hebel. today · 7 November 20269 / 74

Career · Product Management Evolution

Product teams shift from feature delivery to decision architecture

Product teams now face a bottleneck in strategic selection rather than engineering output, as organizations like Dazzle AI report that 90% to 100% of code is generated by AI. To prevent the production of…

Product teams now face a bottleneck in strategic selection rather than engineering output, as organizations like Dazzle AI report that 90% to 100% of code is generated by AI (Ollie Forsyth from NEW ECONOMIES). To prevent the production of unneeded noise, Kevin Payne advises teams to adopt a four-decision sequence—target, destination, support, and distribution—before commissioning any AI-generated asset (Kevin Payne from Growth Guides). By defining the specific buyer, the demand, and the evidence supporting a feature first, teams ensure that AI production serves a validated business goal. This transition requires product managers to act as value maximizers who challenge AI-generated briefs, as seen when Stefania Barabas parked a Substack export feature after realizing it lacked a codebase and sufficient user interest (Stef's Dev Notes).

Try today · 30 min

Draft a one-page Demand-to-Distribution brief for your next feature.

Start with the buyer and the problem, not the code.

You need

  • Target buyer description
  • Demand/Problem statement
  • Evidence/Data supporting the need
  • Destination URL
  • Next action for the user

Steps

  1. Identify the specific buyer and the problem they face.
  2. List the evidence or customer language supporting this demand.
  3. Define the destination page where the user will interact with the feature.
  4. Specify the next action you want the user to take.
  5. Write down the first unresolved dependency before starting any production.
LinkedIn X

Sources

  1. Ollie Forsyth, NEW ECONOMIES ✎ Written by a personMarissa Mayer discusses how Dazzle AI manages the shift toward 100% AI-generated code and the resulting focus on product taste.

  2. Kevin Payne, Growth Guides ✎ Written by a personKevin Payne outlines a four-decision sequence to ensure AI production speed serves a defined buyer demand.

  3. Stef's Dev NotesStefania Barabas shares how she validates feature requests by questioning the brief before building anything.

  4. Dr Teodora Szasz, Standout Systems by Teodora ✎ Written by a personTeodora Szasz provides a template for documenting the reasoning behind AI-assisted decisions to avoid knowledge loss.

  5. David Pereira, Untrapping Product Teams ✎ Written by a personDavid Pereira explains how he maintains his authentic voice by creating specific AI skills for tone and review.

  6. Hands-on Agile by Stefan Wolpers AI…Stefan Wolpers details how to conduct a break-even test to measure the actual productivity gains from AI delegation.

Get this every morning, for your goal.

Tell Hebel your goals and when you want it. Every morning it reads 20,000 newsletters and writes your paper, with one small thing to do today. Free during beta.

Start my paper →

More in Career

Managers pivot from fixing problems to building team capacity

Synchronizing the executive network for deep work

Dormant ties outperform new contacts

Define your professional muscle

Documenting impact replaces waiting to be chosen

Sync-first teams build trust while async work scales output

Product Management Evolution yesterday

Product teams formalize oversight for agent-driven workflows

Sign in to Hebel first

Likes, your collection and done Hebel need an account. We email you a six digit code; no password.