hebel. today · 14 November 20267 / 80
Career · Product Management Evolution
Product builders pivot from AI-generated outputs to user-centric judgment
Defining boundaries for agents. April Yang observes that AI agents often investigate irrelevant scenarios affecting only 0.1% of users, forcing engineers to manage unnecessary abstractions. To mitigate this scope creep, Yang mandates that teams…
From 7 newsletters · 1 min read · one thing to try
Defining boundaries for agents. April Yang observes that AI agents often investigate irrelevant scenarios affecting only 0.1% of users, forcing engineers to manage unnecessary abstractions (April Yang from 90% Confident). To mitigate this scope creep, Yang mandates that teams clearly define the target user, the critical path, and the specific outcomes before allowing agents to generate code (April Yang from 90% Confident).
Innovating on user experience. Granola captures meeting notes by letting users take their own notes while an agent transcribes in the background, rather than delegating the entire task to an AI (Ravi Mehta from Top 1% Builder with Ravi). Descript allows users to edit video by trimming words in a transcript, a method that keeps the user involved in deciding what matters while reducing the technical burden of a traditional timeline (UX Collective).
Refining product-market fit. Stay SaaSy reports that small teams of two people can now run skunkworks projects to test new market segments or integrations, flipping the traditional ROI calculation for high-growth businesses (Stay SaaSy). Linda Tong at Webflow narrows her focus to marketing teams at large companies, treating AI site builders as a feeder channel while prioritizing the ongoing governance and collaboration features that keep customers paying (Kyle Westaway from Founder Fridays).
Challenging data-driven assumptions. David Pereira notes that executives often set prescriptive goals, such as increasing sign-up rates by 20%, even when the underlying onboarding success rate remains poor (David Pereira from Untrapping Product Teams). Pereira argues that leaders must instead start with insights from the data to identify the actual blockers, rather than using AI to confirm the relevance of an idea already decided by opinion.
- Open product manager roles have reached a four-year high while engineering openings grew by only 2.5% over the past year (Kyle Westaway from Founder Fridays).
- Plaid provides financial context for ChatGPT to enable personalized answers to money questions through permissioned data access (TLDR Product).
Try today · 30 min
Define the boundaries for your next AI-assisted feature before implementation.
List the critical path and outside-scope items in your PRD.
You need
- Target user definition
- Critical path description
- List of out-of-scope scenarios
Steps
- Identify the primary user for the feature.
- Write down the exact goal the user is trying to accomplish.
- Map the critical path through the experience.
- Define what a successful outcome looks like.
- List three specific edge cases that are out of scope for this iteration.