Fast, On Time, or Fully Utilized? Choosing What to Optimize in Engineering Delivery

Fast, On Time, or Fully Utilized? Choosing What to Optimize in Engineering Delivery

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss a leadership conversation where three senior stakeholders wanted different outcomes from engineering: delivering faster, maximizing utilization, or delivering on time—highlighting unclear norms and expectations in the software delivery system. The hosts argue you can't optimize all three at once, note that maximum utilization is a poor goal (systems perform better below 100% utilization), and debate prioritizing speed versus schedule. Scott favors being on time with about 80% accuracy to avoid sandbagging and support business dependencies like launches, while Brad generally prioritizes going fast, especially in early-stage or learning-focused contexts, with "within reason" expectations. They add an unspoken distinction between innovation organizations and manufacturing organizations, and observe that projects often go off schedule due to unclear requirements, shifting scope, or faulty early assumptions.

00:00 Cold Open 01:04 Velocity Tradeoffs Debate 03:07 On Time 80 Percent Rule 03:56 Innovation Versus Manufacturing 05:03 Why Utilization Misleads 06:43 Stage Dependent Speed 09:32 Quality And Launch Systems 11:56 One Project Always Late 12:51 Why Projects Derail 14:41 Front Load The Hard Parts 15:50 Wrap Up And Outro

Resources:

#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCTOs #Podcast #CTOs #CTOPodcast #ChiefTechnologyOfficer #Technology #Engineering #SoftwareDevelopment #SoftwareEngineering #TechLeadership #EngineeringLeadership #EngineeringCulture #TechDebates #AI #AIAssistedCoding #AIAssistedProgramming #AIProgramming #AICoding #Velocity #Productivity #Utility #ResourceManagement #GoFast #GoFastBreakThings #ProductManagement #SpeedVsAccuracy #InnovationCulture #Innovation #EfficientTeam #Efficiency

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(94)

What Broke in Tech: Code Quality, AI Guardrails, and the Evolving Software Engineer

What Broke in Tech: Code Quality, AI Guardrails, and the Evolving Software Engineer

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub continue to recap Gergely Orosz's "State of the Tech Industry" talk and focus on what "broke" and "what'...

3 Nov 36min

The State of Tech in 2026: What Changed And What Didn't

The State of Tech in 2026: What Changed And What Didn't

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss a Pragmatic Engineer talk on the state of the tech industry in 2026, focusing on what changed an...

27 Okt 32min

The Human Needs in Augmented Coding: A Conversation with Kent Beck

The Human Needs in Augmented Coding: A Conversation with Kent Beck

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub interview software pioneer Kent Beck about his background (JUnit, test-driven development, extreme progr...

20 Okt 1h 9min

Preparing for the Worst: Tabletop Exercises, Unit Tests, and Everything In Between

Preparing for the Worst: Tabletop Exercises, Unit Tests, and Everything In Between

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss TaskRabbit's overnight AWS region migration from us-west-1 to us-west-2, describing the months o...

13 Okt 44min

Understanding The Fear: Adaptive Leadership in the AI Age

Understanding The Fear: Adaptive Leadership in the AI Age

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss growing fear about AI among engineers and managers, framing it as an "adaptive moment" requiring...

6 Okt 34min

Simplifying Tech Through Empathy and Understanding with Frank Bravo

Simplifying Tech Through Empathy and Understanding with Frank Bravo

In this episode of "How Many CTOs Does It Take?" podcast, host Brad Hefta-Gaub is joined by guest Frank Bravo, a Bay Area technologist who spent 30 years as CTO in local media, helping put a newspaper...

29 Sep 50min

Managing Skepticism: Balancing Tradition and Technology with AI

Managing Skepticism: Balancing Tradition and Technology with AI

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss how AI is changing software engineering referencing Kent Beck's idea that AI makes much existing...

22 Sep 49min

From Academia to Industry: Scott Hanson on the Future of AI and Edge Computing

From Academia to Industry: Scott Hanson on the Future of AI and Edge Computing

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub interview Scott Hanson, founder and CTO of Ambiq, a company focused on ultra-low-power chips for "intell...

15 Sep 45min

Populært innen Business og økonomi

stopp-verden
dine-penger-pengeradet
e24-podden
rss-penger-polser-og-politikk
lydartikler-fra-aftenposten
rss-borsmorgen-okonominyhetene
utbytte
rss-skravla-gar
rss-pa-konto
livet-pa-veien-med-jan-erik-larssen
tid-er-penger-en-podcast-med-peter-warren
finansredaksjonen
lederpodden
rss-neste-generasjon-med-emilie-stordalen
liberal-halvtime
stormkast-med-valebrokk-stordalen
pengepodden-2
pengesnakk
okonomiamatorene
morgenkaffen-med-finansavisen