Decision Lens
Should I move to a new city this year?
Capture cost of living, support network, career upside, and timing in one place so the move decision feels structured instead of overwhelming.
Model multiple city paths, compare second-order effects, and leave with a concrete plan for what to validate next.
CaptureMap buildsRecommended pathNext step
What are you deciding?
Move now?Delay move?Test first?
Compare lifestyle upside against total move cost.
Assumptions
COST
SUPPORT
TIMING
Should I move to a new city this year?
Move this quarter
Fastest path to new environment.
Useful if the upside is immediate.
Faster gains, more disruption.
Confidence: Medium
Short-term city test
Pilot the city before committing.
Validate fit with less irreversible risk.
Lower risk, slower final move.
Confidence: Medium-High
Locked
Stay and revisit later
Keeps current stability intact.
Best when timing is currently poor.
Low disruption, delayed upside.
Confidence: Medium
Defer (for now)i
Run a 30-day city test
Measure cost, commute, and routine fit.
Collect evidence before signing a lease.
Small test effort for better long-term decision quality.
- Price 3 target neighborhoods
- Track 2-week sample budget
Next step
Today: compare three neighborhoods with a realistic monthly budget.
Confidence: Medium-High
Aim: verify affordability and daily-life fit before relocating.
- Estimate total move cost
- Compare commute scenarios
- Set go/no-go criteria
Pilot data beats assumptions.
Related decision guides
Map this decision in your workspace
Bring your own constraints and assumptions, then compare paths in one place to move forward with less mental load.