home.social

#productmanagement — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #productmanagement, aggregated by home.social.

fetched live
  1. 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: productfocus.com/are-your-pms- #ProductManagement #Agile

  2. 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: productfocus.com/are-your-pms- #ProductManagement #Agile

  3. 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: productfocus.com/are-your-pms- #ProductManagement #Agile

  4. 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: productfocus.com/are-your-pms- #ProductManagement #Agile

  5. 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 […]

    tpgblog.com/2026/08/24/why-you

  6. 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 […]

    tpgblog.com/2026/08/24/why-you

  7. 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 […]

    tpgblog.com/2026/08/24/why-you

  8. 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 […]

    tpgblog.com/2026/08/24/why-you

  9. 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 […]

    tpgblog.com/2026/08/24/why-you

  10. 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: oreilly.com/radar/when-your-bu

    #AI #ProductManagement

  11. 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: oreilly.com/radar/when-your-bu

    #AI #ProductManagement

  12. 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: oreilly.com/radar/when-your-bu

    #AI #ProductManagement

  13. 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: oreilly.com/radar/when-your-bu

    #AI #ProductManagement

  14. 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: oreilly.com/radar/when-your-bu

    #AI #ProductManagement

  15. 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: staysaasy.com/the-same-side-of #Leadership #ProductManagement

  16. 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: staysaasy.com/the-same-side-of #Leadership #ProductManagement

  17. 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: staysaasy.com/the-same-side-of #Leadership #ProductManagement

  18. 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: staysaasy.com/the-same-side-of #Leadership #ProductManagement

  19. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  20. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  21. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  22. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  23. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  24. 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: oreilly.com/radar/prompt-debt- #AI #ProductManagement

  25. 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: oreilly.com/radar/prompt-debt- #AI #ProductManagement

  26. 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: oreilly.com/radar/prompt-debt- #AI #ProductManagement

  27. 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: oreilly.com/radar/prompt-debt- #AI #ProductManagement

  28. 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: oreilly.com/radar/prompt-debt- #AI #ProductManagement

  29. 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: agilepainrelief.com/blog/skill #ProductManagement #Agile

  30. 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: agilepainrelief.com/blog/skill #ProductManagement #Agile

  31. 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: agilepainrelief.com/blog/skill #ProductManagement #Agile

  32. 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: agilepainrelief.com/blog/skill #ProductManagement #Agile

  33. 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: agilepainrelief.com/blog/skill #ProductManagement #Agile

  34. 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: itamargilad.com/artificial-com #ProductManagement #AI

  35. 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: itamargilad.com/artificial-com #ProductManagement #AI

  36. 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: itamargilad.com/artificial-com #ProductManagement #AI

  37. 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: itamargilad.com/artificial-com #ProductManagement #AI

  38. 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: itamargilad.com/artificial-com #ProductManagement #AI

  39. 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: engineering.atspotify.com/2026

    #ProductManagement #AI

  40. 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: engineering.atspotify.com/2026

    #ProductManagement #AI

  41. 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: engineering.atspotify.com/2026

    #ProductManagement #AI

  42. 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: engineering.atspotify.com/2026

    #ProductManagement #AI

  43. 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: engineering.atspotify.com/2026

    #ProductManagement #AI

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. Find the flaw breaking trust in your AI feature: The five things trust is actually made of
    A simple trust audit that turns a vague "this feels off" into five specific, fixable gaps."

    Grab your seat → maven.com/p/672643/find-the-fl

    #AItrust #UserTrust #CX #ProductManagement #Masto #CranfordTeague

  50. Find the flaw breaking trust in your AI feature: The five things trust is actually made of
    A simple trust audit that turns a vague "this feels off" into five specific, fixable gaps."

    Grab your seat → maven.com/p/672643/find-the-fl

  51. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  52. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  53. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  54. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence

  55. 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.

    zeltser.com/cyber-company-prof

    #productmanagement #artificialintelligence