Coffee Shop Location Comparison
This comparison matrix puts three potential coffee shop locations against the same practical criteria. Morning and weekend foot traffic indicate different demand patterns, monthly rent captures a cost difference, and parking records a customer-access factor. The rows are facts or observations rather than weighted scores, so the chart does not claim that one location is best. That distinction matters when an owner still needs to decide how much rent, commuter traffic, parking, nearby competitors, visibility, and lease terms matter. Use the matrix to make missing research visible, then convert it to a weighted decision matrix when the priorities are clear. Keep location facts current because local construction, transit changes, and lease offers can change the comparison.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
A small business owner is comparing location facts before assigning weights or committing to a lease.
Key decisions
- Options: Keep each possible location as a column.
- Demand: Separate morning and weekend traffic.
- Cost: Show rent without treating it as an automatic winner.
- Access: Include parking as a simple availability check.
When to reuse this
Use a feature matrix to gather comparable site facts before making a weighted location decision.
Frequently asked questions
Why use a location comparison matrix?
Does this matrix rank the sites?
What can I add?
Tweak it with chat, export PNG/SVG, or fork it for your own use case.