Knight Frank · 2025
Designed for real estate brokers managing shared inventory across multiple regions.
Background
They asked for dashboards. What they actually needed was clarity.
The initial ask was to design dashboards for sales, supply, and admin teams.
As discussions progressed, it became clear the real issue wasn’t dashboards, but how inventory was being managed across teams.
The Real Shift
Ownership was the real problem
Inventory silos, overlapping sales outreach, and limited visibility all pointed to one gap:
No clear ownership meant multiple agents contacted the same client, causing internal conflicts and poor client experience
This shifted the problem from UI design to system design.
Impact
Defined a single source of truth for commercial real estate operations
Eliminated Duplicate Outreach
Single lead ownership per sales executive
Increased Inventory Visibility
One centralized source of truth across teams
Structured Accountability Across Roles
Ownership, visibility, and control were clearly defined
How I Approached The Problem
I treated inventory as a system, not a screen
Instead of designing dashboards in isolation, I stepped back and asked:
Core Decision 1
Inventory became the single source of truth
Ensured consistency and reduced coordination overhead
Made dependencies explicit
Required early agreement on ownership rules
Core Decision 2
Lead ownership was mandatory, not optional
Eliminated duplicate client outreach by enforcing single ownership
Improved accountability and client experience
Core Decision 3
Visibility scaled with responsibility
Supply Team — Inventory Ownership
Full visibility into properties & inventory. No access to leads or other teams.
Sales Team — Assigned Workflows Only
Access to assigned leads, clients, meetings and tasks.
Managers — Team-Level Oversight
View team performance, leads, inventory, approvals and reports.
Admins — System-Wide Control
Complete platform visibility, user roles, settings and audit logs.
Exploring AI
AI was introduced only after system clarity — to reduce operational load, not define workflows
Once ownership and workflows were clear, I explored where AI could meaningfully reduce repetitive work—especially for sales and admin teams.
Used AI to:
Impact: Sales and admin teams saved 8-10 hrs/week on repetitive tasks, improved response time, and focused more on high-value activities.
Sales Experience
Designing sales around ownership, not volume
Optimized for:
Read-only inventory view
One owner per lead
Sales see only what they own
Clear next action, no guessing
Sales operated on ownership, not guesswork
Supply Experience
Supply managed inventory — not sales pressure
Optimized for:
Structured inventory entry
Availability & status updates
Supply see only what they own
Controlled tasks, fewer errors
Clean inventory ensured downstream reliability.
Client-Facing Experience
Clients saw clarity, not internal complexity
Optimized for:
AI-assisted intent capture
Direct contact with sales team
Accurate availability & property details
Clear information, no ambiguity
Clarity in system translated into trust for users.
Scalability Considerations
Designed to scale beyond day-to-day operations
Inventory, users, and approvals at a state level
Access control and visibility across regions
These roles ensured the system could scale across teams and regions without breaking ownership rules.
Signing Off!
Key takeaways
This project involved navigating ambiguity, evolving requirements, and aligning with stakeholders need.
Clarity Reduces Complexity
Defining ownership and visibility simplified decisions more than adding features ever could.
AI Should Remove Friction
AI added value when it reduced steps and effort—not when it tried to replace judgment.
System Thinking Aligned Stakeholders Before Anything Was Built
Even without final UI or development, the system thinking helped align stakeholders and direction.
This project reinforced my approach: solve for systems first — interfaces follow.