Product & Growth

108 frameworks, rules, and principles from 52 practitioners — ready to drop into any AI agent.

Jen Abel, Elena Verna, Anuj Rathi, Jason Fried, Jason Lemkin, and 47 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.

Generic AI

"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...

Gavel
Gavel knows your context
Growth PM, PLG SaaS, Series A, 10K signups/month

"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 Engagement

Where 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.

Framework

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 consensus
Rule

Spend 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

Heuristic

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

Ranked by how many frameworks each practitioner contributes to this pack

Jen Abel 7 Elena Verna 6 Anuj Rathi 5 Jason Fried 5 Jason Lemkin 5 Rahul Vohra 5 Bill Carr 4 Sean Ellis 4 Tristan de Montebello 4 Albert Cheng 3 Hamilton Helmer 3 Jason Cohen 3 Mike Maples Jr. 3 Nir Eyal 3 Richard Rumelt 3 Sarah Tavel 3 Seth Godin 3 Archie Abrams (Shopify) 2 Brendan Foody 2 Brian Balfour 2 Dhanji R. Prasanna 2 Elena Vera 2 Emilie Gerber 2 Ethan Evans 2 Geoffrey Moore 2 Jackson Shuttleworth 2 Jag Duggal 2 Krithika Shankarraman 2 Matthew Dicks 2 Michael Margolis 2 April Dunford 1 Archie Abrams 1 Bangaly Kaba 1 Benjamin Lauzier 1 Bob Moesta 1 Data-driven growth practitioners 1 Dylan Field 1 Elena Vera (Lovable) 1 Ethan Smith 1 Garrett Lord 1 Jake Knapp and John Zeratsky 1 Jason Droy 1 Most growth practitioners 1 Most traditional growth experts 1 Nicole Forsgren 1 Nikita Bier 1 Phyl Terry 1 Robby Stein 1 Some AI optimists 1 Some growth-stage companies 1 Traditional SaaS wisdom 1 Various VC-backed founders 1

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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