#productmanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #productmanagement, aggregated by home.social.
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Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
What is a North Star Metric (NSM)? ⭐
It’s the key metric a company uses to measure the core value its product delivers to customers. A strong North Star Metric can help startup teams align priorities, track meaningful progress, and focus on sustainable growth.
Read the beginner-friendly guide: https://startupglossary.blogspot.com/2026/08/what-is-north-star-metric.html
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Decision-making is the real bottleneck in product today. As building becomes "cheaper", choosing what to build is where we struggle. David Pereira explores how to categorise impact vs reversibility to pick the right method. Stop defaulting to slow consensus: https://dpereira.substack.com/p/the-art-of-simplifying-decisions #ProductManagement #Agile
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Here’s the thing that’s really changed though: a PRD assumes you already know the hill you’re planning to climb. You’ve picked the target, and now you’re aligning everyone to storm it together.
Exploration is the exact opposite. You don’t know the target yet, you’re trying to find it, running several bets at once with a million ideas in your head. Write the full doc now and you’ve set in stone a decision you haven’t earned yet.
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How do micro‑cameras and computer vision hardware change the product roadmap for earbuds and wearables? This article explores the technical constraints, UX opportunities, privacy implications, and market potential as audio devices move toward vision-enabled AI. Read more: https://wix.to/RkXAvW6
#AI
#WearableTech
#ComputerVision
#HardwareDesign
#ProductManagement -
Is your team building "reasoning silos"? As PMs use AI to synthesise data, we risk losing the "caveat debt"—that vital context only humans hold. We must ensure local AI experimentation becomes a shared organisational capability. Dive into the full analysis: https://www.productfocus.com/are-your-pms-building-reasoning-silos/ #ProductManagement #Agile
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Why You Should Reach Out Before You Need Something
Every product manager has colleagues they only hear from when something is needed. A requirements question. A priority negotiation. A resource request. The relationship exists entirely inside the boundaries of the work, and it stays there because nobody invested in anything outside of it. Product managers who want to build stronger cross-functional relationships often look for frameworks or stakeholder management techniques. Ben Chamberlain, Principal Product Manager at Mon Ami, takes a […]https://tpgblog.com/2026/08/24/why-you-should-reach-out-before-you-need-something/
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B2B procurement is shifting. As Maersk shows, AI agents now negotiate deals at machine speed, rendering per-seat pricing and relationship-based sales obsolete. We must architect for machine-readable surfaces and outcome-based models to stay visible.
Read the full analysis: https://www.oreilly.com/radar/when-your-buyer-is-an-ai-agent/
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Leadership is a team sport, yet many managers distance themselves when things get tough. I believe psychological safety starts with being on the same side of the table as your team, especially during high-stakes meetings. Build trust by closing ranks: https://staysaasy.com/the-same-side-of-the-table/ #Leadership #ProductManagement
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Preparing to talk to a security vendor? Cyber Company Profiles gives you an independent read of its market position and product strategy, built on the questions I kept asking as a buyer and product leader.
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Teams are racking up "prompt debt" by fighting model weights instead of working with them. Drew Breunig’s framing of this as technical debt is spot on—relying on hacks locks you into old models and kills innovation. Stop "vibe shipping" and start building: https://www.oreilly.com/radar/prompt-debt-and-fighting-the-weights/ #AI #ProductManagement
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As we delegate more to GenAI, we risk losing the critical thinking skills needed to spot its errors. Is speed worth the cost of deskilling? We must be deliberate about what we automate and what we keep sharp. Check out this guide on staying engaged: https://agilepainrelief.com/blog/skill-loss-and-gen-ai-make-it-a-choice-not-an-accident/ #ProductManagement #Agile
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AI lets us perform tasks outside our expertise, but can we actually judge the quality of the output? Itamar Gilad explores the "Danger Zone" where AI-driven overconfidence meets the Dunning-Kruger effect. A must-read for product leaders: https://itamargilad.com/artificial-competence/ #ProductManagement #AI
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Can LLMs really replace human users in A/B testing? Spotify's latest research suggests caution. While AI can predict outcomes, it often underestimates true impact. We must balance speed with statistical validity to avoid poor shipping decisions.
Read the full study: https://engineering.atspotify.com/2026/8/when-can-llms-replace-humans-in-a-b-tests
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Coding agents work for four reasons. Constrained environment. Fast unambiguous feedback. Cheap reversible mistakes. Judgment deferred to a human at review. Almost no other domain has all four, which is why most agent products are still demos.
#AI #AIAgents #SoftwareEngineering #ProductManagement #BuildInPublic
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I launched Cyber Company Profiles to analyze the market position and product strategy of hundreds of cybersecurity companies. Same questions, same scales, so you can compare vendors and go deep, instead of collecting one-off AI answers.
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Designing Flow Friction: The Core Capability of AI-Native Teams, by (not on Mastodon or Bluesky):
https://frontenddogma.com/posts/2026/designing-flow-friction/
#translations #ai #processes #productmanagement #engineeringmanagement
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AI agents excel at narrow tasks but stumble on open-ended research. New study shows they lack the judgement and creativity needed for true self-improvement. It's a vital reminder that human oversight remains the bottleneck in AI progress. See the evidence: https://www.normaltech.ai/p/ai-agents-cant-yet-do-open-ended #AI #ProductManagement
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What I’ve been reading (and watching) week ending 9 August https://jchyip.medium.com/what-ive-been-reading-and-watching-week-ending-9-august-1ab6b2dde859 #AI #DistributedSystems #science #engineering #SoftwareEngineering #cybersecurity #ProductManagement
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A defense manufacturing startup just raised $1.37 billion to build automated factories for military parts. Investors from Andreessen Horowitz to Morgan Stanley are betting robotics and automation, not just software, is the next big tech wave. If you are deciding where to build or invest, physical automation is heating up fast. Save it.
The new automated factory startup still can't do what?
#startups #venturecapital #saas #productlaunch #entrepreneurship #technews #productmanagement #innovation
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Zapier is raising the bar, moving from ad hoc AI use to a mandatory "AI fluency" for all hires. I love their focus on the "slope" of learning—it’s about continuous experimentation, not just knowing a tool. Check their V2 rubric to see the future of talent. https://zapier.com/blog/raising-ai-fluency-bar-in-hiring/ #AI #ProductManagement
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Building AI prototypes is easy, but relying on natural language for engineering leads to prompt debt. Over-engineered prompts slow iteration and lock you into specific models. Move from prose to metrics to build scalable, portable products.
See how to fix it: https://www.oreilly.com/radar/the-problem-is-prompt-debt/
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I recently filed a support case with #Okta in which I made three suggestions to them for minor but noticeable improvements to their SSO browser extension.
In response, the support rep told me I should submit my suggestions to the "ideas" section in the Okta Help Center.
This is annoying and dumb.
#tech #software #programming #ProductManagement #SoftwareQuality #TechIsShitDispatch (1/3) -
New analysis: Weaponized Compliance — an investigation into how extortionists pressured Apple to remove Telegram from the App Store, the methods involved, and Telegram’s response. Essential reading for product managers, compliance officers, and anyone tracking platform governance. Read more: https://wix.to/t30mRis
#TechPolicy
#Compliance
#CyberSecurity
#PlatformGovernance
#ProductManagement -
Bold IT bets need fair measures. Innovation accounting shows which experiments deserve to scale and which should stop. #InnovationAccounting #ITLeadership #DigitalTransformation #ProductStrategy #InnovationMetrics #DataDriven #CloudStrategy #AIinIT #TechGovernance #EnterpriseIT #ProductManagement #InnovationLeadership
https://www.linkedin.com/pulse/innovation-accounting-when-experiments-start-paying-rent-mohindroo--moxac -
As AI accelerates coding, the PM role is shifting into a 'barbell' shape. We must move away from managing the middle to mastering the fuzzy front end and go-to-market strategy. It's about outcomes over output. See why the bottleneck is moving: https://www.mironov.com/barbell/ #ProductManagement #AI
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Wrote something new: what #PragmaticMarketing is, and why "your opinion, although interesting, is irrelevant." (Their words, not mine!)
Spent years watching teams argue about features in a conference room, all of them sure they knew what customers wanted. Pragmatic Marketing is the antidote to that. It's a framework built on a simple, yet revolutionary 😉 idea: go TALK to the market instead of trusting your gut:
https://itguyeric.com/blog/what-is-pragmatic-marketing/
#ProductMarketing #ProductManagement #Marketing #B2B -
Everyone keeps saying code is cheap, but anyone looking at a recent Anthropic bill knows that is not quite right. 💸
The trick is that AI carries the technical load while humans bring the product judgment to move conversations forward.
However, do not ship AI creations straight to production without drawing a loud line between a quick hack and real engineering rigor. 🎯
👉 https://upsun.com/blog/pocs-are-cheap-ai-augmented-development/
#GenerativeAI #SoftwareEngineering #ProductManagement #AIAugmentedDevelopment