Compass.
A business strategy project recommending that Compass focus on agent productivity and listing success rather than relying only on scale, acquisitions, or agent count growth.
Scale alone did not prove durable advantage.
Compass had built national scale, brand recognition, and a large agent network. But in residential brokerage, much of the value still sits with high-performing agents who control client relationships, listings, referrals, pricing judgment, and local credibility.
The strategic problem was turning Compass's agent-centered platform into measurable productivity gains instead of competing mainly through headcount growth, low fees, or consumer search traffic.
What I did.
Reframed the problem
Shifted the question from how Compass could grow bigger to how it could make high-performing agents more productive.
Mapped the economics
Broke down brokerage revenue, agent splits, and support costs to see where value accrues.
Defined the strategic pressure
Identified Compass's dependence on high-performing listing-side agents as the core constraint.
Built the recommendation
Proposed a focused 12-month Manhattan pilot of an Agent Intelligence System for top listing teams.
The strategy shift.
Scale growth
- —More agents
- —Higher support cost
- —Diluted focus
- —Weak productivity proof
Prioritize high-performing listing-side agents
Productivity growth
- +Listing support
- +Better seller presentations
- +Higher listing win rate
- +More GCI per productive agent
KPI stack.
The single number that proves productivity is improving rather than headcount.
- ·Listing win rate
- ·Agent retention
- ·Referral volume
- ·Tool adoption
- ·Support cost per productive agent
This project shows how I turn a broad company strategy problem into a focused recommendation with clear tradeoffs, metrics, and business logic. The work moves past a generic "use AI" answer and frames the strategy around agent productivity, economics, and measurable execution.
NotesAcademic strategy project about Compass, Inc. Not sponsored by Compass, and I did not work for the company. Based on public company analysis and course project work.