Daniel Foch
Research · Data science · Builder advisory

Housing strategy, built on evidence.

I combine an economics and real estate background with data science and AI tools to help builders make clearer calls on what to build, who it is for, where it should sit in the market, how it should be priced, and when each phase should launch.

B.Comm., Real Estate & Housing · MIT SA+P Data Science in Real Estate · Former Director of Economic Research

Economics + real estate
University of Guelph B.Comm.
Data science
MIT School of Architecture + Planning
Market research
Former Director of Economic Research
AI-enabled tools
Built for faster, broader analysis
Builder advisory

From macro conditions to launch decisions.

The work moves from the outside in: establish the economic reality, model the market and buyer, shape the offer, then build a release plan that can respond to new information.

01

Economic context

Rates, credit, employment, migration, policy, and the supply pipeline define the conditions a project has to work within.

02

Market + buyer model

Comparable projects, absorption, unit and product gaps, buyer cohorts, and price sensitivity show where demand is real.

03

Positioning + pricing

The competitive set becomes a practical product narrative, price architecture, and incentive strategy.

04

Phasing + feedback

Release cadence, unit mix, decision triggers, and updated scenarios keep the plan responsive as the market moves.

The research stack

Designed for decisions.

The tools make the work faster and broader. They do not replace accountability, market judgment, or a clear view of the decision at hand.

Economics

Start with fundamentals and constraints, then translate macro conditions into project-level implications.

Data science

Clean, combine, model, and visualize market data so the signal is visible—and the assumptions can be challenged.

AI tools

Accelerate synthesis, scenario work, and reporting while keeping judgment, sources, and accountability in view.

Selected developer work

Research in the room where projects get shaped.

Selected developers and industry organizations I have worked with on housing research, strategy, or market analysis.

Start with the decision

Bring the project, the assumptions, and the decision you’re stuck on.

  1. 1Choose a time that works.
  2. 2Bring the site, the key question, and the current assumptions.
  3. 3Leave aligned on the decision framework, data needs, and next-step scope.
Research & thought leadership

Research that survives public scrutiny.

A running archive of authored analysis, housing commentary, and verified citations across national and international media.

Media enquiries

Commentary on the Canadian housing market, data for a story, or a guest for your program — Daniel typically responds same-day.

daniel@valery.ca