{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a1616cf8ff41815a8a14820?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Agent Product Analytics: What Your Dashboard Can't See","description":"<p>For deeper playbooks and analysis: <a href=\"https://natesnewsletter.substack.com/\" rel=\"noopener noreferrer\" target=\"_blank\">https://natesnewsletter.substack.com/</a></p><p><br></p><p>What's really happening when your user is no longer just clicking, but delegating work to an agent?</p><p><br></p><p>The common story is that agent failures are engineering incidents — but the reality is that many of them are product analytics failures hiding inside the agent run.</p><p><br></p><p>In this episode, I share the inside scoop on why product teams need a new analytics layer for agent products.</p><ul><li>Why chat logs are not enough</li><li>How agent runs replace sessions as the unit of behavior</li><li>What Salesforce's Agent Work Units signal about SaaS metrics</li><li>Where completion, acceptance, and correction rates fit</li><li>Why product analytics becomes the rudder for agent autonomy</li></ul><p><br></p><p>Operators, product leaders, and builders should care because agents move too fast for old dashboards. If you cannot see intent, tool calls, permissions, corrections, completion, and trust in one run-level view, you are steering with missing instruments.</p><p><br></p><p>Subscribe for daily AI strategy and news.</p><p><br></p><p>Hosted on Acast. See acast.com/privacy for more information.</p>","author_name":"Nate B. Jones"}