Module 2 • Lesson 16• 50 mins

Scope the AI MVP and Define 'Good-Enough' Against Real-World Baselines

Narrow AI MVP boundaries along 2 new axes (Input Population Segment & Autonomy Level), anchor 'good-enough' to human baselines, and plan progressive autonomy expansion.

Narrow MVP scope along 2 axes: Input Population and Autonomy Level

Anchor 'Good-Enough' thresholds to empirical human baselines

Design progressive autonomy expansion roadmaps governed by evidence

Scope the AI MVP and Define "Good-Enough" Against Real-World Baselines

In conventional software development, a Minimum Viable Product (MVP) implies reducing the functional feature set - shipping fewer UI screens with end-to-end functionality. In AI product engineering, however, stripping features fails to solve the core existential risk: AI uncertainty is driven by unknown output quality boundaries, not feature count.

An AI MVP that merely strips UI components while demanding unconstrained model perfection will fail upon first contact with messy production data.

Running Example: Legal-tech platform FinTrack Legal developing an automated contract assistant: "AI analyzes commercial vendor contracts to flag unfavorable liability clauses and risks."

TIẾP CẬN CŨ / LỖI THỜI

Legacy MVP: Stripping UI Features

Leaves data population unconstrained, causing model failure on live traffic

CHUẨN AI PM / HIỆN ĐẠI

AI PM 2-Axis Scoped MVP

Constrains Input Segmentation (NDAs only) + Autonomy Level (Copilot review)

AI MVP SCOPING•2-Axis Scoping & Baseline Grounding

Scope AI MVPs and Define 'Good Enough' Against Realistic Baselines

Compare Scoping Strategies on FinTrack Legal:

AXIS 1: INPUT SEGMENTATION

✓ Strictly scopes to Non-Disclosure Agreements (NDAs) - high standardization and clean historical data.

AXIS 2: LEVEL OF AUTONOMY

✓ AI Copilot: Highlights risky clauses and drafts redlines; junior counsel approves before dispatch.

AI MVP Principle: Scope via Input Segmentation and Autonomy Levels. Ship only when outperforming human baselines in a narrow domain at significantly lower operating costs.