Hooked: How to Build Habit-Forming Products
This skill teaches Nir Eyal's Hook Model—the four-phase cycle that turns casual product use into automatic habit. You bring a product or feature you want users to repeat. The skill applies Hook diagnostic triage to identify exactly where the loop breaks, produces a Hook Canvas showing all four phases, and gives specific advice for strengthening the weakest link.
“I've been trying to apply Hooked: How to Build Habit-Forming Products but I'm not sure where to start.”
Apply the Hook Model to design habits that stick. Map triggers, actions, rewards, and investment in one conversation.
Unable to analyze - no candidate information provided
Apply the Hook Model to design habits that stick. Map triggers, actions, rewards, and investment in one conversation.
- Your situation or challenge related to Hooked: How to Build Habit-Forming Products
- Product managers can diagnose why retention is failing and fix the specific Hook phase that's broken instead of adding features
- Founders building habit-forming products can map their entire product against the four-phase cycle before shipping
- Designers optimizing engagement can identify internal triggers and reduce action friction using B=MAT framework
- Marketers competing against entrenched habits can reverse-engineer competitor Hooks to find unoccupied emotional triggers
Watch the methodology work.
Two specimens from a single real session: the full transcript and the skill answering live in the channel where the work happens.
The same skill, where the work happens.
No new app to learn. The methodology runs over the WhatsApp Business API, so the answer lands as a reply in the thread you’re already in — same rigour, zero context-switch.
What it does, specifically.
Each capability is a distinct move drawn straight from the source methodology — not a generic assistant guessing.
Hook Diagnostic Triage: Four yes/no questions that identify which phase (Trigger, Action, Reward, Investment) is breaking your habit loop
Hook Diagnostic Triage: Four yes/no questions that identify which phase (Trigger, Action, Reward, Investment) is breaking your habit loop
Hook Canvas artifact: Visual map of your complete habit architecture showing what's designed, what's missing, and loop strength rating
Hook Canvas artifact: Visual map of your complete habit architecture showing what's designed, what's missing, and loop strength rating
B=MAT action analysis: Diagnose why users aren't taking your core action—cuts through motivation talk to find the real ability bottleneck
B=MAT action analysis: Diagnose why users aren't taking your core action—cuts through motivation talk to find the real ability bottleneck
Variable reward architecture: Find what makes reward unpredictable (Tribe/Hunt/Self) and why predictable rewards kill dopamine spikes
Variable reward architecture: Find what makes reward unpredictable (Tribe/Hunt/Self) and why predictable rewards kill dopamine spikes
Manipulation Matrix: Assess ethical positioning before building—distinguishes facilitators from dealers using two questions
Manipulation Matrix: Assess ethical positioning before building—distinguishes facilitators from dealers using two questions
Graded before it shipped.
Every skill is scored against independent scenarios for methodology fidelity before it goes live — not vibes, a rubric.
Hook Canvas
Visual map of the complete Hook cycle showing each phase with specific implementations and identified gaps
Internal Trigger Map
The emotional journey from surface behavior to core emotional trigger using 5 Whys methodology
Habit Zone Assessment
2x2 matrix plotting perceived utility vs frequency of use with habit zone threshold marked
Grounded in the original work.
Every answer traces back to a real source and the practitioner who wrote it — not a secondhand summary. Here is the source of record.
being good
Cannot evaluate without candidate information. The evaluation stage was called but no source_content.json or other input files were provided to indicate which expert/methodology should be analyzed. This appears to be a pipeline setup issue where the discovery stage output was not properly passed to the evaluation stage.
Put it to work.
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