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New PRD

Property Rental Platform – Broker-First Product Requirements Document (PRD)

1. Overview

1.1 Product Vision

The platform is a broker-first real estate discovery and management system.

Instead of listing properties directly, the platform primarily lists brokers and agencies. Users discover brokers, explore their publicly available inventory, and contact brokers to access additional private or semi-private properties. All property discovery, sharing, and lead handling happens through brokers using the platform.

1.2 Target Users

  • Brokers / Agencies

  • Broker Employees (agents, managers, viewers)

  • End Users (renters or buyers)

  • Platform Admin

2. Assumptions & Constraints

  • Timeline: 4 weeks (1 month)

  • Scope: MVP with broker-centric discovery, lead management, AI assistance (basic), and panoramic/virtual tours

  • Team: 2–3 developers + 1 product/UX designer

  • Non-Goals (v1):

    • Payments

    • In-platform chat

    • Automated deal closure

    • Ratings and reviews (placeholders only)

3. Core Product Principles

  1. Brokers are the primary entity.

  2. Properties are accessed through brokers, not independently.

  3. Private inventory visibility is controlled by brokers.

  4. The platform acts as:

    • A broker discovery marketplace

    • A lightweight broker CRM

    • A controlled property-sharing system

4. User Roles & Permissions

4.1 Roles

  • Broker Admin / Owner

  • Broker Manager

  • Broker Agent

  • Broker Viewer

  • User (Renter/Buyer)

  • Platform Admin

4.2 Permission Summary

Role

Key Permissions

Broker Admin

Full control, approvals, publishing

Manager

Manage listings and leads

Agent

Create drafts, manage assigned leads

Viewer

Read-only access

User

Browse brokers, view shared properties

Platform Admin

Global moderation

5. Core Entities

  • User

  • Broker / Agency

  • Employee

  • Property

  • Property Privacy Level (Public / Sneak-Peek / Private)

  • Lead

  • Media (Images, 360° tours)

  • Location

  • Activity Log

6. High-Level User Flows

6.1 Broker Flow

  1. Broker signs up as Admin.

  2. Broker creates agency profile.

  3. Broker invites employees.

  4. Employees accept invite and receive assigned roles.

  5. Employees create property drafts.

  6. Broker Admin reviews and approves listings.

  7. Approved listings become visible on broker public page.

  8. Broker manages leads and shares properties privately with users.

6.2 User Flow

  1. User lands on platform.

  2. User browses list of brokers.

  3. User opens broker public profile.

  4. User views:

    • Public properties

    • Sneak-peek properties (limited details)

  5. User contacts broker.

  6. Lead is created.

  7. Broker may share private properties with the user.

  8. User views shared properties within the platform.

6.3 Property Visibility Model

  • Public: Visible to all users.

  • Sneak-Peek: Limited details visible; full access requires broker interaction.

  • Private: Only visible to specific users after broker shares.

7. Weekly Development Plan

Week 1 – Product Definition, Architecture, and Skeleton

Product & UX

  • Lock final scope with broker-first focus.

  • Define broker, employee, and user journeys.

  • Create low-fidelity wireframes for:

    • Broker public profile

    • Broker dashboard (employees, properties, leads)

    • User broker browsing flow

    • Lead creation flow

    • Property viewing (public and shared)

    • AI assistant entry (broker side)

    • Panoramic/virtual tour viewer

Architecture & Setup

  • Choose stack:

    • Frontend: React / Next.js

    • Backend: Node.js (NestJS or similar)

    • Database: PostgreSQL

    • Cache: Redis

    • Vector search: pgvector or equivalent

    • Storage: Object storage for media

  • Setup:

    • Repositories and CI

    • Dev and staging environments

    • Authentication base

  • Define API contracts for:

    • Auth

    • Broker & employee management

    • Property management

    • Lead handling

    • Broker public pages

Goal (Week 1)

  • Finalized flows and data models

  • Frontend and backend skeletons running

  • Authentication stubbed or implemented

Week 2 – Core Broker & User MVP

Backend Implementation

  • Models and migrations:

    • Users, brokers, employees

    • Properties with privacy levels

    • Leads and statuses

    • Locations

  • Core APIs:

    • Authentication

    • Broker and employee management

    • Property CRUD with approval workflow

    • Lead creation and assignment

  • Property lifecycle:

    • Draft → Pending Review → Published / Rejected

  • Geocoding integration for property locations

Frontend Implementation

  • Broker dashboard:

    • Employee management

    • Property creation and approval

    • Lead list

  • User flows:

    • Browse brokers

    • Broker profile page

    • Public and sneak-peek listings

    • Contact broker form

  • Access control:

    • Limited anonymous browsing

    • Signup wall when limits exceeded

Goal (Week 2)

  • Brokers fully manage inventory and employees

  • Users can browse brokers and create leads

  • Approval and RBAC working end-to-end

Week 3 – AI Assistance & Virtual Tours

AI Assistance (Broker-Focused)

  • Use embeddings + vector search over broker inventory.

  • Capabilities:

    • Match user requirements to broker properties

    • Rank properties for a given lead

  • Indexing:

    • Property title, description, attributes, location

  • API:

    • Input: lead context or text query

    • Output: ranked property list

Panoramic / Virtual Tours

  • Support 360° images or external tour links.

  • Backend:

    • Media upload and association

  • Frontend:

    • Integrated 360° viewer on property pages

Goal (Week 3)

  • Brokers can use AI to shortlist properties

  • Users can view virtual tours for shared properties

Week 4 – Hardening, Analytics, and Launch Prep

UX & Polish

  • Improve error handling and validation

  • Responsive layouts

  • Refined broker public pages

Security & RBAC

  • Finalize permission enforcement

  • Rate limiting and input validation

  • Secure sessions and cookies

Analytics

  • Broker dashboard metrics:

    • Leads received

    • Properties shared

    • Property views per lead

  • Platform admin metrics:

    • Active brokers

    • Total leads

    • Active properties

Testing & Stabilization

  • Unit tests for core services

  • End-to-end tests:

    • Broker signup

    • Property approval

    • User contact

    • Private sharing

  • Manual QA

Launch Readiness

  • Seed demo brokers and properties

  • Document known limitations

  • Prepare deployment and rollback plans

Goal (Week 4)

  • Stable broker-first MVP

  • Core workflows verified

  • Ready for pilot users

8. Out of Scope (Future Versions)

  • Payments and subscriptions

  • In-platform messaging

  • Reviews and ratings

  • Advanced AI assistants

  • Transaction management

9. Success Criteria (MVP)

  • Brokers actively manage listings and leads

  • Users contact brokers through the platform

  • Private property sharing is functional

  • AI assistance provides meaningful shortlists

  • Platform is stable for pilot rollout



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