7.3
The Hook Model
A four-step loop — trigger, action, variable reward, investment — proposed as the mechanism by which a product becomes a habit.
Nir Eyal, Hooked (2014), on Skinner's schedules of reinforcement and Duhigg's habit loop
What it does
Puts user investment at the centre of retention design, which is a correct emphasis: stored value — data, content, followers, configuration — raises switching cost and does it with each use, so retention compounds instead of decaying. As a design prompt for the fourth step it earns its place.
When it breaks
The loop's own examples break it. Several of the most habit-forming products ever built work by removing variability rather than adding it, and others run investment before any reward at all, which reverses the stated order. It also cannot separate a habit the user wants from one they resent, offers no account of why a habit ends — the thing a retention team is actually trying to predict — and imports variable reinforcement from animal schedules without the boundary conditions that came with it.
Case
A review of Hooked in Behavioral Scientist works through the counter-examples: Google won by decreasing the variability of its reward, not increasing it, and Uber, PayPal, Google Maps and Dropbox are heavily habitual without variable rewards. Mint and Twitter both require investment before any reward is delivered, so their real loops run trigger → investment → reward, inverting the model's order.
Behavioral Scientist — An Incomplete Loop: A Review of Nir Eyal's Hooked ↗Diagram not yet drawn
The four-step loop drawn once as specified; beside it the same four boxes rewired to the sequences the model's own examples actually follow, with the variable-reward box bypassed entirely on the utility path.
In the wild
Unchecked · not part of the tier
What people have written about this tool in the last twelve months. A machine found these and nobody has read them. Everything above this line was checked by hand.
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