Building comparison
head to head
ElizavsGone Home
Neither is harder. They score identically on all four axes, so the difference between them is in kind, not degree.
Eliza
Optimization · Light / Casual
A quiet narrative about an AI therapist app and the counsellor who voices it, asking what meaningful help looks like.
Gone Home
Optimization · Light / Casual
A first-person exploration about returning to an empty family home.
Eliza leans Optimization (Light / Casual); Gone Home leans Optimization (Light / Casual).
ElizaGone Home
Axis by axis
Execution0 vs 0
Same score on execution - which means the number cannot separate them. The difference is in what each one asks of you.
Eliza
Pure reading; no inputs beyond advancing text
Gone Home
Pure walking and inspection.
Reads0 vs 0
Same score on reads - which means the number cannot separate them. The difference is in what each one asks of you.
Eliza
No opponent or adaptive system
Gone Home
No opponents.
Variance1 vs 1
Same score on variance - which means the number cannot separate them. The difference is in what each one asks of you.
Eliza
Minimal branching; story is nearly linear
Gone Home
Notes and items are fixed.
Optimization2 vs 2
Same score on optimization - which means the number cannot separate them. The difference is in what each one asks of you.
Eliza
No systems to optimise; experience is authored and fixed
Gone Home
Order of discovery hardly matters.
A matching score does not mean a matching test. Two games can both sit at 10 on execution and demand completely different things of you - which is why the reasoning above matters more than the number beside it.