Ideate
Identify the customer problem, define a valuable thin slice, and clarify the assumptions that must be tested.
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A three-week AI product validation sprint that uses your real workflows, real data, and customer evidence to determine what is worth building.
Start a sprintTeams often commit to platforms, vendors, and production plans before they know whether customers want the product, the data is usable, the prediction risk is acceptable, or the business case is real. Snowball Sprint™ creates a working application and tests those assumptions before the investment grows.
The sprint identifies a thin, valuable slice that can be tested with real customers.
The sprint uses actual or representative data to expose feasibility, quality, and risk early.
The sprint puts a working application in front of customers before the team scales the build.
The sprint reveals what must change, what can scale, and where architecture or governance is required next.
The work moves quickly, but it does not skip architecture. Each phase reduces a different kind of uncertainty and leaves something concrete behind.
Identify the customer problem, define a valuable thin slice, and clarify the assumptions that must be tested.
Shape the product, data, workflow, prediction risk, and business case into a testable working system.
Build with real data, test with customers, and refine the experience until the evidence becomes clear.
Decide whether to advance, change direction, or stop—and define what architecture, governance, and production readiness require next.
Snowball Sprint™ proves whether an AI product deserves to move forward. Ray Butler extends that work through AI Systems Architecture. The architecture surfaces the workflows, decisions, authority, context, governance, and learning production requires, before they become hidden risk.
Clarify how work moves, where decisions occur, and what AI may recommend or perform.
Define oversight, intervention, escalation, accountability, and recovery conditions.
Translate a validated product into an operating system the organization can sustain and evolve.
The people who own the problem, the work, and the consequences.
Real steps, real handoffs, real exceptions, and the places where work actually breaks.
Enough information to test behavior under conditions that resemble reality.
A committed working group that can resolve ambiguity instead of postponing it.
The sprint must be allowed to reveal that the original assumption was wrong.
Bring the problem, the customers, the data, and the operating reality. Leave with a working application and evidence strong enough to decide what happens next.
Start a sprint
Snowball Sprint™ was created by Greg Nudelman and is delivered by Ray Butler as a certified practitioner.