– Intro: Who is Laura Taco & What is DX2:00 – How Laura got into engineering productivity4:30 – Why Engineering Productivity ≠ More PRs6:00 – The true definition: Removing Friction8:00 – Why Product Velocity is a Product + Engineering Problem10:30 – Misuse of “Speed” and the velocity-direction trap12:00 – Aligning Product & Engineering: Avoid the canoe problem14:30 – Why teams measure but don't improve17:00 – The real issue: data literacy  dashboards19:30 – Why PMs can lead data literacy efforts21:00 – Should metrics be prescriptive or narrative-driven?23:00 – Who owns engineering productivity in an org?25:00 – The Core 4 Framework explained28:00 – Speed: How to use (and not misuse) PR throughput30:00 – Effectiveness: Developer Experience Index (DXI)32:00 – Quality: Why Change Failure Rate still matters33:00 – Innovation Ratio: What % of your time builds the future35:00 – Internal benchmarking vs. toxic team comparisons37:00 – How to interpret industry benchmarks39:00 – Deploying Core 4 in 2 weeks, not 6 months41:00 – How to combine qualitative + quantitative signals43:00 – AI & Dev Productivity: The real impact (not hype)47:00 – Stack trace analysis  Codegen for AI productivity wins49:00 – Final advice: Cultivate an experimental mindsetengineering productivity, developer experience metrics, Core 4 framework DX, Laura Taco podcast, product velocity explained, how to measure engineering productivity, PR throughput, change failure rate, AI in developer workflows, developer experience insights, DX platform CTO, product and engineering collaboration, product velocity metrics, Everything Product podcast, software engineering leadership, CTO metrics playbook, measuring product velocity