Awesome-pm-skills decision-frameworks
Structures difficult decisions using Annie Duke's probabilistic thinking and Ben Horowitz's hard decisions frameworks. Use when facing tough choices, applying expected value thinking, or reducing decision paralysis with regret minimization and pre-mortems.
install
source · Clone the upstream repo
git clone https://github.com/menkesu/awesome-pm-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/menkesu/awesome-pm-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/decision-frameworks" ~/.claude/skills/menkesu-awesome-pm-skills-decision-frameworks && rm -rf "$T"
manifest:
decision-frameworks/SKILL.mdsource content
Decision Architecture
When This Skill Activates
Claude uses this skill when:
- Facing difficult product decisions
- Choosing between multiple options
- Reducing decision paralysis
- Evaluating tradeoffs
Core Frameworks
1. Expected Value Thinking (Source: Annie Duke)
The Formula:
Expected Value = (Probability of Success × Value if Successful) - (Probability of Failure × Cost if Fails)
Example:
Decision: Build feature A or B? Feature A: - 70% chance of +$100K revenue = $70K - 30% chance of -$20K cost = -$6K - Expected value: +$64K Feature B: - 30% chance of +$500K revenue = $150K - 70% chance of -$50K cost = -$35K - Expected value: +$115K Choose B (higher EV despite lower probability)
2. Regret Minimization (Source: Jeff Bezos)
The Question:
"When I'm 80 years old, will I regret not trying this?"
Framework:
- Imagine yourself in the future
- Work backwards
- Minimize long-term regret
Action Templates
Template: Decision Matrix
# Decision: [Choice A vs Choice B] ## Expected Value ### Option A - Success probability: [X]% - Success value: [$Y] - Failure probability: [Z]% - Failure cost: [$W] - **Expected value:** [$EV] ### Option B - Success probability: [X]% - Success value: [$Y] - Failure probability: [Z]% - Failure cost: [$W] - **Expected value:** [$EV] ## Regret Minimization - If I choose A, will I regret not trying B? - If I choose B, will I regret not trying A? ## Reversibility - Can we reverse this? [Yes/No] - Cost to reverse: [Low/Medium/High] ## Decision: [Option] because [reasoning]
Quick Reference
🎲 Decision Checklist
Analysis:
- Expected value calculated
- Regret minimization applied
- Reversibility assessed
- Pre-mortem completed
Decision:
- Choice made
- Reasoning documented
- Success criteria defined
Key Quotes
Annie Duke:
"Life is poker, not chess. We're making decisions with incomplete information."
Jeff Bezos:
"Most decisions should probably be made with somewhere around 70% of the information you wish you had."