Methodology
How DataSense Works: Clarify, Execute, Review, Deliver
A shared workflow organizes clarification, input checks, execution, review, delivery, and revision. Methods differ by service, but material inputs, decisions, and unresolved issues should remain visible.
At a glance
DataSense first clarifies the objective and checks the supplied material, then executes and reviews work according to the task before organizing delivery. If review uncovers a problem, the workflow returns to the affected stage instead of hiding the input gap.
Confirm before starting
- Confirm the question, intended reader, and core deliverable.
- Check whether materials are readable, clearly defined, and version-consistent.
- Record timing, applicable rules, known gaps, and scope constraints.
Retain during execution
- Keep the data definitions, methods, and treatment notes that affect the result.
- Distinguish source facts, analytical results, interpretation, and unresolved items.
- Record material conflicts and how they affect later stages.
Review before delivery
- Check values, labels, references, structure, and file completeness.
- Confirm that the deliverable answers the original question without exceeding the evidence.
- List items the user must confirm, supply, or revise further.
1. Clarify the objective and inspect the material
Confirm the question, audience, deliverable, timing, and rules, then check that files are readable, data or document versions agree, and key definitions are present. If a material conflict remains unresolved, narrow the scope or obtain the missing information first.
2. Execute with task-specific methods and retained context
Data analysis, research support, visualization, and formatting require different steps. During execution, retain definitions, methods, sources, and change notes that affect the output so later review can identify where an issue arose.
3. Review, deliver, and revise
Check values, structure, labels, references, and file completeness before delivery, then have the user apply relevant expertise. If an input is wrong, a rule changes, or an interpretation exceeds the evidence, return to the relevant stage and recheck affected work.
A workflow does not remove professional judgment
Clear stages reduce omissions and preserve review clues, but they cannot remove uncertainty in the material or replace the user's judgment about professional meaning, applicable rules, and final use.
Frequently asked questions
Why is clarification needed before work starts?
The same material can support different questions and deliverables. Confirming the objective, scope, and limits first helps avoid unsuitable methods and repeated work later.
Do all services use the same workflow?
They share broad stages, but the specific work differs. Analysis focuses on fields and methods, visualization on information relationships, and formatting on document structure and target rules.
What happens if an input problem appears during execution?
Record the problem, its affected scope, and what needs confirmation. Pause affected work when necessary, then supply new material or revise the scope before continuing.
Who confirms the final deliverable?
The user makes the final confirmation against source materials, relevant expertise, and applicable rules. The workflow supplies review points but does not replace that judgment.
Related pages
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