Product velocity β just faster shipping.
In this episode of Everything Product, we sit down with Laura Taco, CTO at DX, to break down what engineering productivity really means β and why most orgs get it completely wrong.
We go deep into:
πΉ Why βjust ship fasterβ is a broken mindset
πΉ The Core 4 Framework: Speed, Effectiveness, Quality, Innovation
πΉ Common traps: flashy dashboards, tool overload, data without literacy
πΉ How AI tools (like GitHub Copilot) are changing productivity metrics
πΉ How to measure and actually act on developer productivity signals
Meet Hosts:Β
Srinath - [https://www.linkedin.com/in/skotela/]
Phani - [https://www.linkedin.com/in/phanivuyyuru]
Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ Β [https://mobile.twitter.com/Sidsaladi]
π Here are more resources for you
π The Ultimate PM Launch Pad - Blast Off Your Career Now! π
https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt
π§° Master the PM Toolkit - Equip Yourself for Success! π§°
https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE
β‘οΈ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! β‘οΈ
https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o
Whether you're a Product Manager, Engineering Leader, or Startup CTO, this conversation will change how you think about speed, scale, and building high-velocity teams.
π§ Featuring:
Laura Taco (CTO, DX)
Phani Vuyyuru & Srinath Kotela (Hosts)
π Resources + Core 4 survey β in the show notes
Timestamps:
0:00 β Intro: Who is Laura Taco & What is DX
2:00 β How Laura got into engineering productivity
4:30 β Why Engineering Productivity β More PRs
6:00 β The true definition: Removing Friction
8:00 β Why Product Velocity is a Product + Engineering Problem
10:30 β Misuse of βSpeedβ and the velocity-direction trap
12:00 β Aligning Product & Engineering: Avoid the canoe problem
14:30 β Why teams measure but don't improve
17:00 β The real issue: data literacyΒ dashboards
19:30 β Why PMs can lead data literacy efforts
21:00 β Should metrics be prescriptive or narrative-driven?
23:00 β Who owns engineering productivity in an org?
25:00 β The Core 4 Framework explained
28:00 β Speed: How to use (and not misuse) PR throughput
30:00 β Effectiveness: Developer Experience Index (DXI)
32:00 β Quality: Why Change Failure Rate still matters
33:00 β Innovation Ratio: What % of your time builds the future
35:00 β Internal benchmarking vs. toxic team comparisons
37:00 β How to interpret industry benchmarks
39:00 β Deploying Core 4 in 2 weeks, not 6 months
41:00 β How to combine qualitative + quantitative signals
43:00 β AI & Dev Productivity: The real impact (not hype)
47:00 β Stack trace analysisΒ Codegen for AI productivity wins
49:00 β Final advice: Cultivate an experimental mindset
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