Training Engagement Engine — applies Nir Eyal's Hook Model + Brendan Kane's Pattern Interrupts to make EO training itself more engaging and teach founders how to build engaging products. Triggers: 'make training engaging', 'engagement mechanics', 'hook model', 'pattern interrupt', 'stop the scroll', 'retention', 'habit loop', 'variable reward'. Use when: designing training flow engagement, adding pattern interrupts to content, evaluating product stickiness, improving completion rates, or teaching founders engagement frameworks. Do NOT trigger for: campaign content (signal-to-trust-gtm), outbound sequences (outbound-orchestrator).
Applies behavioral science and engagement frameworks to both the EO training experience AND teaches founders how to build engaging products/content.
The Hook Model creates habit-forming products through 4 stages:
TRIGGER (What brings them back?)
ACTION (What's the minimal next step?)
VARIABLE REWARD (What's the unpredictable payoff?)
INVESTMENT (What increases stored value?)
Contrarian Take: "Everything you know about [topic] is wrong"
Data Disruption: "73% of MENA founders fail because..."
Behind-the-Curtain: "Here's what actually happens when..."
Challenge/Dare: "I bet you can't do this in 72 hours"
Story Hook: "Last week, a founder in Dubai told me..."
The EO conversational assessment has a critical drop-off zone in Rounds 5-8 (Pain & Pleasure deep dive). Solutions:
Pattern Break Every 10 Minutes:
Variable Reward Injection Points:
Investment Signaling:
When this skill is invoked:
For training engagement: Review the specific training module/round and apply Hook Model + Pattern Interrupts to increase engagement. Output: specific insertion points, hook scripts, reward mechanics.
For founder teaching: Generate a Hook Model worksheet and Pattern Interrupt practice set customized to the founder's product/ICP. Output: completed Hook Model canvas, 5 content hooks using Kane's formulas, content calendar with rotation.
For product evaluation: Apply Hook Model to evaluate whether a founder's product creates habit loops. Output: Hook score (0-4, one per stage), recommendations for missing stages.
WhatsApp-Native Engagement:
Relationship-Based Hook:
Product/Module: [name]
TRIGGER: How do users know to come back?
- External:
- Internal:
ACTION: What's the first behavior?
- Friction score (1-5):
- Required steps:
VARIABLE REWARD: What keeps them wondering?
- Type (Tribe/Hunt/Self):
- Is it unpredictable?
INVESTMENT: What makes it better over time?
- Stored value:
For sustained engagement, rotate which Hook Point formula appears:
This prevents habituation and maintains novelty.