.
The Pipeline
Transcript Ingestion
Quote Extraction + Tagging
Model-Ready Insight Layers
What Gets Tagged
- Theme: e.g. Land Use, Equity
- Indicator: e.g. Zoning Opposition, Racial Wealth Gap
- Stakeholder: e.g. Resident, Developer
- Sentiment: Supportive, Critical, Hopeful
- Development Phase: Land → Maintenance
- Insight Type: Assumption, Model Opportunity, etc.
Use Cases in Regal.ia
- Feed into scenario modeling (e.g. community-backed zoning shifts)
- Display quote layers in site or corridor maps
- Filter by stakeholder, sentiment, or phase to align teams
- Generate prompts for participatory design and planning