Phase 1: Client Discovery & Problem Decomposition · 45 min · Python · Markdown

Scoping Conversations & Managing Scope Creep

What's out of scope matters more than what's in scope.

What you will learn

Structure a scoping conversation: align on MVP, timeline, success criteria, and explicit out-of-scope items
Identify scope creep patterns: 'just one more feature', 'can it also do X', 'we forgot to mention Y'
Push back professionally using evidence-based disagreement and trade-off framing
Implement a change request process: document, re-estimate, get written approval

Objective

What you'll learn

This lesson takes approximately 45 min. By the end, you will be able to:

Structure a scoping conversation: align on MVP, timeline, success criteria, and explicit out-of-scope items
Identify scope creep patterns: 'just one more feature', 'can it also do X', 'we forgot to mention Y'
Push back professionally using evidence-based disagreement and trade-off framing
Implement a change request process: document, re-estimate, get written approval

The Problem

Scope creep kills enterprise AI deployments. A client asks for "a chatbot" in week one, and by week three they want 47 workflows, 6 integrations, and a full support team replacement. The FDE's job is to hold the line — not by saying no, but by structuring the conversation around what's in scope, what's explicitly out, and what goes into a "phase 2" backlog.

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