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Planning guide

Dashboard requirements that lead to a working tool

“Show our KPIs” is not a requirement. A useful dashboard connects a trusted definition to a real decision, for a known user, with enough detail to explain and act.

Published August 24, 2026 · 10 minute read

Use this checklist before choosing charts

The visible interface is the last layer of a dashboard. The deeper work is agreeing on meaning, access, freshness, and action. Work through the checklist with the user, a data owner, and whoever will maintain the tool after launch.

1. User and decision

Name the primary user, the question they arrive with, and the decision or action the dashboard should support.

2. Metric definition

For every KPI, write the formula, grain, time zone, inclusion rules, owner, and acceptable freshness.

3. Source of truth

Identify the table, sheet, API, or system for each field. Note joins, identifiers, and data that arrives late.

4. Filters and drill-down

List the filters users need, their defaults, and the detail view required to explain an unexpected value.

5. Operational actions

Decide whether users only view data or also update a record, approve a request, assign an owner, or trigger another workflow.

6. Access and audiences

Define who can view, edit, export, or act. Specify whether data must be filtered by team, region, account, or client.

7. States and exceptions

Design empty, loading, stale, partial, error, and permission-denied states—not only the ideal dashboard.

8. Validation

Choose benchmark queries or manually checked records that prove each metric and action behaves correctly.

9. Ownership after launch

Name the owner for definitions, data incidents, access requests, and future interface changes.

A one-page requirements template

Dashboard name / primary user / decision supported

Usage frequency / KPI definitions and owners

Data sources and freshness / required filters

Detail views / write-back actions / access rules

Known limitations / validation benchmarks

Post-launch owner / 30-day success measure

Example: an order operations dashboard

Weak request: “We need an order dashboard with revenue and status.”

Working requirement: “The fulfillment lead opens this dashboard each morning to find paid orders older than 24 hours that have not shipped, assign an owner, and inspect customer and inventory context before acting.”

The stronger requirement tells the builder which users, filters, table columns, detail views, freshness expectations, and actions matter. Revenue may still appear as context, but it is no longer confused with the operational job.

Define success beyond launch

A published dashboard is an output, not an outcome. A 30-day success measure might be fewer manual status requests, faster exception resolution, less spreadsheet preparation, or a higher percentage of decisions made from the agreed metric. Pick one measure before building.

Bring a real requirement into Dezbor

Connect the source, validate one metric, and build the smallest view that supports the decision.

Start building