CoreLogic Connect 2 Consumer

Together with CoreLogic my team designed AI-driven tools to empower real estate agents.

Summary

Project Overview

CoreLogic, a leader in property data and analytics, launched the Connect 2 Consumer (C2C) initiative to empower real estate agents amidst increasingly challenging market conditions. The product vision focused on equipping agents with advanced tools to manage and enhance lead generation, customer engagement, and operational efficiency. The initiative is designed to provide agents with AI-driven workflows and actionable insights that optimise their ability to compete and build long-term client relationships

Objective

To design and validate a market-leading product that enhances the real estate agent experience by improving lead quality, automating workflows, and enabling personalised customer interactions.

Outcomes

CoreLogic is now equipped with a validated product vision and actionable insights to proceed confidently with development.
The initiative establishes CoreLogic as a leader in empowering real estate agents through cutting-edge technology.
Positioned for incremental and adjacent market expansion through innovative agent-centric tools

Approach

Discovery

Conducted qualitative research to identify real estate agents’ key challenges, including time constraints, data segmentation issues, and lead quality concerns.

Design Sprints

Developed and tested eight product concepts, iterating on feedback to refine solutions.
Focused on integrating agent preferences, such as hub-and-spoke platforms, into the design.

Prototype and Validation

Built a clickable prototype to test core functionalities, including AI-driven workflows and lead scoring.
Validated desirability and feasibility through lean experiments and customer feedback.

Strategic Planning

Outlined incremental and adjacent revenue opportunities, emphasising scalability and alignment with CoreLogic’s existing capabilities.

Key Insights

Customer Pain Points

Agents struggle with manual data collection and segmentation.
The need for actionable insights and automated workflows is high.

Agent Preferences

Integration flexibility is favoured over rigid omni-platform solutions.
AI tools for lead management and task automation are seen as significant time-savers.

Revenue Opportunities

Potential to monetise through add-on capabilities, agent services, and adjacent markets like mortgage and utilities

Deliverables

Product Vision

A strategic vision to reduce friction in lead generation and improve agent-vendor-buyer relationships.
Prototype that demonstrated features such as automated workflows, AI-powered lead scoring, and data visualisation dashboards.

Business Case

Detailed ROI projections and investment requirements for scalable implementation.
Roadmap with phased approach to MVP development, testing, and operational scaling

My role as leader

Strategic Direction

Defined the product vision and aligned it with CoreLogic’s long-term goals.
Positioned the initiative to capitalise on market opportunities while addressing agent pain points.

Research Oversight

Led two rounds of interviews with 10 real estate professionals to gather critical insights.
Directed the synthesis of research findings into actionable themes and value propositions.

Innovation Facilitation

Organised design sprints to iterate product concepts and validate desirability.
Oversaw the creation of a clickable prototype to demonstrate potential solutions.

Stakeholder Engagement

Facilitated collaboration between CoreLogic teams and external partners.
Communicated key milestones and findings to stakeholders to ensure alignment.

Product Validation

Guided the testing of eight concepts, focusing on feasibility, desirability, and viability.
Developed a business case outlining the projected return on investment (ROI) and technology requirements.

Roadmap Development

Prioritised MVP features and created a clear delivery roadmap to accelerate value realisation

Empowering agents with high quality leads