Define the scope of your Uplyst implementation

Identify where better information can improve a decision, then define the data, people and work involved.

Discovery scope

Decision: What does someone need to decide, and what triggers the review?
Evidence: Which records do they use, and what information is missing or disputed?
Owner: Who judges the answer and owns the resulting action?
Scope: Which processes, sources and exceptions will the initial implementation cover?

Understand the decision

Start with a moment when someone must choose an action: a planner reallocating stock, a controller investigating a variance or an account owner reviewing a delivery commitment. Describe the trigger, the available choices and the consequence of delay. This makes the scope easier to evaluate than a general request for a unified view.

Ask the process owner to walk through a recent case using the records they actually needed. Capture the manual lookups, uncertain definitions and approvals along the way. Those details reveal which relationships matter and where the current workflow loses time or confidence.

Identify the information people use

Identify each source record used in the decision and its authoritative owner. Record how the user currently obtains it, how frequently it changes and what makes it trustworthy. Include spreadsheets and human confirmations if they are part of the real process rather than assuming all evidence comes through a formal API.

Separate a missing integration from a missing business definition. A system may expose an amount without explaining whether it is committed, invoiced or settled. Discovery should identify that semantic gap so the proposed architecture addresses the actual problem.

An operations analyst demonstrates the source records behind a business decision to an implementation specialist.

Set a manageable first scope

Limit the first scenario by entity, site, product group or operating process. Include enough variation to test the important assumptions, while avoiding a scope that requires resolving every organizational data issue before a user can review a case.

Set a manageable first scope
Scope element	Working question
User	Who makes the decision and who owns the outcome?
Evidence	Which records establish the relevant facts?
Authority	Which changes require approval?
Evaluation	What observable result would justify the next step?

A customer operations lead works through an unresolved account issue while a specialist observes the decision process.

Identify constraints early

Review data access, network boundaries, source load, retention rules and sensitive information with the relevant owners. Determine whether the evaluation can use representative records safely and whether a source interface is available under the organization’s operating constraints.

Document unresolved assumptions as decisions to make. A source that cannot provide historical changes may limit event reconstruction. An absent process owner may prevent meaningful workflow approval. These issues should shape the scope rather than being hidden behind a delivery estimate.

When two teams disagree about a definition

Record both interpretations, the decision each supports and the person authorized to resolve the difference. The agreed definition guides the mapping.

When a required source is unavailable

Agree which sources and cases can be included, and document the limitations of the revised scope.

Agree the implementation plan

A useful brief includes the scenario, source inventory, initial business model, action boundary and evaluation cases. It also records ownership, dependencies and what is deliberately outside the first scope. The business sponsor and technical owners should be able to explain the same operating outcome from that document.

The plan should include difficult cases, conflicting records and source interruptions, so the team can test the conditions it will encounter in practice.