惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Spread Privacy
Spread Privacy
大猫的无限游戏
大猫的无限游戏
F
Fortinet All Blogs
M
MIT News - Artificial intelligence
G
Google Developers Blog
Hacker News: Ask HN
Hacker News: Ask HN
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
H
Help Net Security
V
Visual Studio Blog
WordPress大学
WordPress大学
博客园 - 司徒正美
TaoSecurity Blog
TaoSecurity Blog
Webroot Blog
Webroot Blog
Hugging Face - Blog
Hugging Face - Blog
Application and Cybersecurity Blog
Application and Cybersecurity Blog
W
WeLiveSecurity
C
CERT Recently Published Vulnerability Notes
Y
Y Combinator Blog
S
Schneier on Security
Recent Announcements
Recent Announcements
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
宝玉的分享
宝玉的分享
T
Troy Hunt's Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 三生石上(FineUI控件)
Microsoft Azure Blog
Microsoft Azure Blog
N
News and Events Feed by Topic
A
About on SuperTechFans
小众软件
小众软件
K
Kaspersky official blog
Help Net Security
Help Net Security
V2EX - 技术
V2EX - 技术
P
Proofpoint News Feed
S
Secure Thoughts
IT之家
IT之家
云风的 BLOG
云风的 BLOG
N
Netflix TechBlog - Medium
The Register - Security
The Register - Security
I
Intezer
NISL@THU
NISL@THU
GbyAI
GbyAI
P
Privacy & Cybersecurity Law Blog
T
Threatpost
C
Check Point Blog
Forbes - Security
Forbes - Security
C
Cisco Blogs
AI
AI
Recorded Future
Recorded Future
F
Full Disclosure

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Your PM Retrospectives Are Lying to You
Tongshan · 2026-05-23 · via DEV Community

Tongshan

Every quarter, product teams hold retrospectives. Someone asks "what went well?" and "what didn't?" The team lists bullet points. Someone writes "we should communicate better." Everyone nods. Nothing changes.

The problem isn't the retro format. It's that you never defined what success looked like before the work started — so you can't actually evaluate anything now.

I've run product teams at iQIYI, NIO, and Alibaba. The retrospectives that mattered had one thing in common: a pre-written success criterion that existed before any work began. Every other retro was theater.

The retrospective trap

When you define success after seeing the results, you unconsciously fit the definition to the outcome. If engagement went up 5%, that was the goal. If it went down 5%, you pivot to "we learned a lot." The retro becomes a narrative exercise, not a learning exercise.

Real learning requires a pre-mortem question: "What would we need to see to know this worked?"

That question, answered before the sprint starts, is the only thing that makes a retrospective honest.

The four questions that fix retrospectives

Before any significant initiative, write answers to these four questions:

1. What is the decision we're making?
Not "build feature X." The actual decision: "Are we betting on engagement-led growth over acquisition-led growth this quarter?" Name it. A decision that can't be stated in one sentence is a decision you haven't made yet.

2. What does success look like — exactly, in advance?
One sentence. Measurable. Time-bound. Not "improve retention" but "increase D30 retention from 22% to 28% by July 15." If you can't write this before you start, you're not ready to start.

3. What's the killer assumption?
Every initiative rests on one belief that, if wrong, invalidates the whole effort. Find it. Name it. Write it down. "We're assuming that power users are churning because of the onboarding flow, not the core product." If that's wrong, no amount of onboarding optimization saves you.

4. When is the assumption review date?
Not the ship date — the date you'll check whether the assumption held. Six weeks post-launch, you open the document and ask: did the metric move? Did the assumption prove correct? This is the only retrospective question that matters.

What honest retrospectives look like

With pre-written criteria, your retro becomes a one-page debrief:

  • Did the metric hit the target? (Yes/No, with data)
  • Did the killer assumption hold? (Yes/No, with evidence)
  • What does this tell us about the next decision?

That's it. No "communication" bullet points. No vague learnings. Just a clear verdict on whether the bet you made was right, and what you now know that you didn't before.

The teams that compound the fastest aren't the ones that ship fastest. They're the ones that learn fastest — and learning requires knowing what you were trying to prove before you tried to prove it.

I built a complete 4-step decision framework around this: https://dcljoyful.gumroad.com/l/toPM