Assisted decision-making begins where the dashboard ends.
An interface can make data visible without making the decision clearer. Acting on it requires qualifying signals, explaining recommendations and preserving human validation suited to the context.
1. Define the decision you expect
Relevant analysis starts with a real choice, not an available visualization. Define the decision, its time horizon and the role responsible for it.
Frame the question as “should we check, adjust or wait?” before selecting the useful data.
2. Qualify the available data
A recommendation must not hide data that is incomplete, late or drawn from a different scope. Known limitations are part of the information shown to the user.
Flag that a channel or location is missing from the observed period before proposing a consolidated view.
3. Establish a comparison context
A deviation becomes interpretable when placed in a comparable situation. Location format, channel, period and recent changes prevent misleading comparisons.
Show the signal alongside its reference and any events that may affect how it should be read.
4. Prioritize signals
Not every deviation deserves the same attention. Scope, urgency and recurrence should guide the order in which they are reviewed.
Separate information from an item to check soon or an action that needs an owner.
5. Explain the recommendation
A useful proposal states what is suggested, why it appears and the limits within which it should be understood. The user must be able to trace it back to the supporting signals.
Attach the source data, scope and a clear description of the proposed action to each recommendation.
6. Preserve human control
Assistance removes neither responsibility nor field knowledge. Sensitive decisions must remain subject to validation by authorized roles, with the option to modify or dismiss a suggestion.
Offer several possible next steps and require explicit approval before any action with an operational impact.
7. Learn from the observed outcome
The quality of decision support is also judged after action is taken. Retaining the decision, its context and its outcome helps improve interpretation rules without erasing human judgment.
During a review, compare the initial signal, the selected decision and the observed change to refine future handling.