Product & Growth
108 frameworks, rules, and principles from 50 practitioners — ready to drop into any AI agent.
Albert Cheng, Anuj Rathi, April Dunford, Archie Abrams, Archie Abrams (Shopify), Most growth practitioners, and 45 more
What's in this pack
35
frameworks
20
rules
18
heuristics
27
principles
8
disagreements
Your AI can help you
- Designing acquisition loops and referral programs
- Optimizing activation and onboarding funnels
- Reducing churn with retention frameworks
See the difference
Generic AI gives you a checklist. Gavel gives you named experts who disagree — so you can decide who to follow.
"We're growing 5% MoM but need 15%. Do we optimize what's working or try new channels?"
Here are some things to consider:
- Analyze which channels drive the most efficient growth
- Optimize your best-performing acquisition funnel
- Experiment with 2-3 new channels in parallel
- Focus on improving activation and retention first
- Set clear growth targets for each channel
The right choice depends on your specific situation...
"We're growing 5% MoM but need 15%. Do we optimize what's working or try new channels?"
"Before chasing more growth, run the PMF survey: ask users "how would you feel if you could no longer use this product?" If less than 40% say "very disappointed," you do not have a growth problem — you have a product problem. No amount of channel optimization fixes weak retention."
Sean Ellis
Sean Ellis Test"You are stuck at Level 1 of the Hierarchy of Engagement. Your product needs to get better the more people use it — that creates the retention loop that compounds growth. Focus on the core action that makes your product stickier, not on acquiring more users who will churn."
Sarah Tavel
Hierarchy of EngagementWhere They Disagree
Ellis says measure PMF first — if retention is weak, more signups just means more churn. Tavel says build the engagement loop that makes the product improve with use, so growth compounds instead of leaking.
See exactly what you get
Real items from this skill pack. Every item includes expert attribution and source material.
Explore and Exploit Framework
Explore and Exploit Framework Exploration is like finding the right mountain to climb, exploitation is efficiently climbing it. Over-focusing on either leads to scattershot efforts or stagnation. Why it works: Prevents teams from either wasting resources on endless experimentation or getting stuck optimizing a suboptimal solution Common mistakes: - Over-exploring without ever committing to exploit - Exploiting too early before finding the best opportunity - Not having clear criteria for when to switch modes
Albert Cheng
Finding hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com)
high consensusSpend 95% of effort on innovation and only 5% on optimization
Spend 95% of effort on innovation and only 5% on optimization Context: AI growth playbook - the growth playbook for AI companies has fundamentally changed from optimization to reinvention
Elena Vera
The new AI growth playbook for 2026 | How Lovable hit $200M ARR in one year
If customers are leaving, the first question should be whether the product is delivering on its p...
If customers are leaving, the first question should be whether the product is delivering on its promise Context: Diagnosing growth stalls - churn indicates a fundamental problem with the product or its communication
Jason Cohen
The surprising advice from a founder who built 2 unicorns | Jason Cohen (WP Engine)
Frameworks from the people who've done it
Give your AI real expertise in product & growth
108 expert-sourced frameworks, rules, and principles. One .md file. Drop it in and your AI cites practitioners instead of guessing.
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