Glossary for AI-first product builders

Plain definitions across customer feedback, priorities and specs. Each term says what it means, and what changes about it when the product is built with AI.

A

Acceptance criteria Ambient Automated Autonomous Autonomous product intelligence Answer engine optimization (AEO)Answer engine AI assistants

B

Behavior Business intelligence

C

Close the loop Codebase-aware spec Compound signal Continuous discovery Customer churn Customer feedback Customer feedback loop Customer feedback management Customer feedback prioritization Customer insights Customer interview Customer satisfaction score (CSAT)Customer retention

D

Definition of done

F

Feature prioritization Feature prioritization framework Feature request Feedback management Feedback polarization

G

Generative engine optimization (GEO)

H

Human in the loop

J

Jobs to be done

K

L

M

Manual Minimum viable product (MVP)MCP server Model Context Protocol (MCP)MCP client MoSCoW method

N

Net promoter score (NPS)North star metric

P

PRD (Product Requirements Document)Product backlog Product development Product discovery Product intelligence graph Product management Product memory Product requirements Product roadmap Product spec Product-market fit Problem statement Product analytics Product strategy

R

Raising the ceiling Raising the floor Release notes RICE framework

S

Shipped notification Signal strength Spec-driven development Scope creep

T

The signal-to-decision gap The silent majority Translation layer The voice-behavior gap

U

V

Voice Voice of Customer (VoC)Voice of Market (VoM)

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