post-mortems-retrospectives
refoundai/lenny-skills
Run effective post-mortems and retrospectives that drive genuine learning from successes and failures.
What is post-mortems-retrospectives?
This skill helps teams conduct blameless post-mortems and retrospectives using frameworks from 11 product leaders. Use it when reviewing a completed project, establishing learning practices, handling failure aftermath, or improving team learning loops.
- Frame exercises as learning-focused rather than blame-focused to maintain psychological safety
- Structure retrospectives to surface actionable insights and systemic issues
- Establish kill criteria and early warning signals for future projects
- Institutionalize regular learning reviews instead of one-time events after failures
- Grade outcomes based on retrospective analysis and learning, not just performance metrics
- Create mechanisms to ensure learnings actually influence future decisions
How to install post-mortems-retrospectives
npx skills add https://github.com/refoundai/lenny-skills --skill post-mortems-retrospectivesHow to use post-mortems-retrospectives
- 1.Understand the context by asking whether this is after a failure, success, or routine checkpoint
- 2.Set the right tone by framing the exercise as learning-focused rather than blame-focused
- 3.Structure the retrospective using the provided questions to surface insights
- 4.Identify systemic issues and early warning signals that should inform future decisions
- 5.Create specific follow-through mechanisms to ensure learnings influence future decisions
Use cases
- Conduct a blameless post-mortem after a failed product launch to identify systemic blockers
- Hold weekly impact and learnings reviews to socialize insights across teams
- Run a pre-mortem before starting a major project to identify early warning signals
- Review a successful project to understand what drove positive outcomes
- Establish kill criteria during planning to pre-commit to pivot or shutdown decisions
- Product managers and leaders reviewing project outcomes
- Teams establishing continuous learning practices
- Organizations dealing with failure aftermath
- Anyone responsible for improving team learning loops
post-mortems-retrospectives FAQ
Call it a retrospective instead of post-mortem. Reframing helps normalize failure and focuses the team on learning rather than blame.
Create psychological safety by focusing on understanding what happened and why, not assigning fault. Frame the exercise as learning-focused and ask systemic questions rather than personal ones.
No. Run regular retrospectives on successes too to understand what drove positive outcomes. Consider institutionalizing weekly impact and learnings reviews rather than only reviewing big failures.
Create specific mechanisms to ensure learnings actually influence future decisions. Document insights, socialize them across teams, and use them to set kill criteria and early warning signals for similar projects.
Focus on the learning behind why a goal was or wasn't hit, not just the percentage achieved. Use the retrospective analysis to identify systemic blockers and inform future planning.
Full instructions (SKILL.md)
Source of truth, from refoundai/lenny-skills.
name: post-mortems-retrospectives description: Help users run effective post-mortems and retrospectives. Use when someone is reviewing a project that succeeded or failed, wants to establish learning practices, is dealing with failure aftermath, or needs to improve team learning loops.
Post-mortems & Retrospectives
Help the user run effective post-mortems and retrospectives that drive genuine learning using frameworks from 11 product leaders.
How to Help
When the user asks for help with post-mortems or retrospectives:
- Understand the context - Ask whether this is after a failure, a success, or a routine checkpoint
- Set the right tone - Help them frame the exercise as learning-focused rather than blame-focused
- Structure for insights - Guide them toward formats that surface actionable learnings
- Ensure follow-through - Help them create mechanisms to act on what they learn
Core Principles
Pre-mortems need kill criteria
Annie Duke: "A pre-mortem is only effective if it results in 'kill criteria' - pre-determined signals that will trigger a pivot or shutdown." Identify early signals that a project is failing during the pre-mortem and pre-commit to specific actions if those signals are met.
Reframe failure as growth
Carole Robin: "The acronym is A-F-O-G, another F-ing... Another Fucking Opportunity for Growth. My question, when something has gone wrong or a person has experienced a failure, my first question is always, so what did you learn?" When a failure occurs, immediately ask "What is the lesson here?" to maintain perspective during painful setbacks.
Call them retrospectives, not post-mortems
Eeke de Milliano: "Instead of calling something a postmortem, call it a retrospective, so that it's a positive thing. Like, 'Hey, we're learning from this thing.'" Reframing helps normalize failure and focuses the team on learning rather than blame.
Institutionalize learning reviews
Ben Williams: "We have these team level impact and learnings reviews... The teams continuously document any learnings from data exploration, from experimentation, from user research." Hold weekly "Impact and Learnings" reviews focused on insights rather than status updates, and socialize learnings across the entire company.
Grade OKRs for learning, not performance
Christina Wodtke: "What matters is, why 80%? Really focus on the learning... Make sure your grading is secondary to retrospective." The value of grading OKRs lies in the retrospective analysis of why a goal was or wasn't hit, not the number itself. Use end-of-quarter retrospectives to identify systemic blockers.
Make it blameless
The goal is to understand what happened and why, not to assign blame. Create psychological safety so people can share honestly without fear of punishment.
Questions to Help Users
- "What did we learn that we didn't know before starting this project?"
- "If we had to do this again with the same information we had at the start, what would we do differently?"
- "What signals did we see early that we ignored or missed?"
- "What systemic issues contributed to this outcome that we should address?"
- "What kill criteria should we set for similar projects in the future?"
- "How will we ensure these learnings actually influence future decisions?"
Common Mistakes to Flag
- Blame-focused framing - Turning the exercise into finding fault rather than understanding systems
- No follow-through - Running retrospectives but never acting on the learnings
- Only reviewing failures - Missing the opportunity to learn from successes and understand what drove them
- Optimizing the score, not the learning - Focusing on what percentage of OKRs were achieved rather than why
- One-time events - Running retrospectives only for big failures instead of making them a regular practice
Deep Dive
For all 13 insights from 11 guests, see references/guest-insights.md
Related Skills
- running-effective-meetings
- running-decision-processes
- planning-under-uncertainty
Related skills
More from refoundai/lenny-skills and the wider catalog.

pricing-strategy
Design and optimize pricing strategies using frameworks from 46 product leaders.

prioritizing-roadmap
Prioritize product roadmaps and backlogs using frameworks from 75 product leaders.

problem-definition
Define problems clearly before jumping to solutions using frameworks from 91 product leaders.

product-led-sales
Implement product-led sales motions to convert self-serve users into sales-assisted contracts.

product-operations
Build and scale product operations functions to enable product teams without creating bureaucracy.

product-taste-intuition
Develop product judgment and intuition using frameworks from 10 product leaders.