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Scaling w/ Agility

How can AI REALLY help you build better products faster?

Published 12 months ago • 1 min read

While the jury is out on the extent of impact GenAI and vibe coding will have on building mission-critical enterprise products…

Here are some thoughts on how AI can help turn the product flywheel:

  • Use GenAI to enable fuller-stack engineers and reduce tech debt
  • This will enable you to organize smaller product/outcome oriented teams
  • These teams can achieve more with fewer dependencies and streamlined processes (even without looking at opportunities to streamline product dev processes themselves by using AI)
  • GenAI can enable cheaper, faster experimentation / discovery (it compresses the truth curve by reducing the cost of pretotyping style product experimentation techniques)
  • Cheaper experimentation allows for more “shots” for the same innovation capacity.
  • Which leads to faster product market fit, more likely product/feature fit
  • As well as reduced toil related to “failure demand” (customer who misunderstand the product, product failures, etc.)
  • Freeing even more capacity to discover/explore/grow/reduce technical debt / improve the architecture

As this flywheel turns faster and faster, the product organization delivers better and better products and outcomes in an increasingly sustainable and resilient manner, with product organization operating systems that become simpler and more streamlined over time, rather than more complex.

What are some additional ways you’re leveraging GenAI to help turn the Product flywheel?

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Yours,

Scaling w/ Agility

A newsletter for leaders on how to think through scaling challenges and develop/grow organizations using product and agility principles and practices.

Are You Struggling to Scale Your Organization ? Need agility but dubious of process BS/dogma? I share reflective, pragmatic, principled takes on how to approach scaling your organization leveraging the essence (rather than theater) of product operating models, agile practices and frameworks, and business operating systems such as EOS and OKRs.

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