Power signals in product design
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For most of modern tech history, we treated product development like a relay race.
Research ran the first leg, handing off insights to design. Design carried the baton for a while, then passed comps to engineering. PMs stood at the finish line, holding deadlines like stopwatches, trying to will the team across.
The problem? The baton was always dropped. Quarters ended, roadmaps slipped, and the customer was still waiting.
AI ended the relay.
The best product teams today don’t run in lanes—they collide. They are small, cross-functional groups where discovery and delivery happen in the same hour. The model sits in the room. Prototypes ship before the meeting would’ve even started. Instead of more headcount, they measure time to learning. Because learning compounds—and compounding is the only advantage that scales.
The shift isn’t abstract. It’s visible in how roles themselves are collapsing:
1. Discovery → Delivery
LLMs and synthetic data collapse the gap between “what if” and “working stub.” Instead of gathering requirements, you interrogate reality with a prototype. The demo is the research.
2. Research → Telemetry
Surveys and usability tests aren’t dead, but they’re no longer gates. You ship a guardrailed experiment to a small cohort and let logs, transcripts, and outcome metrics do the talking. Questions turn into dashboards.
3. Design → Code
Designers now produce component-accurate, testable flows. Engineers evolve into performance compositors, concerned less with pixels and more with latency budgets, failure modes, and resilience. Design and engineering stop orbiting separately.
4. PM → Market
Great PMs collapse planning into building: a two-paragraph PR/FAQ, one metric that matters, and a weekly gut check—“did anyone’s life actually get better?” The plan is short because the loop is fast.
The modern team is lean but powerful:
Systems Designer: Owns flow, states, prompts, guardrails, the demo.
Product Engineer: Owns runtime, safety, scale.
Model (LLM suite): Generates options, critiques decisions, enforces style.
Leadership’s job isn’t to own strategy anymore. It’s to own acceleration: time to first pilot, time to measurable impact, time to kill.
Forget the bloated quarterly planning sessions. The new rhythm is simple:
Monday: Ship a real change to a small cohort.
Tuesday: Review instrumentation—latency, success rates, safety.
Wednesday: Seven-minute demo; decide double-down, pivot, or delete.
Thursday: Roll learnings into a new stub; expand cohort if signal is strong.
Friday: One slide: what we believed, what we learned, what we’ll try next.
This is how you learn in weeks what used to take quarters.
Directors become Directors of Acceleration: measured by how quickly hypotheses become pilots, and how ruthlessly bad ideas are killed.
Principal ICs become Systems Designers of Record: guardians of latency budgets, failure modes, and defaults that make good choices automatic.
Forget the endless slide decks. The artifacts that matter now are:
A seven-minute demo (three wow moments).
A guardrail spec (privacy, hallucination tests, offline plan).
One metric that matters (minutes saved, FCR, AHT, CSAT).
A 30/60/90 (how to scale or kill).
Everything else is noise.
The org didn’t shrink because headcount is bad. It shrank because learning is the only compounding asset in product work—and AI pays interest to the teams that learn fastest.
Ship. Measure. Decide.
That’s the job now.